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.

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.

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.

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.

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.

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.

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.