An internet search for free learning resources will likely return a long list that includes some useful sites amid a sea of not-really-free and not-very-useful sites.
To help teachers more easily find the best free and freemium sites they can use in their classrooms and curricula, I’ve curated a list that describes the top free/freemium sites for learning.
In some cases, Tech & Learning has reviewed the site in detail, and those links are included so readers can find out more about how to make the best use of the online materials. In all cases, the websites below provide valuable educational tools, lessons, and ideas, and are worth exploring further.
How to Kill Student Curiosity in 5 Steps (and What to Do Instead) — from edweek.org by Olivia Odileke The unintentional missteps teachers and administrators are making
I’ve observed five major ways we’re unintentionally stifling curiosity and issue a call to action for educators, administrators, and policymakers to join the curiosity revolution:
[On 5/21/24] at Microsoft Build, Microsoft and Khan Academy announced a new partnership that aims to bring these time-saving and lesson-enhancing AI tools to millions of educators. By donating access to Azure AI-optimized infrastructure, Microsoft is enabling Khan Academy to offer all K-12 educators in the U.S. free access to the pilot of Khanmigo for Teachers, which will now be powered by Azure OpenAI Service.
The two companies will also collaborate to explore opportunities to improve AI tools for math tutoring in an affordable, scalable and adaptable way with a new version of Phi-3, a family of small language models (SLMs) developed by Microsoft.
Khan Academy’s AI assistant, Khanmigo, has earned praise for helping students to understand and practice everything from math to English, but it can also help teachers devise lesson plans, formulate questions about assigned readings, and even generate reading passages appropriate for students at different levels. More than just a chatbot, the software offers specific AI-powered tools for generating quizzes and assignment instructions, drafting lesson plans, and formulating letters of recommendation.
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Having a virtual teaching assistant is especially valuable in light of recent research from the RAND Corporation that found teachers work longer hours than most working adults, which includes administrative and prep work outside the classroom.
Hello GPT-4o — from openai.com We’re announcing GPT-4o, our new flagship model that can reason across audio, vision, and text in real time.
GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.
Providing inflection, emotions, and a human-like voice
Understanding what the camera is looking at and integrating it into the AI’s responses
Providing customer service
With GPT-4o, we trained a single new model end-to-end across text, vision, and audio, meaning that all inputs and outputs are processed by the same neural network. Because GPT-4o is our first model combining all of these modalities, we are still just scratching the surface of exploring what the model can do and its limitations.
This demo is insane.
A student shares their iPad screen with the new ChatGPT + GPT-4o, and the AI speaks with them and helps them learn in *realtime*.
Imagine giving this to every student in the world.
Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day. This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.
The day started out with a short talk about AI (slides). Some of it is my usual schtick where I do a bit of Q&A with folks around myths and misunderstandings of generative AI in order to establish some common ground. These are often useful both in setting the tone and giving folks a sense of how I come to explore generative AI: with a mixture of humor, concern, curiosity, and of course, cat pics.
From there, we launched into a series of mini-workshops where folks had time to first play around with some previously created prompts around teaching and learning before moving onto prompts for administrative work. The prompts and other support materials are in this Workshop Resource Document. The goal was to just get them into using one or more AI tools with some useful prompts so they can learn more about its capabilities.
The Edtech Insiders Rundown of ASU+GSV 2024 — from edtechinsiders.substack.com by by Sarah Morin, Alex Sarlin, and Ben Kornell And more on Edtech Insiders+, upcoming events, Gauth, AI Reading Tutors, The Artificial Intelligence Interdisciplinary Institute, and TeachAI Policy Resources
Alex Sarlin
4. Everyone is Edtech Now This year, in addition to investors, entrepreneurs, educators, school leaders, university admins, non-profits, publishers, and operators from countless edtech startups and incumbents, there were some serious big tech companies in attendance like Meta, Google, OpenAI, Microsoft, Amazon, Tiktok, and Canva. Additionally, a horde of management consultancies, workforce organizations, mental health orgs, and filmmakers were in attendance.
Edtech continues to expand as an industry category and everyone is getting involved.
It was such a delight to chat with Ana. She’s brilliant and passionate, a talented educator, and an advocate for better ways of learning for children and adults. We cover ways to transform schools so that students get real-world skills, learn resilience and how to embrace challenges, and are prepared for an unpredictable future. And we go hard on why we must keep learning no matter our age, become generalists, and leverage technology in order to adapt to the fast-changing world.
The Texas Tribune reports an “automated scoring engine” that utilizes natural language processing — the technology that enables chatbots like OpenAI’s ChatGPT to understand and communicate with users — is being rolled out by the Texas Education Agency (TEA) to grade open-ended questions on the State of Texas Assessments of Academic Readiness (STAAR) exams. The agency is expecting the system to save $15–20 million per year by reducing the need for temporary human scorers, with plans to hire under 2,000 graders this year compared to the 6,000 required in 2023.
Debating About AI: An Easy Path to AI Awareness and Basic Literacy — from stefanbauschard.substack.com by Stefan Bauschard If you are an organization committed to AI literacy, consider sponsoring some debate topics and/or debates next year and expose thousands of students to AI literacy.
Resolved: Teachers should integrate generative AI in their teaching and learning.
The topic is simple but raises an issue that students can connect with.
While helping my students prepare and judging debates, I saw students demonstrate an understanding of many key issues and controversies.
These included—
*AI writing assessment/grading
*Bias
*Bullying
*Cognitive load
*Costs of AI systems
*Declining test scores
*Deep fakes
*Differentiation
*Energy consumption
*Hallucinations
*Human-to-human connection
*Inequality and inequity in access
*Neurodiversity
*Personalized learning
*Privacy
*Regulation (lack thereof)
*The future of work and unemployment
*Saving teachers time
*Soft skills
*Standardized testing
*Student engagement
*Teacher awareness and AI training; training resource trade-offs
*Teacher crowd-out
*Transparency and explainability
*Writing detectors (students had an exaggerated sense of the workability of these tools).
How Early Adopters of Gen AI Are Gaining Efficiencies — from knowledge.wharton.upenn.edu by Prasanna (Sonny) Tambe and Scott A. Snyder; via Ray Schroeder on LinkedIn Enterprises are seeing gains from generative AI in productivity and strategic planning, according to speakers at a recent Wharton conference.
Its unique strengths in translation, summation, and content generation are especially useful in processing unstructured data. Some 80% of all new data in enterprises is unstructured, he noted, citing research firm Gartner. Very little of that unstructured data that resides in places like emails “is used effectively at the point of decision making,” he noted. “[With gen AI], we have a real opportunity” to garner new insights from all the information that resides in emails, team communication platforms like Slack, and agile project management tools like Jira, he said.
Here are 6 YouTube channels I watch to stay up to date with AI. This list will be useful whether you’re a casual AI enthusiast or an experienced programmer.
1. Matt Wolfe: AI for non-coders
This is a fast-growing YouTube channel focused on artificial intelligence for non-coders. On this channel, you’ll find videos about ChatGPT, Midjourney, and any AI tool that it’s gaining popularity.
#3 Photomath
Photomath is a comprehensive math help app that provides step-by-step explanations for a wide range of math problems, from elementary to college level. Photomath is only available as a mobile app. (link)
Features:
Get step-by-step solutions with multiple methods to choose from
Scan any math problem, including word problems, using the app’s camera
Access custom visual aids and extra “how” and “why” tips for deeper understanding
Google researchers have developed a new artificial intelligence system that can generate lifelike videos of people speaking, gesturing and moving — from just a single still photo. The technology, called VLOGGER, relies on advanced machine learning models to synthesize startlingly realistic footage, opening up a range of potential applications while also raising concerns around deepfakes and misinformation.
I’m fascinated by the potential of these tools to augment and enhance our work and creativity. There’s no denying the impressive capabilities we’re already seeing with text generation, image creation, coding assistance, and more. Used thoughtfully, AI can be a powerful productivity multiplier.
At the same time, I have significant concerns about the broader implications of this accelerating technology, especially for education and society at large. We’re traversing new ground at a breakneck pace, and it’s crucial that we don’t blindly embrace AI without considering the potential risks.
My worry is that by automating away too many tasks, even seemingly rote ones like creating slide decks, we risk losing something vital—humanity at the heart of knowledge work.
Nvidia has announced a partnership with Hippocratic AI to introduce AI “agents” aimed at replacing nurses in hospitals. These AI “nurses” come at a significantly low cost compared to human nurses and are purportedly intended to address staffing issues by handling “low-risk,” patient-facing tasks via video calls. However, concerns are raised regarding the ethical implications and effectiveness of replacing human nurses with AI, particularly given the complex nature of medical care.
A glimpse of the future of AI at work:
I got early access to Devin, the “AI developer” – it is slow & breaks often, but you can start to see what an AI agent can do.
It makes a plan and executes it autonomously, doing research, writing code & debugging, without you watching. pic.twitter.com/HHBQQDQZ9q
OpenAI on Thursday announced its first partnership with a higher education institution.
Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.
The partnership has been in the works for at least six months.
ASU plans to build a personalized AI tutor for students, allow students to create AI avatars for study help and broaden the university’s prompt engineering course.
The collaboration between ASU and OpenAI brings the advanced capabilities of ChatGPT Enterprise into higher education, setting a new precedent for how universities enhance learning, creativity and student outcomes.
“ASU recognizes that augmented and artificial intelligence systems are here to stay, and we are optimistic about their ability to become incredible tools that help students to learn, learn more quickly and understand subjects more thoroughly,” ASU President Michael M. Crow said. “Our collaboration with OpenAI reflects our philosophy and our commitment to participating directly to the responsible evolution of AI learning technologies.”
AI <> Academia — from drphilippahardman.substack.com by Dr. Philippa Hardman What might emerge from ASU’s pioneering partnership with OpenAI?
Phil’s Wish List #2: Smart Curriculum Development ChatGPT assists in creating and updating course curricula, based on both student data and emerging domain and pedagogical research on the topic.
Output: using AI it will be possible to review course content and make data-informed automate recommendations based on latest pedagogical and domain-specific research
Potential Impact: increased dynamism and relevance in course content and reduced administrative lift for academics.
Unlike traditional leadership, adaptable leadership is not bound by rigid rules and protocols. Instead, it thrives on flexibility. Adaptable leaders are willing to experiment, make course corrections, and pivot when necessary. Adaptable leadership is about flexibility, resilience and a willingness to embrace change. It embodies several key principles that redefine the role of leaders in organizations:
Embracing uncertainty
Adaptable leaders understand that uncertainty is the new norm. They do not shy away from ambiguity but instead, see it as an opportunity for growth and innovation. They encourage a culture of experimentation and learning from failure.
Empowering teams
Instead of dictating every move, adaptable leaders empower their teams to take ownership of their work. They foster an environment of trust and collaboration, enabling individuals to contribute their unique perspectives and skills.
Continuous learning
Adaptable leaders are lifelong learners. They are constantly seeking new knowledge, stay informed about industry trends and encourage their teams to do the same. They understand that knowledge is a dynamic asset that must be constantly updated.
Major AI in Education Related Developments this week — from stefanbauschard.substack.com by Stefan Bauschard ASU integrates with ChatGPT, K-12 AI integrations, Agents & the Rabbit, Uruguay, Meta and AGI, Rethinking curriculum
“The greatest risk is leaving school curriculum unchanged when the entire world is changing.” Hadi Partovi, founder Code.org, Angel investor in Facebook, DropBox, AirBnb, Uber
Tutorbots in college. On a more limited scale, Georgia State University, Morgan State University, and the University of Central Florida are piloting a project using chatbots to support students in foundational math and English courses.
Pioneering AI-Driven Instructional Design in Small College Settings — from campustechnology.com by Gopu Kiron For institutions that lack the budget or staff expertise to utilize instructional design principles in online course development, generative AI may offer a way forward.
Unfortunately, smaller colleges — arguably the institutions whose students are likely to benefit the most from ID enhancements — frequently find themselves excluded from authentically engaging in the ID arena due to tight budgets, limited faculty online course design expertise, and the lack of ID-specific staff roles. Despite this, recent developments in generative AI may offer these institutions a low-cost, tactical avenue to compete with more established players.
There’s a new AI from Google DeepMind called AlphaGeometry that totally nails solving super hard geometry problems. We’re talking problems so tough only math geniuses who compete in the International Mathematical Olympiad can figure them out.
Calculus is a critical on-ramp to careers in science, technology, engineering and mathematics (STEM). But getting to those careers means surviving the academic journey.
While there’s been progress of late, it’s been “uneven” and Black, Hispanic and women workers are still underrepresented in some STEM fields. Traditional methods of calculus instruction may be knocking students off the path to these vital occupations, which is why advocates warn that getting diverse students into these careers may require instructional models more responsive to students. Meanwhile, the country is struggling to fill vacancies in related fields like semiconductor manufacturing, despite sizable investments — a feat that may require stabilizing the pipeline.
Good news: There’s mounting evidence that changing calculus instruction works for the groups usually pushed out of STEM. At least, that’s according to a randomized study recently published in the peer-reviewed journal Science.
So, as educators, mentors, and guides to our future generations, we must ask ourselves three pivotal questions:
What value do we offer to our students?
What value will they need to offer to the world?
How are we preparing them to offer that value?
The answers to these questions are crucial, and they will redefine the trajectory of our education system.
We need to create an environment that encourages curiosity, embraces failure as a learning opportunity, and celebrates diversity. We need to teach our students how to learn, how to ask the right questions, and how to think for themselves.
Leveraging ChatGPT for learning is the most meaningful skill this year for lifelong learners. But it’s too hard to find resources to master it.
As a learning science nerd, I’ve explored hundreds of prompts over the past months. Most of the advice doesn’t go beyond text summaries and multiple-choice testing.
That’s why I’ve created this article — it merges learning science with prompt writing to help you learn anything faster.
Midjourney AI Art for Teachers (for any kind of teacher, not just Art Teachers) — from The AI Educator on YouTube by Dan Fitzpatrick
From DSC: This is a very nice, clearly illustrated, free video to get started with the Midjourney (text-to-image) app. Nice work Dan!
In the new-normal of generative AI, how does one articulate the value of academic integrity? This blog presents my current response in about 2,500 words; a complete answer could fill a sizable book.
Massive amounts of misinformation are disseminated about generative AI, so the first part of my discussion clarifies what large language models (Chat-GPT and its counterparts) can currently do and what they cannot accomplish at this point in time. The second part describes ways in which generative AI can be misused as a means of learning; unfortunately, many people are now advocating for these mistaken applications to education. The third part describes ways in which large language models (LLM), used well, may substantially improve learning and education. I close with a plea for a robust, informed public discussion about these topics and issues.
Many of the more than a dozen teachers TIME interviewed for this story argue that the way to get kids to care is to proactively use ChatGPT in the classroom.
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Some of those creative ideas are already in effect at Peninsula High School in Gig Harbor, about an hour from Seattle. In Erin Rossing’s precalculus class, a student got ChatGPT to generate a rap about vectors and trigonometry in the style of Kanye West, while geometry students used the program to write mathematical proofs in the style of raps, which they performed in a classroom competition. In Kara Beloate’s English-Language Arts class, she allowed students reading Shakespeare’s Othello to use ChatGPT to translate lines into modern English to help them understand the text, so that they could spend class time discussing the plot and themes.
I found that other developed countries share concerns about students cheating but are moving quickly to use AI to personalize education, enhance language lessons and help teachers with mundane tasks, such as grading. Some of these countries are in the early stages of training teachers to use AI and developing curriculum standards for what students should know and be able to do with the technology.
Several countries began positioning themselves several years ago to invest in AI in education in order to compete in the fourth industrial revolution.
AI in Education— from educationnext.org by John Bailey The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise
In the realm of education, this technology will influence how students learn, how teachers work, and ultimately how we structure our education system. Some educators and leaders look forward to these changes with great enthusiasm. Sal Kahn, founder of Khan Academy, went so far as to say in a TED talk that AI has the potential to effect “probably the biggest positive transformation that education has ever seen.” But others warn that AI will enable the spread of misinformation, facilitate cheating in school and college, kill whatever vestiges of individual privacy remain, and cause massive job loss. The challenge is to harness the positive potential while avoiding or mitigating the harm.
Generative AI and education futures — from ucl.ac.uk Video highlights from Professor Mike Sharples’ keynote address at the 2023 UCL Education Conference, which explored opportunities to prosper with AI as a part of education.
Bringing AI Literacy to High Schools— from by Nikki Goth Itoi Stanford education researchers collaborated with teachers to develop classroom-ready AI resources for high school instructors across subject areas.
To address these two imperatives, all high schools need access to basic AI tools and training. Yet the reality is that many underserved schools in low-income areas lack the bandwidth, skills, and confidence to guide their students through an AI-powered world. And if the pattern continues, AI will only worsen existing inequities. With this concern top of mind plus initial funding from the McCoy Ethics Center, Lee began recruiting some graduate students and high school teachers to explore how to give more people equal footing in the AI space.
The status quo is far from inevitable. In fact, we know the solution to this reading crisis, but we are not using the solution at scale. More than 50 years of research compiled by the National Institutes of Health, and continued through further research, provides a clear picture of how skilled reading develops and of effective literacy instruction. These strategies and methods—collectively called scientifically based reading instruction, which is grounded in the science of reading—could dramatically reduce the rate of reading failure. Past estimates have found that while 3 in 10 children struggle to read (and that rate has grown higher since the pandemic), research indicates that more than 90% of all students could learn to read if they had access to teachers who employed scientifically based reading instruction.
Now a nonprofit co-founded by Havens has invented a computational programming platform built around one of the few technologies that people in prison do have access to: highly restricted, text-only e-mail. And as this facility begins to offer new opportunities, more and more incarcerated people are working on advanced mathematics to give meaning to their years behind bars.
ChatGPT Prompts for Learner Motivation — from drphilippahardman.substack.com by Dr. Philippa Hardman Three mega-prompts to motivate your learners like a pro
So, what can we – as educators and creators of ed-tech – do to build our learners’ intrinsic motivation and, in the process, drive both inclusion and achievement?
To help answer this question, I’ve put together a short guide. The guide includes:
A whistle-stop tour of the science of intrinsic motivation.
Three ChatGPT mega-prompts so you can apply the theory to the way you design learning experiences (and, perhaps, ed-tech products) and optimise for intrinsic motivation today.
Even discounting for hyperbole, the release of ChatGPT suggests that we’re at the dawn of an era marked by rapid advances in artificial intelligence, with far-reaching consequences for nearly every facet of society, including higher education. From admissions to assessment, academic integrity to scholarly research, university operations to disappearing jobs, here’s how 12 professors, administrators, and writers answer the question: How will AI change higher education?
We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to produce a chain-of-thought that is endorsed by humans.
In the fifth free webinar on AI for Education, I am joined by Dean Pearman, Head of Education at Beaconhills College and Tom Oliphant, Head of Technology and Enterprise at St John’s Grammar School. We explore questions about creativity, design and the new skills that are emerging. Join us to invest in your AI Literacy. Expand your toolset, broaden your understanding, and challenge your thinking.
You are watching the fourth free webinar, a dialogue about AI for education with Sophie Fenton, Steve Brophy and hosted by Tom Barrett Building Blocks – key AI concepts to learn. Practical frameworks for navigating the challenges of AI for education. Be part of a dialogue on provocations about AI and human centred education, truth and identity.
Using ChatGPT in Math Lesson Planning — from edutopia.org by Kristen Moore Artificial intelligence tools are useful beyond language arts classes. Math teachers can use them to save time and create interesting lessons.
Democratic Inputs to AI — from openai.com Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
AI Canon — from a16z.com (Andreessen Horowitz) by Derrick Harris, Matt Bornstein, and Guido Appenzeller; via The Neuron newsletter
Excerpts:
Research in artificial intelligence is increasing at an exponential rate. It’s difficult for AI experts to keep up with everything new being published, and even harder for beginners to know where to start. So, in this post, we’re sharing a curated list of resources we’ve relied on to get smarter about modern AI. We call it the “AI Canon” because these papers, blog posts, courses, and guides have had an outsized impact on the field over the past several years.
Students from the 6th grade at Nathan Hale School complete a “bingo challenge” as part of the Red Sox Hall of Fame stop on their guided tour of the Fenway Park Learning Lab.
Excerpt:
The six-stop tour has students learning history, geography, math, and science. Student visitors get baseball caps, t-shirts, and a backpack full of other souvenir items like baseball cards, binoculars, a calculator, and a pen. The most important piece of equipment may be a 40-page, seriously substantive workbook, developed with the Boston Public Schools, that students work their way through along the hourlong guided tour.
Micro-tutoring platform PhotoStudy has unveiled a new chatbot built on OpenAI’s ChatGPT APIs that can teach a complete elementary algebra textbook with “extremely high accuracy,” the company said.
“Textbook publishers and teachers can now transform their textbooks and teaching with a ChatGPT-like assistant that can teach all the material in a textbook, assess student progress, provide personalized help in weaker areas, generate quizzes with support for text, images, audio, and ultimately a student customized avatar for video interaction,” PhotoStudy said in its news release.
Some sample questions the MathGPT tool can answer:
“I don’t know how to solve a linear equation…”
“I have no idea what’s going on in class but we are doing Chapter 2. Can we start at the top?”
“Can you help me understand how to solve this mixture of coins problem?”
“I need to practice for my midterm tomorrow, through Chapter 6. Help.”
From DSC: A few items re: ChatGPT — with some items pro-chat and other items against the use of ChatGPT (or at least to limit its use).
How About We Put Learning at the Center? — from insidehighered.com by John Warner The ongoing freak-out about ChatGPT sent me back to considering the fundamentals.
Excerpt:
So, when people express concern that students will use ChatGPT to complete their assignments, I understand the concern, but what I don’t understand is why this concern is so often channeled into discussions about how to police student behavior, rather than using this as an opportunity to exam the kind of work we actually ask students (and faculty) to do around learning.
If ChatGPT can do the things we ask students to do in order to demonstrate learning, it seems possible to me that those things should’ve been questioned a long time ago. It’s why I continue to believe this technology is an opportunity for reinvention, precisely because it is a threat to the status quo.
Top AI conference bans use of ChatGPT and AI language tools to write academic papers — from theverge.com by James Vincent; with thanks to Anna Mills for this resource AI tools can be used to ‘edit’ and ‘polish’ authors’ work, say the conference organizers, but text ‘produced entirely’ by AI is not allowed. This raises the question: where do you draw the line between editing and writing?
Excerpt:
The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)
I am protective of my organic writing process, but when it’s time to edit, ChatGPT sometimes helps me notice which sentences aren’t quite put together as they should be. When I ask it why it suggested a revision, it sometimes describes a word choice nuance I hadn’t thought of.
— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) January 5, 2023
Instead, I want to discuss the opportunity provided by AI, because it can help us teach in new ways. The very things that make AI scary for educators — its tedency to make up facts, its lack of nuance, and its ability to make excellent student essays — can be used to make education better.
This isn’t for some future theoretical version of AI. You can create assignments, right now, using ChatGPT, that we will help stretch students in knew ways. We wrote a paper with the instructions. You can read it here, but I also want to summarize our suggestions. These are obviously not the only ways to use AI to educate, but they solve some of the hardest problems in education, and you can start experimenting with them right now.
New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.
SINGAPORE – Teachers in Singapore say they will likely have to move from assignments requiring regurgitation to those that require greater critical thinking, to stay ahead in the fight against plagiarism.
This comes on the back of the rise of ChatGPT, an intelligent chatbot that is able to spin essays and solve mathematical equations in seconds.
ChatGPT Is Not Ready to Teach Geometry (Yet)— from educationnext.org by Paul T. von Hippel The viral chatbot is often wrong, but never in doubt. Educators need to tread carefully.
Excerpt:
Can ChatGPT provide feedback and answer questions about math in a more tailored and natural way? The answer, for the time being, is no. Although ChatGPT can talk about math superficially, it doesn’t “understand” math with real depth. It cannot correct mathematical misconceptions, it often introduces misconceptions of its own; and it sometimes makes inexplicable mathematical errors that a basic spreadsheet or hand calculator wouldn’t make.