When a College Teacher Requires a Student to Use AI in Their Course They Devalue Independent Thinking and Fail the Student

I recently saw a post where a college teacher gave a student an ultimatum regarding AI for their class. To be in this course, you have to use AI. Or else!

The student chose not to take the teacher's course.

The teacher then proceeded to disparage the student in their post, labeling them in a less than flattering manner.

I admire the college student in this instance. The teacher not so much. There was once a time when college's valued independent, critical thought and sided with the students who think for themselves. There was debate and a high tolerance for alternative views and opinions.

Apparently, now, higher education wants their students to "get with the program" and conform. “Use AI in my course or hit the road.” This is probably where the AI boosting has exposed a strong failure in our colleges and universities. It’s sometimes dogmatic acceptance of technology as the answer to everyproblem, or what Michael Huesemann and Joyce Huesemann called a “Technofix.”

When a college teacher is allowed to discard and disparage a student because they choose to refuse using AI on a principle, then that teacher and institution of higher education has failed.

As a side note, it should be noted that this teacher self-promotes as an AI expert who has apparently bet their entire career on the product. Hardly, the role model for being open-minded.

Screen-bans and Screen Limits in Schools? Why Not? An Educator's Opportunity to Free Students for Screen Capture

We forget that, in spite of what Big Tech and Tech boosters tell us, we do not have to live lives serving technologies, whether they be AI, Internet, or text messages. We are forever in control, if only we take it.

“We are complicit in our own captivity. Texts, emails, and social media posts constantly interrupt us because we have allowed them to—and we cannot resist attending when they do so,” writes Nate Anderson in his book “In Emergency, Break Glass: What Nietzsche Can Teach Us About Joyful Living in a Tech-Saturated World.”

We are “complicit” in our screen-captivity because we have allowed ourselves to be so. The moral question is perhaps, “Should we also be complicit in the screen-captivity of our students too?” This is done when we race to implement technologies in our classrooms without much thought regarding consequences. “The technology is so damn neat!” we tell ourselves, so we race to use it with students, but are we making ourselves complict in their “screen-capitivity?”

As a part of our so-called “digital literacy” why are we not empowering students to take control of their technologies? Why are we not teaching them strategies to counter attention capture?

We claim we are teaching how and when to use, but unfortunately, it seems, to the pleasure of tech companies, we are teaching them to always use tech. We are teaching them that tech alwayys has the answers, even though it does not.

The screen-bans for me are a powerful tool to break down the tendency of Ed Tech boosters and educators to teach students to become “complicit in their captivity to screens.”

While I am not sure of the complete ban, I do think classrooms that are device-free and not dependent on screens should exist, and it should exist at the discretion of the teacher. The notion that technology can’t stink is false too.

At the other side of these screenbans and screen-limits, perhaps there will be some sanity when it comes to whatever pours forth from Silicon Valley. Sanity, when the next “device craze” hits.

Perhaps those who stand to make bundles of money and their careers off the tech-latest will face a wall of criticism when they declare the next technology to arise as “transformtional” or “game-changing.” Maybe there will be voices that say, wait a minute…”

Right now we have the opportunity to stop being complicit in our own captivity to screens and devices, and we should take it. We can do it and we can teach students to not allow themselves to be controlled by screens.

The Education System Will Not Fail If It Pauses on AI Adoption

AI boosters in education still are pushing the false technological deterministic narratives that Big Tech has indoctrinated them with.

How many times this week have I seen them struggle with the fact that two very large school districts, Los Angeles and New York, have decided to ban AI student use.

In response, they fall back on the tired, worn-out deterministic language that says "AI isn't going anywhere." That somehow students are going to be "behind" or "deprived of something" because of this.

None of that is true of course. There is no urgency in adoption of AI by educators. AI companies like OpenAI and Anthropic and Google want us to believe there's an urgency.

But that's because they are desperate to make a profit off this product. So far they haven't. It is urgent for their bottom line, but it is NOT urgent that we turn our students over as users of their products.

I applaud school districts and educational leaders who decide to pause and wait. There is no evidence that the world is going to end except for companies that have bet their whole existence on the success of a product that has yet to prove itself widely.

With the Race to Adopt AI Are Educators Getting It Wrong Again? Probably So

 I suspect education and Ed Tech will get AI wrong like it did with other Tech.

After they spend a great deal of scarce money on a LLM product, they will then be forced to justify it so they will force teachers and students to use the product. 

Their measurement will be number of users and user time, not a measure of effectiveness or achievement. That’s what happened with all the Chromebooks.

The question won't be "Do you find it useful?" It will be one of the must-do's on teacher evaluations. We-bought-it-you-use-it approach.

Why does this happen? Educators and school technologists eagerly adopt a new technology before it has even had time to prove any usefulness. Is it a race to brag?

Or, a neighboring district brags about adoption, and the district has to keep up with the Jones's. Why else do you hear the "Everybody-is-using-it" justification.

Instead of this adoption model, why not try small-scale scientific studies?

Before you sign those 3-year contracts, explore through small-scale adoption with company's free access? Not a two-week trial. Perhaps a two year trial. Don’t declare the product effective because of one-semester of correlated positive results. Be patient.

Perhaps education got technology wrong, and there's a screen ban/limit backlash because there was no local experimentation and evaluation. There was a race to adopt.

When Ed Tech Says a Product Like AI Is Inevitable, Don't Buy It: It's All Marketing

It is imperative that AI companies have their LLMs and Generative AI products be accepted as legitimate. So they working overtime to force-feed this acceptance in education.

It seems they are following an old Big Tech playbook.

The initial thrust is to get your products accepted as inevitable by everyone, especially the field of education.

The inevitability tactic short-circuits any questioning about whether the technology has a place in the classroom. It forces educators and those with concerns to surrender without question.

That same “Forced Inevitability Acceptance Tactic” was used with social media, Chromebooks, and many other technologies and well as ed tech in general.

Now that there are thoughtful people who are questioning the central pedestal on which we have placed technology, the Tech companies are pulling out all the stops to win acceptance of the inevitability of their new AI products.

Thoughtful and critically minded educators should:

-Question every word of every promotion of AI and technology. Interrogate who wins the most with adoption and you can bet it’s not necessarily the students or teachers.

-Never accept research conducted and funded by tech companies and their consultants who stand to gain the most from the acceptance of these technologies. Big Tech is immensely skilled in engaging in this tactic and have the money to back it up.

The screen limits and bans were much more inevitable than the technologies themselves. When products actually cause harms or fail to live up to the promotional blather, thoughtful educators no longer allow these companies to blame the user. Sometimes the tech product does suck.

There is hope as long as educators remain skeptics and do not accept the inevitability argument ever.

Can You as an Educational Leader Trust the Evidence of Effectiveness Provided by the Product Developer? Probably Not

Can educators and educational leaders trust the research that companies provide about their products? Should they? Probably not. The tech industry that includes Ed Tech has a major credibility problem in the middle of the calls for screen bans and screen limits. For example, there is growing independent evidence that social media is harming our children. Why else would Facebook settle their massive lawsuit.

I just completed reading Max Fisher’s 2022 book “The Chaos Machine: The Inside Story of How Social Media Rewired Our Minds and Our World” and it clearly describes why we can’t trust research provided by companies on their own products. The book reinforced why I quit Facebook and Twitter sometime ago. But one particular incident in the book illustrates clearly to me why companies just can’t be trusted to provide unbiased, reliable evidence of their own product’s effectiveness or lack thereof.

In the book, Max Fisher points out that Facebook completed an internal study of their technology’s effects when faced with growing suspicion that their site might be making the political divisions in the US worse. Their own research warned internally that the platform was doing exactly what their company’s leaders denied it was doing. 

Their own leaked research said “Our algorithms exploit the human brain’s attraction to divisiveness.” According to Fisher, this was in a 2018 presentation leaked to the Wall Street Journal. This presentation also said that Facebook’s systems were designed in a way that delivered users “more and more divisive content in an effort to gain user attention and increase time on the platform.” 

Later, this research was hidden by Facebook executives and they rejected the recommendations for tweaking the algorithm that would have resulted in less time spent online. They, in other words, deliberately chose to keep users addicted to divisive content that their own machine served up to them.  

This is why companies’ research can’t ever be trusted. Neither can their executives. This is also why educators can’t trust research either done by or paid for by the companies whose products they are considering to purchase.

Companies simply aren’t going to provide educators and educational leaders with reliable, independent evidence that their products are effective. They are also going to hide studies that are less than supporting of their products. I would expect no different, after all that would prevent sales.

Facebook’s own research showed their product was harmful, yet they buried the evidence. They made the deliberate choice to keep their product addictive.

As an educator, I always ask for independent evidence of product effectiveness. Independent being evidence generating by studies not done or paid for in anyway connected to the company. Most often, none exists.

If such evidence does not exist, then   ask the company to allow you to run a study of their product on a trial basis. Use research methods to evaluate the product for what they claim. Once you have that, publish it and make it known. Share it with other individuals.

I can envision a whole network of school technologists who independently evaluate these products and share that evidence independently and not as a testimonial asked for by the company. 

Where the evidence comes from, who paid for it, who conducted the study that generated it, and why the evidence is being provided all matters.

This is what has been lacking in the massive technology acquisition and placement in schools. Now, our parents and common decency requires us to do things differently.

Is the US Department of Ed's Advice to Judge Screen Products by Evidence Helpful? Not Really

The latest advice provided by our US Department of Education advises educators to judge educational technologies by evidence of impact on learning, but there’s one problem, where do we get that so-called “evidence.” From the companies themselves? That’s a horrible idea

“…instructional technologies should be judged by their impact on learning, not simply whether they happen on a screen,” said Assistant Secretary of Elementary and Seconday Education Kirsten Baesler, in her attempt to salvage the status of educational technologies.

The problem is finding such evidence. Sure, you’ll get bombarded by “testimonials” from other districts about how effective a product is, but a pal of an owner of a ed tech company hardly counts as evidence. Besides, testimonials are not reliable and valid evidence. Too much room for corrupting influences in those.

What about any studies the ed tech company provide in their sales pitches? Well, I would not get too excited about that either. According to a 2019 Hechinger Report article, “The Dark Side of Education Research: Widespread Bias” by Jill Barshay, we need to scrutinize any research companies provide as evidence of their product’s effectiveness. Surprise, it is too often biased toward their own products.

Like Big Pharma, who has been guilty of generating their own faulty, self-promoting research for their products, Ed Tech companies and other educational resource companies have been operating from this playbook too.

This 2019 article examined a John Hopkins University study of 30 years of educational research by developers of educational interventions and products. These companies conducted their own research or paid someone to do the research, and most of the time, the results commonly showed greater benefits for students than when the research was independent. “On average, the developer research showed benefits—usually improvements in test scores—that were 70 percent greater than what independent studies found.”

In other words, studies done by or funded by the companies themselves were biased. They always made the product look better than independent studies did.

So, the US Department’s admonition that educators and education leaders “look to the evidence” before banning a screen product will not help at all. Most products, if there is any evidence, it is either testimony from another district, which is highly unreliable, or it is their own insider research which can’t be totally trusted.

Most companies, after all, would not want independent research because you can’t control the outcomes. Who wants to find out their product is garbage?

So what do we do with the US Department of Ed advice? Not much it seems, for independent, reliable research on these products is rare and mostly non-existent.

With school district technology employees taking free training from the likes of Google, Microsoft and others, can you really trust anything they say about the products either?

I might add as well, school technology conferences are also heavily underwritten by technology companies, so…well, not much help there either.

What do we do then as educators to determine whether a screen product is effective at what it does? Without independent research, I would conduct small-scale in-school studies myself before implementation to determine effectiveness. If enough educators did this and shared results, then there could be a pool of independent knowledge about these products. But it is going to require school technology educators become critically independent.

As expected, the US Department of Education’s advice about technology is about useful as a study provided on the safety of cigarettes by tobacco companies.

The Real Content of Digital Literacy and AI Literacy

What is AI literacy and digital literacy? Well, it shouldn't be just be teaching students "how to use."

It should be teaching students the technologies on a level that they can understand them much, much more deeply. 

We don't want "societal automatons" who just use as they're told.

We should want humans who can make the moral choices about what role AI specifically and technology generally plays in their lives and their future.

We should want humans who can decide for themselves whether the energy costs, water costs, and other resource costs are worth the continued personal and societal investment in AI and other technologies.

Too often Ed Tech and Digital literacy is about making "good-little users and consumers of technology."

Equipping our young with the whole picture behind these technologies, such as environmental costs, human costs, even personal costs, as well as a deep understanding beyond just churning out users for business and industry is imperative. 

Otherwise we are just dumping all the problems in their laps to solve. And I don't have the religious faith in technology that I once held. It is not our savior in waiting. We still have to come back to the human.

When a Silicon Valley CEO Predicts All Jobs Are Doomed, Remember He's Selling You Something!

Why do we continually insist on giving credence to these Silicon Valley CEO prophetic declarations? We shouldn't.

For example Dario Amodei recently prognosticated a whole list of jobs that will be replaced with his pet technology, and I have seen it reposted here in LinkedIn like it was the ten commandments passed down from Mt. Sinai. Why? 

These Seers of Silicon Valley do not deserve this credibility at all. They get much more wrong than right.

For instance, Gil Duran describes one of these errors of prognostication in his book “The Nerd Reich.”

Elon Musk, who has a high opinion of himself and his prophetic talents, predicted in March 2020 that the COVID virus “would soon disappear.” He said at the time, “Based on current trends, probably close to zero new cases in US too by the end of April.”

“The billionaire had zero idea what he was talking about. The pandemic was just getting started.”

We have elevated the Silicon Valley CEOs and technology engineers as well as technology companies to a level of credibility they do not deserve. They have internalized this status and are now the most arrogant and self-promoting humans on the planet, constantly bombarding us with their predictions, which curiously benefit themselves.

This needs to change.

Education needs to stop granting credibility to every prophecy that pours forth from Silicon Valley and from Ed Tech companies. They do not have a special crystal nor a dispensation from the gods that grant them the ability to see into the future. Perhaps instead of taking Silicon Valley CEO soothesaying as gospel, we need to get our students to analyze this for what it is.

Besides, we can see that these so-called “prophecies” are simply part of the marketing tactic to sell more of their products.

The next time you see a post on social media or some glorified media article where one of these prophets of technological doom or paradise are quoted like a propeht, remember that prophets like Musk and his predictions on the pandemic, do not have any idea of what they are talking about. Chances are their prediction directs more people to their products in order to enrich themselves. 

US Department of Ed's Ed Tech Guidance Proves Screen Bans and Screen Limits Just Might Be the Best Tool Parents and Educators Have

There’s a lot of hype by Ed Tech about the new “guidance” offered by the US Department of Ed about technology. Too bad it’s mostly nonsense, and more helpful to ed tech companies than parents, teachers and the students.

One thing missing from the US Department of Ed's new Ed Tech guidelines is an admonishment of tech companies who purposely engineer their products for "screen time" maximization, or what is otherwise known as "engineered addiction."

This is one reason alone for continuing to insist that "screen time limits" may actually be the only tool parents and educators have to counter this problem. 

The US Department of Ed, which I am not sure I would expect much from a department headed by a former WWE professional wrestling executive, fails to point out that tech companies should not have as a goal screen time maximization.

The problem is that tech is purposefully addictive. Cells phones are designed to be the center of attention with their beeping, buzzing, instant notifications. Social media apps are designed to distract users and keep them distracted.

Technology companies need to remove engineered addiction from their designs.

I've been stepping back to 2022 and reading Max Fisher's book "The Chaos Machine" and Fisher points out that Silicon Valley's playbook, whether its Google, Apple, Facebook, Instagram, or TikTok, is to "track and manage users' screen time.

That is the problem with tech in general and Ed Tech specifically. It’s machines of manipulation.

The only tool parents and educators have against this playbook are "screen bans" and "screen limits." Breaking the allure is the one tool that works.

Our goals as educators should not be to preserve screen time for tech companies; it should be to engage students in such a way that the answer to everything does not involve reaching for a device.

Screen Bans Should Be Embraced as an Opportunity to Think Outside the "Technology-Always-Has-The-Answer Box"

Screenbans in schools is an opportunity for Ed Tech and educators, not a threat.

Why? Because it is an opportunity to disrupt the tech-solutionism that has obsessed educators since the PC entered the classroom.

Tech-solutionist see technology as the "always-answer" to every problem.

This thinking places educators in a "Technology-Always-Has-The Answer" box where every problem has a tech solution. That turns into technology-obessiveness.

Despite what the Ed Tech marketers have promoted, they have not been promoting "thinking-out-of-box"; they have been promoting only thinking in their box. 

Screenban discussions and talk moves the thinking outside "technology-always-has-the-answer box” to a universe and world of options out there. Not every problem has a tech solution. 

Screenbans are disruptive of the Ed Tech status quo with its tech-solutionist answers. That’s the reason for their concerns.

Educators should take advantage of this time and de-center technology and place it among the other tools in the toolbox and reach for it when it solves a problem, not spend all their time looking for problems to solve with tech!

Ed Tech Does Not Always Have to Be Revolutionary: It Just Has to Work!

 Educators don’t always adopt Ed Tech to “revolutionize” or “change” anything. A tool doesn’t have to transform the work to be effective.

Sometimes you adopt a new technology to facilitate and help do what you are currently doing, not disrupt; not transform; not change anything.

The mistake often made by Ed Tech is thinking that their product must “revolutionize” or “transform” and that’s their marketing story.

The truth is, there are times when no change is needed other than having a tool that helps you do what you are doing better.

I suspect one of the reasons for the so-called “tech-lash” is because of promises of transformation that never panned out.

But the Ed Tech industry never blames their technologies. It’s always the implementation or the “system” that is rigid and unwilling to change. But, it just might be that the technology does not work, and in some cases it might be harmful.

Have you ever heard anyone in Ed Tech blame technology? I haven’t heard that that I recall. It’s never the technology’s fault.  It’s the system, the school, the leadership, the teacher, the student, the parent…never the technology.

But, just maybe, the Ed Tech is garbage. Maybe the company spent a ton of money dressing it up in expensive marketing clothes, and the actual product is junk. 

Ed Tech does not have to always be revolutionary or transformative. Sometimes it just has to help schools and teachers do what they’re doing better. That’s not as big a sell, but it is a solid product.

Why Are All Office Suite Apps Now Garbage? Arrogant Software Companies Think They Know What Features I Want Better Than I Do

What is it with App developers these days? They really do think they know what I want as a user of their product better than I do.

Microsoft Office has been transformed into garbage. Google Docs is trash. Now, Apple has turned Pages, Keynote, and Numbers into slop by adding a ton of crap and trying to charge a subscription for it.

Earlier this year, I trashed Evernote because of their arrogant force-feeding of features down users throats. I had been a user since at least 2011 or so. 

I cancelled my Microsoft Office 365 subscription after being a user since at least 1996 or so.

True to Cory Doctorow, "all office software has been enshittified!"

Software developers have become so darn greedy that they are willing to make their products trash in order to squeeze one more cent from their users.

If this trend continues, I suspect I might even have to revert to pen and paper.

Come on software developers. Stop trying to shove features down users throats and just maintain an acceptable and useable product.

Why Is There Techlash and Screenbans? Perhaps Its Because It's a Problem!

I spoke to a parent of a middle schooler today. Somehow in the discussion technology came up in our conversation.

She said she honestly believed technology has ruined her son. He uses it for play and distraction instead of learning. He is consumed by it. 

Which makes sense, because our handheld tech is engineered for distraction.

She brought up here school's Chromebooks program and how she saw it a detrimental to her son's education. He simply could not handle the "freedom to be distracted."

Before you start blaming the parent, perhaps there needs to be more thought.

This illustrates what we've got wrong with Tech; we assumed it was the answer for all students. We standardized the technology and how it was used. No wonder there's what Ed Tech calls "Techlash"!

Instead of arming ourselves with arguments for Tech, perhaps we should focus on the students. The technology, if it is simply a tool, it does not have to be the tool used in learning. 

Maybe personalizing learning means having students who learn more effectively without tech engaged in screenless activities. Just maybe we can go a day or two, a week or two, or even a course or two without Tech.

The screen ban trend is not a marketing problem; perhaps sometimes the Tech IS the problem.

The Missing Component in Digital Literacy: Critical Examination of Consequences of Our Digital Technologies

When we speak of digital literacy in education, often that notion is about the construction of “good little users and consumers of technology.” Instead, what is needed is a digital literacy curriculum that expands into examining the greater societal and environmental impact of the choices we make in technologies.

In other words, most often, digital literacy accepts the technology as inevitable, and that we have no choice but become users. When our digital literacy efforts do this, they are simply serving up students as consumers for Silicon Valley tech companies. With that, we are complicit in increasing tech company power over us and our world.

A true digial literacy curriculum needs a strong critical component that carefully examines the consequences of our technological choices. For example, in dealing with AI literacy, there needs to be deliberate efforts to provide students with the ecological consequences of the massive energy and water consumption of the data centers needed to power it. With social media, there needs to be deliberate instruction on how social media has negatively impacted our society. With every technology in our lives, there needs to be critical thinking about the use of that technology. In other words, students must be equipped with critical knowledge that empowers them to decide for themselves whether they want to be users of that technology or not.

Ed Tech is solely responsible for this state of affairs. They have instilled within us that technology is inevitable and that it is always the answer to our problems. The job of Ed Tech in education has always been unquestioningly turning administrators, teachers, and students into users.

When digital literacy focuses on a critical examination of technologies and the consequences of their use, you do not have “good little users and consumers of tech”; you have empowered citizens who create a society that decides for themselves which technologies deserve a place in their lives.

Advice to Teachers and School Leaders About Tech and AI from 1969 That Is Still Sound Today

There was an educational technologist who provided sound wisdom about AI and all technology in 1969.

Anthony Oettinger, who was a Harvard researcher, acknowledged in his 1969 book “Run, Computer, Run: The Mythology of Educational Innovation,” that instructional technology could lead to improvements in education.

But…he also provided some words of wisdom that Ed techies have forgotten.

He cautioned that instructional technology can’t be “force-fed, oversold, and prematurely applied.

Ed Tech has never taken that advice and plunged into implementation with every new wave of technology that arrives. Perhaps that’s just another reason that the allure of screenbans is so strong today.

With every new technology since the PC, school leaders and ed tech advocates jump to force-feeding those new technologies through “strategic implementation plans” and “forced professional development” without ever taking the time to critically examine those technologies’ places in schooling, teaching and learning.

Then, school leaders and ed techies move to engaging in the very “oversales” tactics that Oettinger warned about. Propagandistic presentations and sales language like “gamechanger, disruptive, and transformative” are the go-to words in this over-selling tactics before anyone has even really been able to explore the technology. Implementation is treated like a “marketing problem” and not whether the technology is actually useful.

Finally, school leaders and ed techies prematurely apply the technologies in widespread fashion. School leaders want to boast about their schools being 1-to-1 schools, AI schools. Ed Tech consultants want to boast about the number of keynote speeches they’ve made and the hours of PD conducted. This happened with earlier tech and it is happening again with AI. The over-selling has generated the hype without really giving teachers and students and researchers time to examine the technology.

Ed Tech has immediately jumped to the search for proof that they were right about AI’s transformative power without giving the technology any time to develop.

Ed Tech’s problem is that it has never encountered a technology that was NOT disruptive, transformative, or a gamechanger. By default, anything silicon-based that comes along fits the bill.

Ed Tech is more into selling technology instead of critically and methodically examining as well as exploring possibilities.

I end with three things offered as advice to school leaders and teachers that captures Oettinger’s 1969 advice:

-Don’t force-feed the tech through strategic implementation plans and mandated PD. Allow time for small-scale experimentation and even resistance if it arises.

-Don’t oversell or even feel like you have to sell a technology. If the technology is miraculous, it will demonstrate this. If it has no promise then it will show this too.

-Finally, don’t engage in premature application ever! Tech options like AI hasn’t been around long enough to be the salvation of education. Don’t talk implementation. Instead talk about experimentation and exploration. Give the tech time to prove itself.

Oettinger’s advice is not antiquated, but that’s how sound wisdom often is, if we don’t allow the glare and glitter of new technologies blind us.

Why Educators and School Leaders Should Be Skeptical with Anthropic's Free AI Access Offer and How to Protect Their Schools

Let’s call Anthropic’s “free” AI access offer for what it is…an effort to get teachers and schools hooked on their product like a drug pusher standing on the curb offering free trial samples. Well, maybe not, but it feels like it.

Obviously, once teachers have invested a great deal of time and data in the product, Anthropic is in total control. They control the technology-user relationship; they control the price; and they control the conditions of use. Schools and educators are in some ways really selling their educator souls!

The notion of being skeptical of anything offered for “free” applies here. Nothing is ever free for long. Absolutely nothing is free.

Anthropic is simply deferring that cost for later. School districts and educators who elect to partake will pay later for their “free” use.

Before having anything to do with Anthropic, I would consider this “free” offer carefully and anticipate expected costs once the system is hooked.

Also, educators and school leaders should demand answers to the following questions before even setting up an educator account:

1) How much can I expect to pay in the future for your product? I need to plan for anticipated costs before a commitment.

2) What happens to all the data that we invest in using your product? Will it be used for training models? Can we have a hard-clad contracted assurance that prevents this in the future?

3) You make no promises about being serious about student and teacher data security beyond quoting something about FERPA, to which you are NOT LEGALLY BOUND. So, what are you going to do to protect our data?

Those are the big questions school leaders should ask before taking Anthropic up on their “free” offer. Though I would say no thanks even before asking them.

Otherwise, school leaders should make sure they protect students’ data and school data by forbidding the upload by anyone in their districts to Anthropic’s product until answers are provided.

My ultimate fear is this is the usual Big Tech and Ed Tech sales tactic.

Get users invested and hooked first. Then you have total control of your users, both their access and price.

That’s not a wise way for school leaders to protect their students, staffs, and school resources. It is extremely short-sighted leadership and non-visionary.

That’s signing a blank check to Anthropic.

Stay away from Silicon Valley companies bearing gifts. It’s not a gift and it’s NOT FREE.

There Is Some Acceptable Logic with Screen Bans That Needs to Be Considered

Devices that have become common in our classrooms have a design problem that Ed Tech does not acknowledge. 

These screen devices and their apps have been in some instances engineered to be habit-forming. In other words, addictive characteristics have been designed into these applications and devices.

Technology companies have become experts at designing and engineering for habit-forming and addiction in their products. Big Tech companies like Meta and Tic Tok, just to start with a few, are experts in “hooking” users on their products.

I am currently re-reading Nir Eyal’s book, Hooked: How to Build Habit-Forming Products. This book is a textbook for addiction engineers. It describes how tech companies have pulled off engineered addiction with their screen-based products.

In fact, Eyal’s book, Hooked, is a how to book on how to make products addictive.

Once engineers have users “hooked” like drug pushers, they have customers who have been mind-manipulated to being endless users. Like drug users, they find it difficult to put down the drug. They will fight to protect both the product and the habit.

Eyal promotes what he calls “the Hooked Model” to addict users to products. 

This involves using four steps to achieve addiction:

1) Triggering initial user behavior;

2) Engaging user in an action;

3) Dispensing a variable reward to keep users coming back;

4) Getting the user to invest time, data, effort, social capital and money.

According to Eyal, subjecting potential customers to this “Hooked” strategy works. You have users addicted to your product. While this model might be simplified, it does capture  features in screen products we encounter on our devices.

He also calls his method of engineering addiction “a Superpower.”

I call it malicious manipulation of humanity for profit. Is there no consideration that such tactics at mind-manipulation are unethical?

Tech companies and others engage relentlessly in engineered addiction because it works. But there is something extremely immoral about the whole thing. The idea that you can design a habit-forming, engineered addictive product and celebrate it as a superpower is problematic. 

Teaching students and all educators how to recognize when such tactics are employed is vital. This is clearly a subject for any digital literacy efforts.

Is it any wonder why tech companies and Ed Tech are so upset about screen bans?

Screen bans nuke this engineered addiction model before it gets its talons into users’ minds.

If users regain control over when and how a device is used, then the game is up.

Using AI Is a Choice Not an Imperative: Knowing Why One Uses It or Not Is Important

If you examine closely any of the AI promotional posts here on LinkedIn or elsewhere, and the avalanche of AI educational books out of bookstores, one thing about AI and all this promotional hype becomes clear:

They are using AI to search for a problem to solve.

Why else do so many AI-promotional posts on LinkedIn begin with the words, “AI is not he problem, (Insert whatever is the problem) is the problem”? That is a dead give-away that the search is underway for a problem that Silicon Valley’s latest shiny toy can solve.

But, what if in my role as teacher, I am perfectly able to resolve my problems with tools already in my toolbox, or with cheap, non-technological solutions? 

Why should I use AI  when asking a friend for feedback on an email works? Do I use AI just to be able to say I used AI? That sounds like I am being faddish, not economical.

Why do I need to turn to technology for solutions as all of Ed Tech does?

Take writing. It can be done very effectively without technology at all. This writing, like all my writing, begins its existence as handwriting done with a pen on a page of paper. The pen and paper are perfect tools for writing. That’s what they were made for. Simple, useful tools for writing.

Writer Wendell Berry once wrote:

“If you are already solving your problem with the equipment  you have—a pencil, say—why solve it with something more expensive and more damaging? If you don’t have a problem, why pay for a solution? If you love the freedom and elegance of simple tools, why encumber yourself with something complicated?”

That’s it. That is the question at the heart about why I choose not to use AI tools. I already have tools to solve my problems. I choose not to use AI which is damaging the environment, a strain on natural resources, and has been created through human exploitation. It is clearly complicated.

I also love the “freedom and elegance of simple tools” that do not “encumber” me with the “complicated.” I can write anywhere with pen and paper. No need to connect to the internet or a power source. 

I write, I teach, I work fine with the tools I have. I have no need for an anthropomorphized, word-prediction algorithm to assist in what I do. I do not want to complicate what I do with technology just because it exists.

Right now, there are an awful lot of people whose future is staked on AI trying to convince the world that it can solve problems. They desperately search for problems it can solve. Their golden ticket demands it. Their every word is an exercise in searching for a solution for AI to solve.

Like Berry though, I relish the freedom and elegance of the simple tools. Perhaps that really should be the guiding force in Ed Tech: Look to the simple tools first. Instead of trying to justify the existence of a technology, really look for any solutions to solve problems.

As I live and work, why should I choose to enchain myself with the chains of complication wrought through using AI? There’s a reason why the old adage, “Keep it simple stupid!” is so well-worn.

What Is It with App and Software Developers? Offer a Garbage Product and Make Users Pay a Ransom to Get a Better Product? What Nonsense!

I deleted another app that has been on my Mac for well over 10 years. It is increasingly the story from software and app developers: They are arrogant and often could care less about what their customers actually want.

They start by offering a basically limited functional product and make customers pay for the features they need through additional costs in subscriptions. And in those subscriptions, they also make them pay for bloated features they did not want in the first place.

This arrogance is absolutely amazing! They really think they know better what their users want than their users.

What's more, they offer an initial garbage product, and force RANSOM PAYMENTS for those features the users want in the first place.

You can bet if the app offers a subscription model, they are probably engaging in this practice.

I have deleted two apps that I used for over ten years in recent days for this very reason. 

It seems Tech companies aren't about offering customers solutions anymore: They are about focusing on squeezing as much money out of customers possible through crappy products that can only be less crappy with more money.

When It Comes to AI and Screen Ban Arguments, School Leaders Shouldn't Accept the "It's-Just-a-Tool Argument": You Owe Your Students Much More

What should a school leader think about the brouhaha about screens and screen bans? One thing for sure, they should not allow Ed Tech and tech advocates justify them by using the “it’s just a tool argument.” That is just not true.

In education, the screen/device/app can be the problem. This is because it is much, much more than simply a “tool.” It is designed also for the purposes of those peddling it. 

Tech companies first and foremost have to have users, so in their design, they have to maximize user engagement. Once they have users, they want the users using their product. That’s attention capture.

None of this is a problem, except when getting users always engaged with your product is the main goal and other purposes take a back seat. Then, all design choices are not about utility; they become more about how eyeballs can be captured. That’s where addiction becomes the goal.

The metric becomes the amount of time the user is using the screen/device/app.

That’s where addictive tech design happens, and the screen/device/app becomes more than “just a tool.” It then becomes a distraction from other important aspects of life. Users spend inordinate amounts of time as users, and their behavior starts resembling drug addiction.

That’s what school leaders should be concerned about: the addictive design of screens/devices/apps and banning products or limiting student access to them becomes justified.

The school leaders responsibility lies, not with providing users for companies and eyeballs for their products, but with advocating and protecting their students from device purposes and designs that are not in their students’ best interests.

School leaders should not just dismiss the screen ban as something harmful for their students. They should embrace its discussion as a means to critically question all Ed Tech currently being used in their schools.

Perhaps school leaders should even engage in a Ed Tech audit in their schools by carefully and critically examining each and every screen/device/app in the building. 

-Look at the costs. 

-Assess the results and outcomes of use. 

-Examine each for addictive design features. 

-Carefully study how teachers, students, and staff are using them.

In the end, what school leaders should want to “ban” from their schools are two things: 

1) Uncritical acceptance of all technological solutions. Do extensive homework on your own and do not always rely on what Ed Tech vendors tell you.

2) Screens/Devices/Apps that are more interested in capturing users and attention instead of providing a product that works.

School leaders are in a position to take control of the screen ban efforts by using it to critically purge tech that is not in the interests of their students, and they can make sure companies are more interested in providing learning and teaching tools than addiction machines.

When a School Leader and Teacher Is Guilty of Delivering Student Eyeballs to Ed Tech Companies, That Is a Problem

As an educational leader who eagerly supported bring-your-own-device policies, one-to-one programs, and cell phones in the classroom, I am experiencing guilt.

Why? Because I am afraid that I was part of the Ed Tech trend that mistook the qualities of “engineered addiction” in these devices for “engagement.”

Like many educators, I witnessed the eagerness with which students took up these devices and appeared to use them in the classroom. In fact, they did do some amazing things. I remember many student-created videos that were phenomenal.

Yet, after 2010, I was not aware that one of the big reasons for that eagerness was due to Big Tech purposefully engineering these devices and their apps to capture attention.

In the mid 1990s, when I was the first teacher in my school building to use the internet in instruction, things were quite different. Those were pre-Big Tech days, before the Great Transformation of the web into the commercial garbage dump it is today.

In those days, the internet was not yet a place where the race to capture eyeballs was the goal. No engineered addiction, no commerce-driven sites, and no social media division existed. It was truly a place where information was shared. Connections could be made.

There seemed to be true promise with this internet. My students could use it to connect with the world outside the small town where their school was located. The technology at that time was unmediated by tech companies whose purpose was capture attention for profit.

That web was truly a tool for connection to information and the wider world.

Over time, you know the story. Things changed. But, into the 2000s I still believed in the promise of technology and that the more we got it into the hands of students, the more they could learn and accomplish. With our educational guidance, they could do wonders.

I started to be wrong, because gradually, tech companies began engineering addiction into their platforms. Their goals to provide information and connect became secondary to making money, so attention capture was most important. The products they designed were at odds with how we wanted students to use these technologies.

More and more of my students were starting to show symptoms of “screen-glaze” and it became more and more of a battle to pry their eyeballs loose from the devices.

I thought for a while that kids were kids and it was a simple matter of redirecting students as teachers often had to do with baseball cards, books, and toys. 

But this started to be different when I began to notice an increased hostility and anger when trying to redirect a student from their devices. They fought, and some even accepted suspension for a day or two instead of giving up their device. It was like asking an addict to give up a drug.

Today, Big Tech and Ed Tech has only improved their eyeball capture and addictive technologies. Their goals and incentives are engaging students in USING THEIR PRODUCT first and foremost. That is at the heart of the issue with ed tech in the classroom. That is one reason why there is starting to be demands for screen-time limits.

This is nostalgic and impossible, but if the internet were somehow back in the business of information provider and connector, it would be a better place. The early internet was limited and did not have all the bells and whistles of today, but the problem just might be the bells and whistles in the first place.

When the race to add features and eyeglaze to tech products becomes the goal instead of the original purpose, the tech companies are part of the problem.

In Your Work, Your Leadership, Are You an Exploiter or Nurturer? Your Life, Livelihood Makes It Clear

When it comes to your leadership, your livelihood activity, are you an “exploiter” or a “nurturer”?

In his essay “The Unsettling of America” Wendell Berry writes about these two “kinds of mind” and thinking about them in terms of our current culture of technological and economic obsession is interesting. According to Berry:

Exploiters are specialists, experts. The nurturer is not. They acknowledge their limited knowing.

The exploiter’s standard is efficiency. The nurturer’s standard is care.

The exploiter’s goal is money, profit. The nurturer’s goal is health—the land’s, his own, his family’s, his community’s, his country’s.

Exploiters ask how quickly and how much can the land be made to produce; nurturers ask what is the land’s capacity? How much can it be asked to do without diminishing it?

Exploiters want to earn as much as possible by as little work as possible; the nurturer wants to work as well as possible. For them, efficiency can be sacrificed for good.

The exploiter believes in organization, establishment; the nurturer has faith in human order.

The exploiter serves institutions, organization; the nurturer serves the land, household, community, place.

The exploiter thinks of numbers, quantities, hard facts; the nurturer in terms of character, condition, quality, kind.

Which describes the current EdTech industry and consulting industry? Which captures Big Tech today?

I think it is clear where the AI industry falls here, especially in light of their Data Center projects and the obsession with efficiency. Big tech is more exploiter than nurturer.

Exploiters care more about things and worship efficiency at all costs. Sound familiar? Nurturers care more about life, humanity, people, and well-being.

Your “kind of mind” is betrayed by you you engage in your livelihood and that which you do and advocate for. 

School Leadership Mistake in the 2000s? Evaluating Teachers in Teaching with Technology

The mistake made in 2000s was a school leadership-driven imposition of technology on teachers. 

The mistake was requiring teachers to “demonstrate that they were teaching with technology” in the doctrinally-dictated manner prescribed by EdTech and their so-called experts.

Technology should never have been imposed upon teachers.

It should have never appeared any where in standards for teacher evaluations.

School administrators should have never engaged in so-called policing operations called “classroom walk-throughs” in order to ensure compliance with so-called “teaching with technology.”

This is because technology is simply a tool. The teacher and students should be in charge of whether or not that tool is used.

Technology use by teachers or students should never be a standard or an outcome; it simply should be there if the teacher chooses to use it, and if it is needed.

By imposing technology on teachers and students, perhaps that is why we are now in the era of screen-bans. This is because the emphasis in the 2000s was not teaching and learning or even curriculum, even though the EdTech boosters said it was. It was technology.

The emphasis in the 2000s by EdTech and over-enthusiastic school leaders was THE TECHNOLOGY. It was placed central to learning, and now we know that was the mistake. That’s why there are pressures to take away the tech toys.

Now, AI boosters and educators trying to make a living and careers on a new technology are making the EXACT SAME MISTAKE.

They are putting their shiny new toy, artificial intelligence, ahead of students, ahead of teachers, ahead of curriculum.

These individuals are dumping curriculum and sacrificing everything just to get this new technology an exalted place in the educational institutions.

The end result will be that in 10 to 20 years, we once again will have sacrificed everything in education to exalt another technology.

The sensible thing for school leaders at this point is not to jump on the AI bandwagon fad with both feet. The sensible thing is demand all these individuals to back off.

There is no place in teaching standards, learning standards, or any educational standards for anything AI. Teaching AI is shortsighted and plain educational malpractice.

It is just a tool, that’s it. If it has a legitimate use in education, educators will use it.

If we impose AI on educators, on students, and on curriculum, it will simply be a checkbox, a hoop to jump through, and any use of the technology will be inauthentic and bizarre.

For school leaders, there’s no need to elevate a technology to a place beyond an item in the teaching and learning tool list.

Students Form Luddite Clubs in Opposition to "Screen-Centered Lives": Signs of Students Critical Thinking

Interesting. According to the podcast below, students form "Luddite Clubs" in opposition to "screen-centered" lives. I like it.

Time will tell whether this is something that catches on, but there is some important truths to think about.

We have allowed "screens" central places in our lives. We have placed them as indispensable and at the center of our educational institutions. We have even come to allow them now to act as companions, partners, and advice-givers in the age of AI. 

It's actions like the forming of these Clubs that should make all of us question the central place we have granted these technologies in our lives, and I would add our undying and misplaced faith in what they can do for us.

The question all this makes us ask: "Are we being used by our tools or are we actually using our tools?" The answer is fairly clear without being said.

As educators do we dare support these kinds of clubs? I think we must, for this shows the promise that students are capable of critically thinking for themselves.

https://www.thenation.com/podcast/archive/twsu-022526/

Beyond the AI Hype and AI Boosterism in Education: Teaching Students How Live with Technologies Instead of Being Passive Users

There is one important notion to include in digital literacy and efforts to teach students responsibility with new technologies? 

Not how to be consumers of that technology, but how to critically examine it and the consequences of its use. To know what it does to the environment; what it possibly does to people, the economy, and possibly the mind

That flies in the face of the AI Hype and AI boosterism, which wants to jump right in and have students become users.  Full speed ahead and damn the torpedoes! to use an old cliche.

Historically, the use of all new technologies has consequences. Have we not learned anything from our uncritical act of shoving screens in front of students and pushing their engagement with social media platforms? Now, after the damage, we are now learning that there are consequences.

In his book, "Nexus: A Brief History of Information Networks from the Stone Age to AI," Yuval Noah Harari writes:

"Unfortunately, a closer look at history reveals that the Luddites were not entirely wrong and that we actually have very good reasons to fear powerful new technologies. Even if in the end the positives of these technologies outweigh their negatives, getting to that happy ending usually involves a lot of trials and tribulations. Novel technology often leads to historical disasters, not because the technology is inherently bad, but BECAUSE IT TAKES TIME FOR HUMANS TO LEARN HOW TO USE IT WISELY."

And we have AI educational boosters and consultants declaring that the happy ending has been reached: "AI is transforming education" they say. It is a "gamechanger."

But correct me if I am wrong, generative AI and LLMs have only been widely available for what, four years, if one is generous? How can technology be declared a success when it has only been around such a short time? I even heard one AI booster use the words “longitudinal study” in justification for AI. How in the world can one claim a “longitudinal” study has been done in less than four years? 

The problem with all this AI boosterism from companies and consultants is that they are not in it for the long term. They want to make their money and careers and get out, or move on to the next new thing. And we are to trust these people with an eye only on the short term with entire lives of students? 

Sadly, digital literacy is often not about teaching students how to be discerning and critical users of technology; instead, its about the simple manufacture of users for the benefit of industry. Who cares what the long term impacts on the lives of students? Get them using it now, is the thinking.

The aspect that is often missing in all digital literacy efforts is clear. If you are going to teach students to be "literate" about technologies, then you need to wholly equip them, not turn them into passive users and consumers. Teach them ALL about the technologies and let them make the choices. 

The success of a technology is not dependent on some inherent “inevitability” or even the fact that “everybody uses it.” The success of living, as users of technologies, is based entirely on thoughtful, discerning, and critical use of all tools.

Education has no business being in the AI booster business, nor do educational leaders have any responsibilities for making sure such technologies are successful. 

Educators need to regain the long-term view of educating children they once had, beyond the current fads of whatever technology or device is being hyped today.

Educational Leaders Need to Learn Locally First, There's No Consultant and App for That

Wait! Before you spend that money on an educational consultant or “expert” consider these thoughts first.

Wendell Berry, essayist, novelist, poet, and farmer, once wrote about a problem he experienced on his property. He had wooded hillside where he wanted to pasture livestock, but there was no water source available.

He consulted an expert, then set about clearing land of trees and grading it to create a small pond on a “narrow bench.” It successfully filled with water and seemed to resolve the problem.

That fall and winter, it was extremely wet, so the hillside collapsed into the pond, completely filling it. In spite of the expert advice, he was back to square one. He says:

“The trouble was the familiar one: too much power, too little knowledge. The fault was mine.”

In other words, he did not know enough about the local, and just acted, and the result was his fault alone.

He said he got “expert” advice at the project’s outset, but he forgot something he already knew to be true:

“No expert knows everything about every place, not even everything about any place. If one’s knowledge of one’s whereabouts is insufficient, if one’s judgment is unsound, then expert advice is of little use.”

Berry hits on some very important points that educators and school leaders often forget: Experts and consultants do not know everything about your school or district no matter how many “success stories” they tell or “testimonial tales of salvation” they offer. They lack complete contextual knowledge.

They do not know your schools, your classrooms, your students, your communities, your parents, and not all of these are the same. Schools are complex places, and an “expert” or consultant bearing a formulaic solution will not always provide a solution to the problems you face.

You have no choice but work hard and get know everything locally, and that takes effort and time, sometimes months and years. And you have to be willing to learn and listen instead of acting like a physician and prescribing medicine about an illness that looks like something seen elsewhere, but is really a unique, local problem.

Once you know locally, you can then make sounder judgments regarding solutions. There is no expert that is going to be able to provide instantly successful solutions so set aside the marketing and sales hype from the thunderous consultant crowd, and listen and learn locally perpetually.

This is the hard work of education; no shortcuts allowed.

Learn locally first as much as possible before calling in the experts, and once you have called them in, know your schools, your districts, your people and your community. Then you will have the knowledge to make sound judgments about solutions and their “expert” advice.

Before Signing That New Technology Contract, Be Sure to Consider Technical Debt: It's Always There and the Salesperson Isn't Going to Tell You About It

I recently heard the term “technical debt” used in a conversation about the use of AI in software coding. It refers to “the future costs associated with relying on shortcuts or suboptimal decisions made during software development.” 

I suggest that educators and educational leaders experience a kind of “technical debt” when they adopt technologies in their classrooms and schools, and that these debts are not always considered, especially in the glitter and glow of devices that are being marketed to them. 

These educators and educational leaders can’t envision the future costs of these technologies because they suffer from the eyeglaze that accompanies these devices.

But technical debt is a real future cost when selecting ANY NEW TECHNOLOGY and educational AI solutions are no different.

What’s particularly frightening with AI, it is so novel that all of these technical debts are not known yet.

In other words, schools don’t really know how the adoption of these technologies will impact future budgets if it is to be maintained. This is especially true since companies like OpenAI and Anthropic have not yet figured out how to profit from their products. This alone, makes all future costs of GenAI to schools unknown.

School leaders would do well to be aware that any adoption of a technology on offer from an Ed Tech company as well as any other tech solutions comes with these Technical debts.

This means being vigilant and skeptical and asking questions about possible technical debt is important, even if it is currently unforeseen. 

For example, asking about the profitability of a company can be important as is the current health of that company. Will this company be around 5 years, 10 years? 

Educators need technical solutions that are not going to saddle them with technical debts that will consumer even more of the already scarce budgets. 

A complete investigation into the solution and the company offering it is vital, otherwise, schools and school districts will find themselves saddled with technical debts impossible to resolve.

Is It Me, Or Are Some AI Advocates and Trainers Sounding Like Revival Preachers? Its a Tool Not the Foundation for a Ed Tech Religion!

Has anyone else noticed how the educational AI promotional movement has become like a religious revival movement? And, that it is being heavily promoted by those like AI companies, Ed Tech consultants, and even educators who stand to gain billions of dollars and professional recognition because of it?

I recently saw a LinkedIn post, “the official AI Promo Echo Chamber,” where an ISTE AI trainer and consultant actually boasted like he was in a old time tent revival meeting: “I have set out to train EVERY K-12 TEACHER AND COLLEGE FACULTY MEMBER IN THE COUNTRY ON USING AI TO TRANSFORM TEACHING AND LEARNING.”

Pardon my thoughts here, but that sounds like a “fanatic on a mission” not some individual who is thoughtful and measured about AI and its uses. His mission is not to thoughtfully explore the possibilities of AI; it appears his mission is to ram down the throats of educators everywhere his beliefs in the transformative powers of AI technology.

We’ve been here before where Ed Tech advocates boasted about the so-called “transformative power” of technologies, but usually the only thing that gets transformed are the wallets of those selling and consulting for these technologies and the slim budgets of schools scrambling for ways to pay for them.

This ISTE AI trainer and promotional evangelist also boasted about “standing on the stage at Google’s headquarters” training the first cohort of new converts. I can’t even begin to suggest how nefarious this is, for you have a Big Tech company poised to siphon billions more from K-12 to college education than they have already done with their Google Apps and Chromebooks. At the heart, this seems like an AI fundamentalist, evangelistic effort. That is the Ed Tech way in the 21st century.

The problem with AI efforts in education right now is that it is being promoted as “transformative” when Generative AI in its currrent form has only been around for around 4 years. It hasn’t been around long enough to even determine what its long-term consequences might be much less transform anything.

The AI implementation efforts right now, which is clear from the ISTE AI revivalist preacher, is not a thoughtful, careful, and critical examination of AI as a tool; it is “a gospel of salvation wrought through the technological marvels of artificial intelligence.”

These evangelists aren’t interested in training criticial users. Instead, they seem to want to convert the entire educational establishment on behalf of AI companies who are bankrolling the entire movement.

These AI movements have the slight flavor of totalitarian, fundamentalist movements, and “AI zealots” are set out to convert the masses on its saving possibilities even before there is any established research.

And what’s worse, they are engaging in misformation like the notion that AI has been around for years, as stated by one AI promoter, which is not entirely the truth. AI has been around at the edges of our applications, but generative AI is only a more recent development. Those preaching for conversion even sometimes use half truths and even false statements all in the service of gaining converts.

It’s time for educators everywhere to be thoughtful and critical of those who are leading this AI movement. Instead of allowing them to make boasts about the “transformative” possibilities of their favorite technology, its time to question them. During their “training” sessions, when they make claims, ask them to support those claims. Question their evidence. You might even question their affiliations with tech companies and organizations and their sponsors. That certainly can explain their presence.

When a movement like this gains some religious flavors, concerned educators should be skeptical. They should question everything. They should be concerned about what this technology might do to students and even our society years down the road. Most of all, they need to call out this inevitability narrative. 

After all, as historian Yuval Noah Harari writes in his book Nexus: A Brief History of Information Networks from the Stone Age to AI: “Technology only creates new opportunities; it is up to us to decide which ones to pursue.” 

It is up to us, all educators, parents, school leaders to decide on which AI opportunities we should pursue. We should not leave that choice to those like Google and their paid consultants and revivialist preachers to make that decision for us.

An Important Component of AI Literacy and Digital Literacy: Teaching Students to Be Critical Users and Not Just How to Work With Technology

Are you educating students to use AI or are you educating students to work with AI? How you approach AI and all technology with your students in the classroom matters.

Educating students to use AI places the technology in “tool” or “utilitarian” status. The tool is subordinate to the user. The user is in control. She decides when, where, why, and how to use the technology. The user controls the technology entirely.

In opposition, educating students to “work with AI” places the technology in equal or dominate status. It is not placed in tool status at all. Instead, the technology enjoys the status of  co-worker and sometimes even supervisor or manager. The student is placed in a partnership relationship or an subordinate relationship to the technology. The student does not have full control of the when, where, why, and how of the technology’s use. He must accept the presence of the technology as an inevitable part of life and even possibly submit to its decision-making and direction. (Is it any wonder why Big Tech wants us to teach this relationship?)

When Ed Tech uses the phrase “Educate students to use AI” or “Educate students to work with AI” it defines the students’ relationships to the technology, so deliberate thought is needed in the way the technology can be empowering to the student, or it can enslave the student. Educators must be deliberate and vigilant in their approaches.

We should be educating students to be potential and critical users of AI, with special emphasis on the critical. We should never teach students to be co-workers or submissive to the technology. Students should be taught that AI and technology has political and other consequences when it is used, not passive acceptance of its use. There are times when AI should not be used, and that should be part of the instruction.

If we want students to be free users of AI we should place students in total control of the technology, not teach them to be passive, submissive users, and this is done by educating them to be critical users not simply users.

Screen Time Bans and Limits Are Really A Search for a Healthy Relationship to Technology

Those who are asking for screen-time limits are people who seek to relieve children from what writer Paul Kingsnorth calls "the eye-glaze of screen burn."

It is a quest for a healthy relationship to technology instead of the almost worshipful stance currently held by so many in Ed Tech.

A healthy relationship to technology is one where all the world, digital to analog, is in the toolbox.

A healthy relationship to technology is not an endless quest to elevate it to the "go-to solution."

A health relationship to technology is the recognition and acknowledgment that even though technology might be used, sometimes it does not have to be nor should it.

A healthy relationship to technology is valuing the human over the Machine always.

Finally, a healthy relationship to technology is one where devices are not a constant intrusion and distraction; they are simply a toaster sitting in the background and used when needed  and not a device constantly beeping like a little child, demanding our attention.

Screen time limits and bans have arisen because of the excesses of a Ed Tech discipline and industry agenda that so desperately wants devices on every desk, in every hand and used during every lesson.

It is time to remove the glitter, gleam and dazzle from devices and treat them as we have microwaves, clocks, watches and power saws: as simply tools.

A New EdTech Definition of a Chatbot

 Definition of a Chatbot:

A cheap way for a company to pretend to care for their customers without really caring at all.

Can also be utilized to replace human tutors when humans are too cheap to pay a real person who cares to tutor.

Also, still another way for EdTech companies to squeeze even more money out of already scarce education budgets.

The Arrogance of Silicon Valley and Big Tech Is Harming Us All

I had my Google Search set up to avoid using the "AI Overview" and after the browser updated it eliminated that option.

This is clearly how Big Tech and Silicon Valley are going to make "AI Inevitable." 

They are going to force it down users' throats.

The AI Overview in Google can't be trusted to be correct and it does not provide access to the sources it uses.

For now, I will simply switch my default search to another search engine.

We are now in an era when Silicon Valley CEOs and Tech Companies think they know better than we do what we want in our tech products. 

Tech companies want to dictate our products. A consumer backlash is starting, and it will be more powerful that simple "Boos at Graduations" too.

When AI Is Said to Be "Here to Stay" It is Perfectly Right to Question the Fictional Narrative

 “AI is here and not going away,” is repeated by every Ed Tech and AI consultant as if it were gospel when speaking about AI’s inevitability. But is it?

That statement is a prediction and not a fact. It can’t be proven. Those who present it as fact have no evidence to point to. They might point to some data that says many students or teachers are using it now, but present use is not evidence of future use, not can it be. To say that “all students are using it” or even “many teachers are using it” is already false, because that is most certainly not possible.

This “prediction” is actually an convenient fiction employed by individuals who have a selfish interest in making it true. Their status, both financial and professional is dependent upon it.

The purpose of this inevitability fictional narrative is to immediately disarm any objections and criticism that an educator, parent, student and educational leader might have about AI and its claimed promises. AI consultants and marketers want to immediately remove any room for criticism, so they use inevitability fiction to counter any criticism.

The second purpose of this “inevitability story” is to absolve their own conscience of any moral questions about its use. Afterall, if it is inevitable, you can’t do anything about it, so accept it. This is the power play here. If an educator has concerns or objections about its use, these are placed out of bounds by the fictional story of inevitability. Just use it!

This inevitability story also absolves AI peddlers’ conscience of any ethical and morality questions about AI. For example, the fact that AI was developed from the theft and use of copyrighted works is ignored. The fact that the infrastructure needed to operate AI is consuming mass amounts of scarce resources and competing with individuals for those resources is dismissed by this inevitability fiction. The fact that AI companies exploited labor in foreign countries badly in training their language models is immediately dismissed.

Every time an educational technologist or AI consultant makes the inevitability tactical move, it immediately needs to be called out for its fictionality. At conferences, during PD, and in writing, thoughtful educators and school leaders need to immediately question these statements and ask for proof, along with proof of any other broad sweeping fictional statements about AI. When a claim is made about AI, ask for proof, and don’t accept as proof a study done by a company or organization that has a self-interest in making AI successful.

AI Detectors Are as Morally Wrong as the Cheating Done by Students Who Submit AI-Generated Work as Their Own

For me, using AI detectors to determine whether a student forged an assignment using Generative AI tools is morally wrong. 

I agree with Carissa Veliz, who writes in her book “Prophecy: Prediction, Power, and the Fight for the Future, from Ancient Oracles to AI”:

“A predictive approach to ethics is likewise inadequate for matters of justice, inside and outside the courtroom. In criminal contexts, merely statistical evidence isn’t enough.”

Because AI detectors use statistics and probability to predict whether a student’s work is AI generated or not, it alone should never be used as the sole evidence for making the determination on whether the student cheated and turned in AI work as their own. This probability of having AI generated material has room for error, and when it comes to dispensing justice, it is inadequate for me. I would not use it alone for detecting whether a student engaged in this unethical behavior. 

In some ways it would seem to me to be akin to the lie detector, which attempts to detect patterns of truthfulness and untruthfulness but can’t tell you whether a person is being deceptive about a specific instance.

Do we then just accept the student’s work as is? Unless we can find some causal evidence, not probable evidence, I think we have little choice, but we can devise ways to ask the student to defend their work and ensure they have invested their experience fully in the learning.

Still, to me the greater problem is that the student chose to cheat to begin with. It is a moral and a trust issue. It is a symptom of a character concern in that student that they would resort to such action, and from a societal standpoint, that should be of equal concern, that a student would choose that course of action to begin with.

What seems like a better course of action rather than simply accusing the student of cheating based on a technology, would be to devise a way that the student must defend their work, without assistance. 

For example, it could be a panel of teachers asking questions designed to ensure that the student was knowledgeable about their work. Criteria could be determined ahead of time that outlines what a successful defense of the work looks like, and the final assessment on the student’s work would be based on that alone.

Ultimately though, we still should acknowledge the moral problem underlying this, which is the same problem that has been beneath cheating since students have been subjected to instruction, which is that a student would deceptively choose to cheat to begin with. AI cheating is in some ways just another high tech cheating tactic.

The solution in this case, is not more technology, though educators, being the tech-solutionists they are, always seem to turn to tech for answers. 

Tech companies love it, because they can sell us a tech that causes a problem, then turn around and sell us another technology to solve that problem, and then another tech to solve that tech’s problem and so on. 

AI detectors are not the answer.

Instead, the answer lies in working toward the goal of helping students become ethically averse to cheating to begin with through moral instruction and character development, educating them to be better than that.

Also, the answer lies in making sure the teaching and learning experience requires the student to demonstrate their learning in ways that can’t be fabricated through AI. This is not a technology problem, but an old educational problem of, “How do I ensure that students have learned?”

It's the Teacher That Matters Most in Teaching and Learning, Not Screens, Not AI...That's The Lesson Needed for School Leaders in All These Screen Ban Efforts

How can I transform teaching and learning to accommodate or integrate AI? THAT is the WRONG question.

The correct question is, if it follows that AI is actually another tool to be used in education should be: How can AI (or any tool) help teachers engage in better teaching and students engage in better learning?

The history of Ed Tech says we asked the wrong questions when the PC, Web 2.0., and social media came along. Then, we asked how can I use these tools to transform and revolutionize, rather than how can these tools be used to facilitate? To equip?

Perhaps that's why Ed Tech and the technology cheerleaders are desperately trying to defend all the technologies it has introduced in education. 

Educators are susceptible to the “glimmer of gadgets” and have been for some time. Instead of asking the facilitating question, they sometimes look to the technologies for salvation, and the result is the present. Now, with little evidence to support a dramatic revolution in teaching and learning, important critical questions are being asked about the rightful place of technologies—screens if you want to call them—in the classroom.

We know how students learn and we have a repetoire of teaching methods at our disposal, and much of the research shows that what makes learning happen is WHAT A GOOD TEACHER DOES WITH THE STUDENTS DURING THE TIME THEY ARE IN HER/HIS CLASSROOM. It is really that simple. 

Yet, instead of looking to the one single individual who has the potential impact on learning the most, we get tangled in our devices, or fanciful technologies if you will, and we forget the teacher. 

I remember the minor debate in my schooling as a student when calculators appeared, (Yes I am that old.), but I don’t recall the raging enthusiasm to transform teaching and learning through the magical powers of the Texas Instrument calculator. It was seen as simply a machine, not a mechanistic path to save education, and we used it when it was useful and did not use it when our teachers determined that it was not useful and an obstacle to what they were teaching and what we were learning.

AI, if it is simply a tool, then let’s kick the pedestal out from under it,  toss out all the hype, and lets just see if it really can help teachers teach and students learn. That has yet to be truly determined, in spite of the mad search for evidence to justify AI existence in the classroom rather than trying to see if teaching and learning improve.

And that is another issue as well, for the AI enthusiasts want their new shiny device so badly to be the salvation in the classroom, that they won’t give it time to demonstrate whether it will be useful or not. 

Generative AI has not been around for more than a few years, and every opportunist under the sun is peddling it as the answer for all our problems, especially those in education. And, if anyone expresses concerns over its issues and problems, they are bombarded with promotional hype and labels of being a Luddite.

If I were to provide some experiential advice to all educators and especially educational leaders, stop listening to the AI cheerleading, and let’s settle down and see if this new technology offers teachers anything to enhance their teaching and students anything to enhance their learning.

Stop looking to technology to transform education. Stop looking for an invention that will somehow make learning happen. We know already what will make learning happen, and that is a well-trained, experienced teacher in the classroom equipped not with the fads of the day, but with she or he says they need to educate students.

Ultimately, let’s remember this: It’s the teacher stupid, that ultimately matters, not the gadgets!

When Tech CEOs Make Predictions About AI, Remember They Are Trying to Dictate the Acceptance of Their Product

When a CEO predicts that AI will replace you, or that everyone will use AI, they are trying to get you to passively accept their future vision.

“Predictions about human beings attempt to change the future by altering what people believe and how they behave, which is why they are veiled imperatives or orders.” Philosopher Carissa Veliz “Prophecy”

Our Tech CEOs know this. They are trying to alter what people believe about AI and alter how people behave towards their product that they stand to make billions.

They want acquiescence to their vision, so their prediction is really a “veiled imperative or order.” “You will accept and adapt to my technology. It is inevitable,” is their meaning.

As Veliz points out, “When the CEO of a tech company says, ‘In the future, everyone will use AI,” he is trying to bend reality to that vision; in a way, he is saying something like ‘Go forth and get your AI before you fall behind! Go forth and fulfill my vision!”

They are dictating the future they wish to see.

Common sense says that we recognize what they are doing and force them to provide AI on our terms. 

#AI #EdTech #AIinEducation #SchoolLeadership #Leadership

Predictions About AI and the Future of Our Students Limit Their Futures and Should Be Questioned

One horrible consequence of all the AI predictions about the future jobs of students is that such predictions are anti-democratic. 

Predictions, when followed as fact, become self-fulfilling prophecies, and that’s what these CEOs from AI companies want, and they know it. Those who have the most interest in its widespread use also know this.

But the reality is, when you make a prediction that “you are preparing students for jobs that don’t yet exist,” you taking a shot in the dark, for no one knows that future. Instead of playing a game of job training whack-a-mole, educators should perhaps not prepare students for any jobs, since companies constantly outsource, relocate work to other countries, as well as automate.

Instead, educators should be preparing students for a world of total uncertainty, because that is one sure thing about the future. We shouldn’t be so arrogant as to think we can foresee where they will be and the jobs they will have. Prepare them for a world of uncertainty.

Carissa Veliz, in her book “Prophecy” makes this point about prediction:

“When predictions determine our fate, WE LOSE FREEDOM. DEMOCRACY NEEDS UNCERTAINTY TO THRIVE. It’s only when we don’t know the outcome of a future election that we have democracy.”

By simply giving credence to these predictions about AI and all technologies, the freedom of students is stolen, and that should never happen.

All predictions about AI should be viewed with skepticism, especially from those who have an interest in their acceptance.   Educators and school leaders have an obligation to prepare students, but not one based on these predictions.

Educate Students for Life and Just Ignore Those Who Make Predictions About the Future Job Statuses of Students

“We must prepare students for jobs that don’t exist yet,” says the AI consultant-enthusiast.

“No we don’t,” is the sanest of all replies.

As educators with common sense, what we need to do is ignore these AI consultants and Ed Tech prognosticators completely.

They have no crystal ball and can’t see into the future any better than anyone else.

Predictions are guesses. Predictions are NOT facts. Especially facts to be acted upon or to base life-impacting decisions on what we do with our students.

As philosopher Carissa Veliz writes: “An assertion about the future can be many things—an estimate, a desire, a warning—but never a fact.”

So, educators and school leaders can ignore and discard these baseless predictions about some future notion of what the job status of their students will be.

Their predictions are not substantive enough on which to base decisions about anybody’s life. To do so is severe malpractice.

And, the next time Bill Gates, Sam Altman or Jensen Huang spouts some prophecy? Take it for what it is: a prediction no better than that of a soothsayer predicting based upon his view of a pig’s entrails. They are just hyping for business.

Instead, you are an educator and smart enough to figure out AI for yourself and what place it should have in your teaching. You have to consider the long-term view when it comes to students’ lives, and AI may or may not be a part of that. Only the future knows.

Beware of the Soothesayers of Silicon Valley Who Use Algorithmic Entrails and Tea Leaves to Tell Us Our Future Lies with AI or Any Other of Their Inventions

 “Today’s ruling soothesayers are no longer astrologers, astronomers, sociologists, or even economists; they are computer scientists, data analysts, and engineers. Algorithms are the new tea leaves, animal entrails, and stars through which we hope to catch a glimpse of the future.”

from the book “Prophecy: Prediction, Power, and the Fight for the Future, from Ancient Oracles to AI by Carissa Veliz

I just have a picture in my mind of the Bill Gateses, Sam Altmans, and Jensen Huangs, bent over algorithmic entrails, and the entire world sitting on the edge of their seats, waiting for the  these “infallible tech CEOs” to declare for us our future.

Our Soothesayers of Silicon Valley and their algorithmic tea leaves and algoritmic entrails continue each day to make self-serving and profit generating predictions for themselves.

I think we need to remember that predictions are not facts, whether you are using algorithms or pig intestines.

Educators need to be skeptical and take all that these Soothesaying CEOs and business leaders say with a grain of salt.

AI Is Not an IT Problem? It's a Leadership Problem? What Nonsense...School Leaders Need to Be More Critical of AI Consultant Claims

Recently I saw a post where an AI consultant said that "AI is not an IT problem, it's a leadership problem." What nonsense!

So now, they are going to blame the leaders of school districts for a Silicon Valley creation that:

1) steals the copyrighted work of other authors to use in their training models,  

2) in their LLM training they exploited low-wage workers in poverty-stricken parts of the world, 

3) this product can create facsimile products that can pose as the work of creators to steal their livelihoods, 

4) data centers for these products require massive amounts of power and water, often strapping the communities who have these deceptively forced upon with resource shortages, 

5) these data centers are also having noise pollution issues in the communities where they are being placed. 

6) there is growing concern about cognitive outsourcing for students and the consequences of that in children's futures.

7) Who knows what consequences that are yet to come...

So this AI consultant says, no, there's nothing wrong with AI, and that the problem is with school leaders.

The real problems with AI consultants and opportunists who are ignore the problems with this technology and already declare it as the savior of education, all for what has to be self-interest.

Added to this problem are school leaders believe such nonsense and hire these companies and consultants simply because AI has been mystified to the point that they think they can't possibly understand it. They are wrong. AI is not difficult to understand.

Isn't interesting that no matter the technology, it is flawless and causes no problems? It's always the educators, the leadership, the parents...or whatever the AI consultant can shift the blame to. It's standard sales tactics when you do not want someone to really look at the problems with a technology.

Good, solid leadership sees through all of these AI consultant sales pitches and cheerleading and acts accordingly. Be critical of all the AI Promo Rhetoric!

How to Sell Your Tech Product and Tech Consulting Business No Matter What with the Silicon Valley Marketing Strategy

Want to sell any technology to everyone and ensure its total acceptance? Here’s how:

If I invented a product that had all kinds of potential dangers and harms but still wanted to make a bundle off that product, I would do the following:

-Convince everyone that my product is here, it's inevitable, and that they might as well use it.

-Convince everyone that failure to use my product means you are behind-the-times and irrelevant.

-Convince everyone that my product was just like a previously non-harmful product like a calculator, and that it was "only a tool." You can always blame the users for harms too.

-Convince anyone that any attempts to regulate my product will stifle innovation and just allow the Chinese to beat us.

-Utilize the Ed Tech and educators to make all the children of the world into proper consumers of my product.

-Buy a political establishment that will protect my enterprise at all costs—environment and health of the people be damned. Especially buy out local governments where I need to put my massive data centers.

-Tell wild fantasies about how my product has the potential to rule the world.

-Make my product as addictive as possible, and keep individuals using it for everything. Even invent uses and convince people to use it even if it is not actually more useful of effective. Goal is to keep users in the product.

That is a blueprint for ensuring product success no matter what harms and unforeseen consequences it might have. That’s the Silicon Valley marketing plan.

AI Boo's at Graduations Might Be Called For When School Leaders Callously Allow AI Cheerleaders and CEOs Sell Their Products at Commencement Ceremonies

Boos might be called for from graduates when commencement speakers who stand to gain bundles of money from it’s adoption are invited by school leaders as speakers.

Graduations aren’t about their pet products and time for their marketing pitches; graduations should be about the graduates and their families.

Colleges and universities that get commencement speakers who sell their products should be ashamed and booed too.

School leaders should be skeptical of asking AI cheerleaders to speak at graduations. After all, we don’t allow Samsung to sell TVs are graduations.

ChatGPT: Not a Tool, But a Novelty In Search of a Legitimate Use

I am increasingly seeing the ChatGPT creations where a user asks it to generate a drawing or illustrated map of themselves with drawings indicating who they are, based on the "conversations they have been having with the chatbot."

Don't get me wrong, can anything good come from that?

I hope the "conversations" these users have been having with that chatbot has not been too intimate. Silicon Valley has a notorious reputation with what they do with individual personal data. 

Then there's the idea as to why I should care what ChatGPT has to say about me, though I will confess I am not a user, nor will I ever be. But, what credibility does a chatbot have other than what we decide to give it? It's like a bit tech "soothesayer" or horoscope with about the same level of truthfulness.

It's a machine, and it just spitting back to you what you have inputed, and some cases manufacturing that information in order to please the user. Really, it is just a more complex version of Joseph Weizenbaums' chatbot Eliza.

People are searching for ways to use GenAI, in order to give it legitimacy. They want so bad to find some usefulness for it, because it's so neat!

True tools are not like that. They are created to solve a problem, not a solution in search of a problem to solve.

School Leaders Need to Become Data Misers: Make Ed Tech Vendors Justify Every Single Bit of Data They Say They Need

 It is time for schools and school districts to get miserly with their students’ and staffs’ data. 

Don’t share it, ever, with Ed Tech companies and vendors.

If they ask for data, make them justify every single data-point requested and then evaluate their justification. 

If you deem their need for the data as unnecessary, tell them they can’t have it and need to work around it. Period.

If they say their product will not work without that data, tell them to redesign it so that they won’t need it.

School leaders need to be the ones in control of their students’ and staffs’ data, period.

Become a data miser when you work with any companies. 

Bookstore CEO Open to Selling AI-Authored Books: This Reader Not Interested

Recently, Barnes and Noble bookstore CEO says he would sell AI authored books as long as they are transparently labeled as such and if the customer demand is there. (Why CEO of Barnes and Noble Would Support Selling AI-Written Books in Stores)

That makes sense I suppose for a business. The success of AI books in this case will depend on demand. If readers value author-less books, then they can get them. Set aside my own question of why in the world would anyone want to read a book written by a machine.

I think the important thing is the disclosure and transparency regarding authorship. Personally, I am not interested in AI authored books. Part of me just can't get beyond the fact that such work would not be based on the living being's own experience of being human; it would be an assemblage of the experiences of many others and their writings. 

The greater question is whether such AI authored works, such as a novel or book of essays would sell. My purchases are usually tied to authorial reasons. For example, I choose to read a book by historian Lewis Mumford because I enjoy his work, due to the knowledge that he wrote it, it has his style, his ideas, etc.

What for me that is a deal-breaker would be works that are AI authored impersonated works. For example, I would not be interested in a work generated by AI in Lewis Mumford’s style. That to me would require the knowledge that this was not a work that the historian penned himself.

As an avid reader, the notion that bookstores have authorial “knock-offs” on their shelves would not be a place I would frequent. 

The Proper Role of Ed Tech and Educational Leaders in the AI Push into Schools

 “We as educators need to educate our students about AI,” is how Ed Tech’s latest pitch goes regarding their new project. Let’s look at what is really involved in that project.

Paul Kingnorth writes in his 2025 thought-provoking book “Against the Machine: On the Unmaking of Humanity”:

“…we need to understand the consequences of the Machine we have built, and which is now rebuilding us so that we may become more perfect consumers, shopping for individual fulfillment in its global marketplace of goods, ideas, and identities.”

The Ed Tech calls for “AI Literacy” are part of the “Machine” project that Kingsnorth describes here, the project of “rebuilding us so that we may become more perfect consumers” of AI, Silicon Valley’s latest money-maker. Big Tech, as it did with the internet, Web 2.0, social media, has once again activated our Ed Tech establishment in schools to take on the task of transforming students and teachers into proper consumers of their latest cash cow, AI.

Part of this project of Big Tech has been to short-circuit any critical thought about AI as they have made it, about its moral and ethical uses, and even whether we should accept it as presented. They did this through their “inevitability” myth, and their “everybody-is-using-it” myth, both of which are not true and does not have to be true.

They have used these myths effectively in the past, and educational technology has been acting and is currently acting as the proselytizers of Silicon Valley since it beginnings as a disciplinary field. It is a discipline that exists to carry out Big Tech’s latest proclamations, and their latest is to get all of education—students, teachers, parents—to acquiesce without protest, to being blind, perfect consumers of AI.

Educators have no business acting in this role. If anything, they should be fostering critical-thinking individualists who decide for themselves the role, if any, AI will play in their own lives and use. These students can also decide for themselves whether acceptance or resistance is called for. The next generation can demand that AI serve humanity, not those who stand to profit the most from its success.

Reflecting back on thirty-plus years in education and my own role in Ed Tech, I have seen how educators become implicated in this whole project of consumer generation. Now, we see how this blind promotion of technology has not really transformed anything for the good.

Past history tells us, that this AI consumer project will not end well in its present form either, without ensuring that our students, teachers, and parents are able to think for themselves critically about the place and form of this technology in their lives. 

We do not have to let Silicon Valley and Ed Tech decide for us.