
Teaching With AI: ChatGPT Study Mode Transforms Student Learning
Over the last three years, generative artificial intelligence and large language models like ChatGPT have caused much concern as people speculate whether ChatGPT will replace teachers, serve as a helpful teaching assistant, or make students too lazy to learn anything. With the introduction of ChatGPT Study Mode, OpenAI strongly argues that there is a pedagogical role an AI can play productively; essentially, it can shift from being an oracle that provides answers to a Socratic mentor guiding students through a process of learning discovery.
ChatGPT Study Mode As Learning Companion
Traditional student interactions with ChatGPT have often involved questions that provoke direct, comprehensive responses: lengthy explanations, step-by-step solutions, or even complete essays. While experienced users have been able to use these interactions as the basis for tutoring sessions, for the vast majority, that has not been the case. This is a problem because research shows that when students use ChatGPT as a tutor, their academic performance improves. But when it was used simply to generate answers, it often hindered learning.
Part of the reason for this gap between power users and typical users is the route by which students have become aware of ChatGPT. According to Leah Belsky, OpenAI's VP of Education, 'Students are adopting AI via social media, through their friends, and often ahead of teachers and parents. Given this widespread use, we set out to understand how students are using ChatGPT, and how we might make it an even better tool for education.'
ChatGPT Study Mode Is Built On Learning Science
What makes Study Mode different is not just tone or interface, but pedagogical design. OpenAI worked with education researchers and learning scientists from more than 40 institutions worldwide in developing the tool. These experts provided both evaluations of AI responses and model answers from skilled teachers and tutors that the AI is trained to emulate.
Part of being a good learning companion is understanding what a learner already knows and what they are trying to learn. Toward that end, Study Mode is constantly assessing students and context to determine how it can best serve this role, prompting students with questions, calibrating to their level of understanding, and encouraging them to work through problems rather than simply read about them.
The result is a student experience that mimics consensus good teaching. For instance, a student asking about game theory will no longer receive an instant mini-lecture. Instead, the system first asks: 'What are you trying to learn? What's your background?' This lets the AI tailor its responses not just to the topic, but to the learner. In addition to asking clarifying questions and probing a student's assumptions, it will also adapt to their pace of learning. This ensures it avoids dumping too much information at once, instead scaffolding its response to promote understanding one concept at a time. If a student tries to evade this process and just asks for the answer, the AI will resist the request and instead redirect the student to engage with the material. The goal is to help students build confidence through effort and to lower the barrier to entry for deeper academic exploration.
ChatGPT Study Mode Challenges And Next Steps
While Study Mode is a powerful shift, it raises important questions. For example, can educators or parents enforce its use? Not yet. Admin-level controls for schools or education platforms are not available at launch, though OpenAI confirmed it is exploring that functionality in future updates.
There is also the perennial concern that students might simply toggle back to the default ChatGPT interface when they get frustrated. Belsky acknowledges this risk but argues that motivation is the stronger variable: 'If students feel confident they can learn, and if the learning experience is engaging, they are more likely to stay with it.'
That sense of engagement may turn out to be the product's most important feature. Where early learning software emphasized static content and repetition, Study Mode creates an interactive, dynamic, and responsive dialogue—the kind most often found in small group seminars or one-on-one tutoring sessions. It's AI as educational dialogue, not as content delivery.
ChatGPT Study Mode Captures Learning Process
One of the most intriguing long-term possibilities raised by Study Mode is the opportunity to capture and analyze the dialogue between student and AI as a form of assessment. Unlike traditional testing, which evaluates static outputs, these dialogues could offer a window into how students think, how they revise their understanding, and how their reasoning improves over time.
One of the most limiting aspects of traditional classroom instruction, compared to one-on-one teaching, is the inability to pay attention to everyone all the time. When there is just a single instructor and student, there is no need for written examinations because the teacher observes the learning process as it happens. The great potential for Study Mode as it develops is that as the dialogue between student and AI becomes more natural, it will be possible to capture more of the underlying learning process, rather than just the products of learning created by students. Ultimately, the process is what will illuminate understanding and confusion, and changes to the process will lead to improvement.
Chat GPT Study Mode: A New Chapter In AI And Education
ChatGPT Study Mode is a promising work in progress. It reflects a deliberate move away from answer automation and toward thoughtful, personalized guidance. As students and educators explore its capabilities, it has the potential to embody a vision for AI in education centered on what a student can learn rather than what the AI might say next.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Business Wire
12 minutes ago
- Business Wire
Former Docker Engineering Leader Joins TurinTech to Help Scale Artemis - Its AI Engineering Platform for the Agentic Era
LONDON--(BUSINESS WIRE)--TurinTech, a leader in Evolutionary agentic code platforms, today announced that Michael Parker has joined as its Vice President of Engineering. A veteran in developer tooling and platform engineering, Parker brings decades of experience building scalable systems and leading global teams—including at Docker, where he helped modernize the company's cloud platform and developer experience. Parker joins TurinTech as it prepares to launch Artemis more broadly, bringing agentic AI into the heart of the developer experience—from planning to production. Built around an outcome-first approach, Artemis helps teams guide and validate AI contributions, align work to their goals, and improve code with confidence. It's a platform designed not just for faster development—but for trusted, measurable results. Mike Basios, Chief Technology Officer at TurinTech, commented: 'We're building Artemis to help teams get the most out of AI—whether that's LLMs, agents, or both. It's not about generating more code—it's about delivering measurably improved outcomes.' At Docker, Parker played a key role in the company's shift from infrastructure to developer-first tooling. He led platform modernization, scaled distributed teams, and oversaw the user experience behind Docker Hub. At TurinTech, he will oversee engineering delivery across Artemis cloud and on-prem deployments, ensuring developers can work seamlessly with AI agents, planning workflows, and outcome-based review tools. 'Agentic development is a powerful shift, but it needs structure to succeed,' said Michael Parker, VP of Engineering. 'With Artemis, we're building the planning and workflow intelligence that lets AI agents work more like real teammates. Developers stay in control, but get meaningful support—from scoping to implementation to validation. It's about tackling the real-world friction in today's GenAI tools and making AI genuinely useful in everyday engineering.' Leslie Kanthan, CEO and Co-founder of TurinTech, added: 'Demand for Artemis continues to grow since our limited launch earlier this year. Global enterprises like Intel and Taylor Wessing are already engaging, and we're seeing strong developer interest in our AI-driven engineering platform. With Michael onboard, we're excited to accelerate availability and bring the power of Artemis to more teams, faster.' Be Among the First to Try What's Next Discover what Artemis can do—and sign up to be one of the first to access our upcoming AI-powered developer experience: TurinTech builds intelligent systems that evolve and improve code and machine learning models. Its platforms, Artemis for code and evoML for ML pipelines, combine agentic planning, evolutionary algorithms, and real-time validation to deliver measurable, production-ready results. Whether optimizing GenAI output, modernizing legacy code, or tuning ML for performance, TurinTech helps teams move beyond generation to deliver software that's intelligent by design—trusted, efficient, and built to deliver the results you need with the full power of AI. To learn more, visit
Yahoo
28 minutes ago
- Yahoo
Apple announces additional $100 billion in US investment, following Trump iPhone tariff threat
Apple (AAPL) revealed plans to invest an additional $100 billion in US manufacturing commitments during a press event at the White House with President Trump on Wednesday. The move follows Apple's prior $500 billion investment in US spending, which includes working with partners to build an AI server plant in Texas. Shares of Apple climbed more than 2% following the news. Apple says that the $100 billion announcement includes its new American Manufacturing Program (AMP), which the company says will incentivize global companies to build critical components in the US. The tech giant says its first AMP partners will include Corning, Coherent, GlobalWafers America, Applied Materials, Texas Instruments, Samsung, GlobalFoundries, Amkor, and Broadcom. "I love that you're doing this. I love that," Trump during the announcement, later adding, "We've got the hottest country anywhere in the world." During the briefing, Cook presented Trump with a disc made of Corning glass a top of a gold stand made by a former US Marine who is now an Apple employee. As part of the investment, Apple is making a $2.5 billion commitment to produce all of the cover glass for its iPhones and Apple Watches at Corning's Harrodsburg, Kentucky, manufacturing facility. The two companies will also work to open an Apple-Corning Innovation Center at the plant to help develop and engineer materials and next-generation manufacturing platforms for future Apple products. Apple also says it has entered a multiyear agreement with Coherent to produce lasers for its Face ID feature for the iPhone and iPad. The company is also touting what it says is an end-to-end American silicon supply chain, which includes sourcing silicon wafers from GlobalWafers in Sherman, Texas, for use in American chip factories; working with Applied Materials to increase production of semiconductor manufacturing technologies; and getting semiconductors from Texas Instruments. Apple is further teaming up with Samsung to work on new chipmaking technologies at its plant in Austin, Texas, as well as with GlobalFoundries and Amkor to bring more chip manufacturing and packaging to the US, respectively. Apple's news comes after the Trump administration began pressuring the tech giant to manufacture its iPhone in the US, going so far as to threaten to impose a 25% tariff on the devices if the company didn't comply. Apple's announcement also comes as the company prepares for a new 25% tariff on goods destined for the US from India. That's in addition to an existing 25% levy Trump previously said he would apply to the country's products. Read more: The latest news and updates on Trump's tariffs Apple builds the majority of the iPhones headed to the US in India, having diversified its supply chain beyond China following the COVID-19 pandemic. The company still produces iPhones for the rest of the world in China. Trump has repeatedly criticized Apple for building its iPhones abroad, with the administration saying the company should instead bring its manufacturing facilities to the US. But industry experts say doing so would be a Herculean task even for Apple, due to a lack of available skilled workers and limited supply chain resources in the country. Even if those factors weren't an issue, it would take years to complete construction of an iPhone plant, at which point Trump would no longer be in office. During its most recent quarterly earnings report, Apple said it took an $800 million hit due to existing tariffs and anticipated an additional $1.1 billion in related costs in its current quarter. Email Daniel Howley at dhowley@ Follow him on X/Twitter at @DanielHowley.
Yahoo
41 minutes ago
- Yahoo
Billionaire David Tepper Is Selling Nvidia, AMD, and TSMC, and Loading Up On Shares of This Trillion-Dollar Artificial Intelligence (AI) Stock Instead
Key Points Quarterly-filed Form 13Fs provide a way for investors to track which stocks Wall Street's leading asset managers are buying and selling. Appaloosa's David Tepper has been a persistent seller of AI stocks over the last year, including hardware giants Nvidia and Advanced Micro Devices, as well as Taiwan Semiconductor. Only 11 public companies have ever reached the trillion-dollar valuation plateau -- and one of these companies has been on Tepper's buy list. These 10 stocks could mint the next wave of millionaires › For some investors, earnings season is the pinnacle of each quarter. This six-week period, where many of Wall Street's most influential businesses lift the hood on their operating results, provides investors with invaluable information. However, an equally strong argument can be made that the quarterly filing of Form 13Fs with the Securities and Exchange Commission is just as important as earnings season. A 13F offers investors a way to see which stocks Wall Street's top money managers have been buying and selling. In other words, these filings clue investors in to the stocks, industries, sectors, and trends that have piqued the interest of highly successful asset managers. Arguably no trend has been hotter than the rise of artificial intelligence (AI). Empowering software and systems with the tools to make split-second decisions without human intervention is a multitrillion-dollar global opportunity, which explains why AI stocks have soared. But not all of Wall Street's prominent billionaire fund managers are along for the ride. Based on 13Fs filed in mid-May that detail first-quarter trading activity, Appaloosa's billionaire chief David Tepper has been a big-time seller of three red-hot AI stocks -- Nvidia (NASDAQ: NVDA), Advanced Micro Devices (NASDAQ: AMD), and Taiwan Semiconductor Manufacturing (NYSE: TSM), or TSMC -- over the previous year. Curiously, though, Tepper has been loading up on another AI stock that somewhat recently joined the exclusive trillion-dollar club. Billionaire David Tepper has been a persistent seller of Nvidia, AMD, and TSMC stock Tepper and his team tend to be fairly active and are regularly building up or reducing their existing stakes. Rather than looking at changes from the prior three-month period, more wisdom can often be gained by examining year-over-year changes to Appaloosa's more than $8 billion dollar investment portfolio. Between April 1, 2024, and March 31, 2025, Tepper oversaw a significant reduction in, or the complete exit from, three of the AI revolution's top companies: Nvidia: 4,120,000 shares sold (93% reduction), which has been adjusted to account for Nvidia's 10-for-1 stock split in June 2024. Taiwan Semiconductor: 230,000 shares sold (46% reduction). Advanced Micro Devices: 1,630,000 shares sold (completely exited position). All three of these companies have been successful in their own right within the AI arena. Nvidia's graphics processing units (GPUs) account for the bulk of GPUs deployed in AI-accelerated data centers, while AMD's Instinct series chips are slowly adding market share. Meanwhile, TSMC is the world's leading chip-fabrication company, with its chip-on-wafer-on-substrate capacity rapidly expanding to satiate growing enterprise demand for AI infrastructure. If everything is going to well for Nvidia, AMD, and TSMC, the question that has to be asked is: Why did billionaire David Tepper sell over a 12-month period? Simple profit-taking is one of the more logical answers. All three companies have seen their shares appreciate noticeably over the trailing-three-year period, and Tepper has demonstrated he's not shy about locking in gains. What's worrisome is there may be more to this persistent selling activity than just a desire to take some chips off the table. For example, every next-big-thing technology since (and including) the proliferation of the internet in the mid-1990s has navigated its way through a bubble that eventually burst. In plainer English, investors continually overestimate the adoption rates and/or utility of game-changing technological advances. It's going to take time for AI to mature as a technology and for businesses to figure out how to optimize their solutions and generate a positive return on their investments. This suggests another bubble may be brewing. Whereas Taiwan Semiconductor is a diversified company that generates a meaningful percentage of its net sales from fabricating chips for smartphones, Internet of Things, and automotive, Nvidia and AMD are increasingly reliant on enterprise GPU orders. If an AI bubble were to form and burst, these two companies would be hit hard. Valuation may have also come into play for Appaloosa's billionaire chief. Historically, industry-leading businesses thriving on the heels of a next-big-thing trend have topped out at 30 to 40 times trailing-12-month sales. Nvidia's price-to-sales (P/S) ratio is 31, as of this writing. With the stock market also historically pricey, Tepper may view Nvidia, AMD, and TSMC as being on shakier ground than their respective share prices would indicate. This trillion-dollar AI stock is bucking the trend in Tepper's fund Whereas billionaire David Tepper has been an undeniable seller of artificial intelligence stocks over the trailing year, based on 13F filings, there's one trillion-dollar AI stock that's managed to buck the trend. During the March-ended quarter, Appaloosa gobbled up 130,000 shares of Broadcom (NASDAQ: AVGO), which is one of only 11 public companies around the world to have ever reached a $1 trillion valuation. While Nvidia and AMD have locked down the lion's share of GPU market share in AI-accelerated data centers, Broadcom is the preferred choice for its host of AI networking solutions. Its products are capable of connecting tens of thousands of AI-GPUs in order to maximize compute capacity, as well as minimize tail latency. Put simply, Broadcom's hardware reduces lag, which facilitates the split-second decisions that need to be made by AI-empowered software and systems. Broadcom is also making a name for itself thanks to its custom AI chips. During the company's fourth-quarter conference call in late 2024, CEO Hock Tan opined that a few of its hyperscaler clients could spend anywhere from $60 billion to $90 billion in fiscal 2027 (its fiscal year ends in late October or early November). As long as AI remains a hot trend, Broadcom is expected to be one of the more unstoppable stocks. But what Appaloosa's Tepper might appreciate most about Broadcom is that it's much more than just an AI-driven company. While AI is, unquestionably, Broadcom's most meaningful growth driver at the moment, it has plenty of other channels that generate sales and positive operating cash flow. Before AI became the hottest thing on Wall Street, Broadcom was known for its lead role in developing wireless chips and accessories used in next-generation smartphones. Even though smartphones aren't the growth story they were a decade ago, the ongoing expansion of 5G service globally provides a modest growth opportunity for Broadcom. In addition, it offers an assortment of solutions for industrial product lines and automobiles, as well as owns an enterprise cybersecurity solutions division. The point being that if the AI bubble were to burst, Broadcom would, in all likelihood, be in better shape to navigate the coming storm than hardware giants Nvidia and AMD. Lastly, Tepper may have found Broadcom's valuation more palatable than the likes of Nvidia. As of this writing on Aug. 5, Broadcom is valued at 35 times forward-year earnings, but appears to be sporting a sustainable annual growth rate of 20% or greater. Don't miss this second chance at a potentially lucrative opportunity Ever feel like you missed the boat in buying the most successful stocks? Then you'll want to hear this. On rare occasions, our expert team of analysts issues a 'Double Down' stock recommendation for companies that they think are about to pop. If you're worried you've already missed your chance to invest, now is the best time to buy before it's too late. And the numbers speak for themselves: Nvidia: if you invested $1,000 when we doubled down in 2009, you'd have $462,306!* Apple: if you invested $1,000 when we doubled down in 2008, you'd have $38,522!* Netflix: if you invested $1,000 when we doubled down in 2004, you'd have $619,036!* Right now, we're issuing 'Double Down' alerts for three incredible companies, available when you join , and there may not be another chance like this anytime soon.*Stock Advisor returns as of August 4, 2025 Sean Williams has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy. Billionaire David Tepper Is Selling Nvidia, AMD, and TSMC, and Loading Up On Shares of This Trillion-Dollar Artificial Intelligence (AI) Stock Instead was originally published by The Motley Fool