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01 / 05
AI in the Classroom Can Make Higher Education Much More Accessible

Blog Post | Science & Education

AI in the Classroom Can Make Higher Education Much More Accessible

For some school subjects, artificial intelligence can transform the landscape of tutoring accessibility.

Summary: ChatGPT4 has demonstrated superiority in various student exams, revealing its potential to support academic learning and improve educational outcomes, particularly in test preparation. With its accessibility and affordability compared to traditional tutoring services, AI tutoring can help address the increasing demand for academic support, especially as universities begin to reinstate standardized testing requirements.


In 2023, OpenAI shook the foundation of the education system by releasing ChatGPT4. The previous model of ChatGPT had already disrupted classrooms K–12 and beyond by offering a free academic tool capable of writing essays and answering exam questions. Teachers struggled with the idea that widely accessible artificial intelligence (AI) technology could meet the demands of most traditional classroom work and academic skills. GPT3.5 was far from perfect, though, and lacked creativity, nuance, and reliability. However, reports showed that GPT4 could score better than 90 percent of participants on the bar exam, LSAT, SAT reading and writing and math, and several Advanced Placement (AP) exams. This showed a significant improvement from GPT3.5, which struggled to score as well as 50 percent of participants.

This marked a major shift in the role of AI, from it being an easy way out of busy work to a tool that could improve your chances of getting into college. The US Department of Education published a report noting several areas where AI could support teacher instruction and student learning. Among the top examples was intelligent tutoring systems. Early models of these systems showed that an AI tutor could not only recognize when a student was right or wrong in a mathematical problem but also identify the steps a student took and guide them through an explanation of the process.

The role of tutoring in education has grown in significance as more and more high school students have gone to college. Private tutoring is now a booming industry. Often you can find tutors charging anywhere up to $80 for test preparation with no shortage of eager parents willing to pay for their services. Tutoring has been a go-to solution for students to improve their grades outside the classroom. But more importantly, it has been a solution to improve their chances of getting into college, with many private tutoring services focusing on AP and SAT exams. This connection between college admission success and private tutoring costs has been a problem for parents who cannot afford the costs.

ChatGPT4 is available for $20 a month. Although the program itself can be used to answer questions and provide academic support, dedicated education websites have begun incorporating AI tutors to help with test prep. Khan Academy provides free courses on AP content and SAT exams and offers an AI-powered tutor for these subjects at $4 a month. Duolingo, a popular language learning app that offers university-recognized language exams, offers Duolingo Max at $14 a month. These tutoring services are accessible at your fingertips at any time. There is no need to schedule video conferencing calls, do background checks on tutors, or pay extra costs. Quality individualized academic support is available at a moment’s notice.

The availability of AI tutoring services is occurring at a crucial moment in education. As students become accustomed to post-pandemic life, student achievement across the nation still has not returned to where it once was. Despite that, many universities have begun reversing test-optional policies that had allowed students to avoid taking standardized tests such as the SAT. The demand for tutoring has skyrocketed as many new high school seniors struggle to meet the old standards of college admissions. Many school tutoring programs have not been able to provide the support students need, and private tutoring costs are only increasing.

AI has the potential to provide cheap and effective tutoring for these exams while being easily accessible. A Harvard computer science course has been able to incorporate ChatGPT to great success, using it to provide continuous and customized technical support and allowing professors to focus more on pedagogy. As technology improves, students will have more support for academic pursuits, opening an easier path to higher education but also allowing students to more easily explore academic interests beyond rigid classroom instruction.

Blog Post | Adoption of Technology

Why Steve Wozniak Dismissed PCs and Steve Jobs Didn’t

In March 1976 Apple Co-Founder Steve Wozniak presented a circuit board design for a home PC at the now legendary “Homebrew Computer Club” – a meeting of early personal computing pioneers.

In attendance was a young Steve Jobs who – so struck by the projects potential – convinced Wozniak to keep the designs private and co-found Apple to commercialize them. The rest was history.

Often forgotten in this Silicon Valley legend was the doubt one of the Steve’s (Steve Wozniak) cast on the very idea of personal computing, just as the companies magnum opus – the Macintosh – had been released to the world.

In a 1985 interview Wozniak posited: “The home computer may be going the way of video games, which are a dying fad” – alluding to the 1983 crash in the video game market. Wozniak continued:

for most personal tasks, such as balancing a check book, consulting airline schedules, writing a modest number of letters, paper works just as well as a computer, and costs less.

Even in the realm of education Wozniak doubted the value of computers, saying that after leaving Apple and enrolling in college:

I spent all my time using the computer, not learning the subject I was supposed to learn. I was just as efficient when I used a typewriter.

He seemed well aware of the heretical nature of his statements, telling a reporter: “Nobody at Apple is going to like hearing this, but as a general device for everyone, computers have been oversold” and that “Steve Jobs is going to kill me when he hears that.”

Many of his critiques were not uncommon: the same year The New York Times ran a story titled “Home Computer is Out in the Cold” exploring the failed promise of computers becoming as ubiquitous as television and dishwashers in the home. In the piece Silicon Valley luminary Esther Dyson joked “What the world needs is a home computer that does windows” – she meant housework, not the operating system that would launch 8-months later.

Apple CEO John Sculley – who’d infamously force Steve Jobs out of his own company later that same year – would conclude:

A lot of myths about computers were exposed in 1984. One of them is that there is such a thing as the home computer market. It doesn’t exist. People use computers in the home, of course, but for education and running a small business. There are not uses in the home itself.

Another person quoted in the piece, Dan Bricklin – co-inventor of spreadsheet software (VisiCalc) – said ”What everyone is missing is that it has to be both convenient and cheap” — alluding to computer pioneer Alan Kay’s 1972 vision for “Dynabook” – an iPad like device connected to central databases (what we now call the internet). Bricklin would quip:

You are not going to go upstairs just to type in a quick query and get back an answer.

John Sculley would eventually concur with Bricklin and Alan Kay, in the proceeding years Apple would begin work on handheld connected computers, first via a group of Macintosh engineers that would spin off the company “General Magic.” Then via the “Newton” an early PDA and precursor to the iPhone.

General Magic/Sony Magic Link Credit: Josh Carter • Apple Newton Image Credit: Old-Computers.net • 1972 Dynabook Illustration, Alan Kay

It turns out even Steve Jobs agreed with broader assessments of the limited appeal of the PC market – but crucially – only in the micro. In a 1985 Playboy interview Jobs would admit the home PC market was: “more of a conceptual market than a real market.”

Credit: Playboy, 1985

However, Jobs insisted that something big was coming – alluding to a nascent “nationwide communications network” that would be “a truly remarkable breakthrough for most people, as big as the telephone” and make computers “essential in most homes.”

Playboy: What will change?

Steve Jobs: The most compelling reason for most people to buy a computer for the home will be to link it into a nationwide communications network. We’re just in the beginning stages of what will be a truly remarkable breakthrough for most people—as remarkable as the telephone.

Jobs was right. You’re using such a network right now on a personal computing device. It turned out people would be willing to “go upstairs just to type in a quick query and get back an answer” if the world’s knowledge was at their fingertips.

Macro Pessimism vs Macro Optimism

What separated the two Steve’s is Wozniak was a pessimist in the micro and the macro, while Jobs was staunchly optimistic in the macro, about the larger idea of personal computing and only doubted the mass appeal in the current form – much like Alan Kay, Dan Bricklin and eventually John Sculley.

The problem with macro optimism? It is speculative in nature, it is vague and sounds pie-in-the-sky (and much of it inevitably is) – on the other hand micro pessimism is specific and grounded in current reality. Steve Jobs would articulate this in response to Playboy probing if he was expecting people to act on pure faith when investing in a home PC:

Playboy: Then for now, aren’t you asking home-computer buyers to invest $3000 in what is essentially an act of faith?

Steve Jobs: …the hard part of what we’re up against now is that people ask you about specifics and you can’t tell them. A hundred years ago, if somebody had asked Alexander Graham Bell, “What are you going to be able to do with a telephone?” he wouldn’t have been able to tell him the ways the telephone would affect the world. He didn’t know that people would use the telephone to call up and find out what movies were playing that night or to order some groceries or call a relative on the other side of the globe.

Jobs would go on to cite the early days of the telegraph when short term optimists predicted a “telegraph on every desk” – overlooking the impracticality of learning morse code. He’d point out that personal telegraphy machines didn’t have mass consumer appeal, not because electronic messaging was unappealing to consumers but because its early form factor was unappealing.

His broader point: Being pessimistic about the mass consumer appeal of home based telecommunication in the form of telegraph machines was accurate – in the micro – however, applying that to telecommunication in the macro would have been a mistake because eventually the telephone, cellphones and texting would emerge. He’d posit that the recent advent of the graphical user interface via the Macintosh was a similar leap in usability and would similarly increase consumer demand.

Playboy wasn’t convinced:

Playboy: Is that really significant or is it simply a novelty? The Macintosh has been called “the world’s most expensive Etch A Sketch” by at least one critic.

Jobs: It’s as significant as the difference between the telephone and the telegraph.

Early iterations of breakthrough technologies are often extremely limited and it is easy to think those limits will persist, our previous dive into early reactions of the Wright Brothers Flier is a good example (we called it “beta bias”).

Extrapolating something like the jumbo jet in response to critiques of the Flier would have sounded polly-annish to critics of that early implementation of manned flight. As would prognosticating image based user interfaces at the advent of command line computers, or an information network at the advent of user interfaces as jobs did in Playboy. When asked to elaborate on that particular prediction Jobs would say:

I can only begin to speculate. We see that a lot in our industry: You don’t know exactly what’s going to result, but you know it’s something very big and very good.

What he was describing was macro optimism.

Beta Bias

The broader lesson here is not to judge emerging technologies – especially breakthrough ones – on early form factors and limitations. Micro pessimism is often grounded in reality, but reality changes – especially in the context of technological development. While no one can be sure how new technologies will improve and evolve, we can be sure that they will thanks to that invisible force driving technological progress: human intelligence, ingenuity and creativity.

This article was published at Pessimists Archive on 5/6/2024.

The Guardian | Space

“We’re in a New Era”: The 21st-Century Space Race Takes Off

“Space flight is having a renaissance moment, bringing a fresh energy not seen since the days of the Apollo programme and, for the first time, with private companies rather than governments leading the charge.

A series of recent milestone missions, not least the increasingly successful test flights of the largest rocket ever made and the first privately built probe to land on the lunar surface, have embedded a growing idea that humans are entering what has been termed the ‘third space age’.

‘To say we’re in a new era, that’s absolutely fair,’ said Greg Sadlier, a space economist and the co-founder of the know.space consultancy. ‘We’re in the era of competition, or the commercial era. The barriers to entry are lower, the costs have fallen, which has opened the doors to a much larger pool of nations,’ he said. ‘It’s the democratisation of space, if you like.'”

From The Guardian.

New Atlas | Energy & Natural Resources

Lithium-Free Sodium Batteries Enter US Production

“Two years ago, sodium-ion battery pioneer Natron Energy was busy preparing its specially formulated sodium batteries for mass production. The company slipped a little past its 2023 kickoff plans, but it didn’t fall too far behind as far as mass battery production goes. It officially commenced production of its rapid-charging, long-life lithium-free sodium batteries this week, bringing to market an intriguing new alternative in the energy storage game.

Not only is sodium somewhere between 500 to 1,000 times more abundant than lithium on the planet we call Earth, sourcing it doesn’t necessitate the same type of earth-scarring extraction. Even moving beyond the sodium vs lithium surname comparison, Natron says its sodium-ion batteries are made entirely from abundantly available commodity materials that also include aluminum, iron and manganese.”

From New Atlas.

Reuters | Science & Technology

Microsoft Readies New AI Model to Compete with Google, OpenAI

“Microsoft is training a new, in-house AI language model large enough to compete with those from Alphabet’s Google and OpenAI, the Information reported on Monday.

The new model, internally referred to as MAI-1, is being overseen by recently hired Mustafa Suleyman, the Google DeepMind co-founder and former CEO of AI startup Inflection, the report said, citing two Microsoft employees with knowledge of the effort…

MAI-1 will have roughly 500 billion parameters, the report said, while OpenAI’s GPT-4 is reported to have one trillion parameters and Phi-3 mini measures 3.8 billion parameters.”

From Reuters.