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MIT

Introducing the Open Learners Podcast

Emmanuel Kasigazi is a data scientist from Kampala, Uganda. Michael Jordan Pilgreen is a financial technology engineer from Memphis, Tennessee. Kasigazi and Pilgreen know firsthand how transformative open learning can be: Pilgreen’s discovery of the free educational materials at MIT OpenCourseWare helped him develop new technical skills and eventually led to a new career in a field he is passionate about, while Kasigazi has enjoyed MIT OpenCourseWare’s wealth of lecture videos on YouTube for years, not only to learn within his field but also to immerse himself in the deep questions of psychology and philosophy. In this episode we hear from Kasigazi and Pilgreen about how open learning changed their lives and how they became friends and colleagues despite living on opposite sides of the world. We also hear of their new project, in which they’ll be teaming up to host an upcoming special season of Chalk Radio. Unlike the typical Chalk Radio season, which focuses on the supply side of open learning, featuring interviews with inspired educators at MIT, this special “Open Learners” podcast season will focus on candid conversations with open learners from all over the world. This special season is coming Fall 2024. Don’t miss it! Relevant Resources:MIT OpenCourseWareThe OCW Educator PortalEmmanuel Kasigazi - Open Learning StoryMichael Jordan Pilgreen - Open Learning StoryMusic in this episode by Blue Dot Sessions Share Your Open Learning StoryTo share your own open learning story with Michael and Emmanuel, send them an email at open_learners_pod@mit.edu. Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

Gratis

MIT

Maria from Brazil: An Open Learner’s Story

In this inaugural episode of the Open Learners podcast, hosts Emmanuel Kasigazi and Michael Jordan Pilgreen interview Maria Eduarda Barbosa, a medical student located in Rio de Janeiro, Brazil. Maria tells in her own words how MIT OpenCourseWare changed the trajectory of her life, particularly how she might never have achieved her full potential if one of her teachers had not recognized her abilities and urged her to pursue more challenging studies. Googling “Calculus introductory course,” Maria discovered one of Prof. Gilbert Strang’s videos on MIT OpenCourseWare, and it opened a vision of new horizons for her. She became a near-daily user of MIT OpenCourseWare, and the experience transformed her intellectual life, inspiring her to become passionate about her own education and to share that passion with others around her. Maria describes how the experience has not only awakened her curiosity and self-motivation, but also given her a better attitude about the gaps in her existing knowledge. Now, she says, she doesn’t think, “Oh, I'm lost because I'm stupid”; instead she thinks, “I'm lost because I haven't learned this yet.”The Open Learners podcast is produced by Alexis Haut.Relevant Resources:MIT OpenCourseWareThe OCW Educator portalProf. Andrew Lo (MIT faculty page)15.401 Finance Theory I on MIT OpenCourseWareProf. Gilbert Strang (MIT faculty page)RES.18-005 Highlights of Calculus (including “The Big Picture of Calculus”) on MIT OpenCourseWareMusic in this episode by Blue Dot Sessions Share Your Open Learning StoryTo share your own open learning story with Michael and Emmanuel, send them an email at open_learners_pod@mit.edu. Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

Climate in Classrooms: Tools for All Teachers and Disciplines

A guide for high school teachers across locations and academic disciplines to incorporate accurate, meaningful climate education content into K-12 curricula.Course content is specifically applicable to history and social science, English and language arts, natural sciences, and math.

Gratis

MIT

Jae-Min from South Korea: An Open Learner’s Story

Jae-Min Hong, our guest for this episode, is a hungry learner with wide-ranging curiosity and a distrust of groupthink. A native of South Korea, she has been fluent in English from childhood, which has opened up many educational possibilities for her. Aiming to widen her cultural horizons, she opted to attend high school in New Zealand; a few years later, she transferred from a Korean university to an American one so she could attend in-person classes during the Covid pandemic. With the help of lecture videos from MIT OpenCourseWare, Jae-Min was able to supplement her formal studies and pursue all the subjects that interest her, from chemistry and thermodynamics through data science and financial technology. She’s now back in South Korea, where she’s finishing a degree in economics at Yonsei University. She feels it’s time for her to really focus her attention on a single field and a single goal, a career in investment banking. But if that doesn’t work out, she says, she can always come back to MIT OpenCourseWare and dip once more into the wealth of resources it has to offer. The Open Learners podcast is produced by Alexis Haut.Relevant Resources:MIT OpenCourseWareThe OCW Educator portal5.60 Thermodynamics & Kinetics on MIT OpenCourseWare15.401 Finance Theory I on MIT OpenCourseWare18.06 Linear Algebra on MIT OpenCourseWareProf. Gilbert Strang (MIT faculty page)RES.18-005 Highlights of Calculus (including “The Big Picture of Calculus”) on MIT OpenCourseWareMusic in this episode by Blue Dot Sessions Share Your Open Learning StoryTo share your own open learning story with Michael and Emmanuel, send them an email at open_learners_pod@mit.edu. Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

Nader from Jordan: An Open Learner's Story

When Nader AlEtaywi was in high school in Jordan, he had a passion for finance but his prospects seemed limited. Juggling his studies, minimum-wage jobs, and family crises made it hard to envision a future where he could develop his talents and flourish in his chosen field. Through sheer perseverance he finished high school and entered university, where during the Covid pandemic in late 2020 he discovered the world of educational resources that MIT Open Learning offers. He devoured MIT OpenCourseWare courses in statistics, computer programming, and calculus, and soon realized that he could take steps toward a career in finance by enrolling in a MITx MicroMasters program. The program’s instructional team recognized Nader’s talent, and when he finished the program they offered him a position as a teaching assistant. From there, drawing on the skills he had learned but also on the online community he had become a part of, Nader was able to get jobs in his field, first working for a financial firm in Jordan, and then for companies in the US and Dubai. In this episode, we hear his inspiring story of passion and perseverance.The Open Learners podcast is produced by Alexis Haut and hosted by Emmanuel Kasigazi and Michael Jordan Pilgreen. Relevant Resources:MIT OpenCourseWareThe OCW Educator portalMIT MicroMasters Program in FinanceDr. Egor Matveyev (MIT faculty page)Prof. Andrew Lo (MIT faculty page)Courses by Prof. Lo on MIT OpenCourseWareMusic in this episode by Blue Dot Sessions Share Your Open Learning StoryTo share your own open learning story with Michael and Emmanuel, send them an email at open_learners_pod@mit.edu. Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

MIT Project on Embodied Education

The MIT Project on Embodied Education aims to close the gap between the growing body of research on movement and the learning process and the pedagogical strategies that educators use, finding ways to integrate physical activity and academic instruction at all levels—for example, teaching elementary school math through yoga, middle school physics through martial arts, high school science through swimming, and college history through dance.

Gratis

MIT

Lotfullah from Afghanistan: An Open Learner's Story

Our guest for this episode, Lotfullah Andishmand, grew up in a village in rural Afghanistan where there was no internet access or electric lights. (He describes having had to navigate by moonlight to get to his uncle’s house for tutoring in chemistry.) In search of educational opportunity, he eventually moved to Kabul, where he discovered MIT OpenCourseWare’s lecture videos while studying electrical engineering at the university. Even there, though, the internet infrastructure was shaky enough that Lotfullah often resorted to downloading the course materials so he could study them at leisure when broadband wasn’t available. He now resides in India and recently graduated from the MIT Emerging Talent certificate program in Computer and Data Science, specifically designed for displaced communities worldwide. As he continues his educational journey in data science and artificial intelligence, he remains deeply mindful of the challenges he encountered as a student in his home country. Recognizing that most of the available online educational resources are in English, a language few Afghans are fluent in, Lotfullah has used his computer skills to create an online learning platform offering educational materials in Persian. Someday, he hopes the platform will expand to include full online courses with direct interaction between instructors and students.The Open Learners podcast is produced by Alexis Haut and hosted by Emmanuel Kasigazi and Michael Jordan Pilgreen. Relevant Resources:MIT OpenCourseWareThe OCW Educator portalMIT Emerging Talent programMIT MicroMasters Program in Statistics and Data Science6.0001 Introduction to Computer Science and Programming in Python on MIT OpenCourseWareHooshmand Lab online learning website (in Persian)Music in this episode by Blue Dot Sessions Share Your Open Learning StoryTo share your own open learning story with Michael and Emmanuel, send them an email at open_learners_pod@mit.edu. Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

AI Summarizes Our Paper About AI

Justin Reich and researcher and producer Jesse Dukes argue that AI in requires a new theoretical framework. Generative AI, unlike many teaching technologies, is an "arrival" technology, meaning it will be present in school environments regardless of what choices school leaders make about whether to adopt it. Their new preprint Toward a New Theory of Arrival Technologies: The Case of ChatGPT and the Future of Education Technology after Adoption explores the idea of "arrival technologies"But rather than summarize it, hey, why not let the arrival technology do it? So we turn to Google's new tool, Notebook LM for a "Deep Dive Conversation" to summarize the article. Thanks to the Spencer Foundation and the Social and Ethical Responsibilities of Computing initiative at MIT for funding our ongoing research into the arrival of generative AI in schools. Thanks to all of the teachers and administrators who have talked with us. This episode was produced by Jesse Dukes. We had research help from Chris Bagg, Manasa Kudumu, Natasha Esteves, and Andrew Meriwether. If you want to take our survey, or learn more about our research into Generative AI and K12 education, head over to tsl.mit.edu and if you want to volunteer for the sister study, in California, visit Jesse’s Linktree.

Gratis

MIT

Jerry from Uganda: An Open Learner's Story

They say every crisis also presents an opportunity. Open learner Jerry Vance Anguzu seized one such opportunity in the midst of the Covid-19 pandemic, when his native country of Uganda went into lockdown. Jerry was stuck at home, unable to earn a living, but that enforced inactivity gave him the chance to pursue new directions in his education. A few years earlier, he had discovered MIT OpenCourseWare and had seen what it had to offer; now he returned to MIT Open Learning resources in earnest, plowing through courses in data science and computer programming; soon thereafter he was accepted into the MIT Emerging Talent certificate program, where he began to develop an interest in entrepreneurship. Now, just a few years later, Jerry has his own startup, Everpesa Technologies, a financial services platform that offers sustainable investment opportunities and financial literacy resources to people in sub-Saharan Africa. Along the way, he has become a self-described “OCW ambassador,” enthusiastically spreading the word to relatives and colleagues about the learning resources that are available online through MIT OpenCourseWare. “You don’t need to pay anything,” Jerry tells them. “You just need to have a bit of time.”The Open Learners podcast is produced by Alexis Haut and hosted by Emmanuel Kasigazi and Michael Jordan Pilgreen.Relevant Resources:MIT OpenCourseWareThe OCW Educator portalMIT Emerging Talent programMIT Jameel World Education LabMIT MicroMasters Program in Statistics and Data ScienceEverpesa website6.0001 Introduction to Computer Science and Programming in Python on MIT OpenCourseWareMusic in this episode by Blue Dot Sessions Share Your Open Learning StoryTo share your own open learning story with Michael and Emmanuel, send them an email at open_learners_pod@mit.edu. Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

Maybe We Should be a Little Worried About AI + Cheating?

School leaders, education researchers, and others often point to a study conducted by Stanford researchers that suggested the arrival of generative AI in K-12 school has not meaningfully increased the percentage of students who acknowledge some kind of academic dishonesty. Sometimes, school leaders or experts suggest it means there’s “nothing to see here” when it comes to tools like ChatGPT and worries about students bypassing learning. Researcher + Journalist Jesse Dukes joins Justin to dive into the specifics of that study, and compare it with anecdotes from interviews with students and teachers. This episode was produced by Andrew Meriwether and Jesse Dukes. We had additional reporting from Holly McDede and research help from Natasha Esteves and Manassa Kudumu. Thanks to the Spencer Foundation and the Social and Ethical Responsibilities of Computing Initiative at MIT for funding our ongoing research into the arrival of generative AI in schools. And thanks to the Kapor Foundation for funding Jesse’s work in California with KALW public radio. Thanks to all of the teachers and administrators who have talked with us. If you want to take our survey, or learn more about our research into Generative AI and K12 education, head over to tsl.mit.edu/ai and if you want to volunteer for the sister study, in California, visit Jesse’s Linktree.

Gratis

MIT

Sujood from Sudan: An Open Learner's Story

Sujood Khalid Eldouma recently relocated to the UK for her master’s studies, having previously lived in Egypt after fleeing her native Sudan to escape the devastating civil war in that country. Sujood holds a bachelor’s degree in electrical engineering from the University of Khartoum, but her ambitions extend far beyond the field she was trained in. She recently graduated from the MIT Emerging Talent certificate program in Computer and Data Science and is pursuing a MicroMasters in statistics and data science through the support of MIT Emerging Talent. In this episode, we hear how Sujood and her classmates at the university in Khartoum used MIT OpenCourseWare lecture videos as the basis of a group learning experience, in which knowledge was shared and lasting friendships were formed. We also hear how Sujood is pursuing her current online studies not just as a means of self-improvement but as part of the groundwork for a much bigger, future project: helping to rebuild Sudan’s educational and scientific infrastructure when peace comes to that country. “I'm not doing it just for myself,” she says. “I'm not doing it just for my family, but in the bigger picture and with a heart filled with hope.”The Open Learners podcast is produced by Alexis Haut and hosted by Emmanuel Kasigazi and Michael Jordan Pilgreen.Relevant Resources:MIT OpenCourseWareThe OCW Educator portalMIT Emerging Talent programMIT MicroMasters Program in Statistics and Data ScienceMusic in this episode by Blue Dot Sessions Share Your Open Learning StoryTo share your own open learning story with Michael and Emmanuel, send them an email at open_learners_pod@mit.edu. Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

Syllabus Checklist to Support Student Belonging & Achievement

The syllabus informs students’ first impressions of a class, the instructor, and their evaluation of whether they will succeed. Given the important role of the syllabus for students and for instructors’ intentional design of the course, this syllabus checklist is a tool to guide instructors in their construction and revision of course design, assessment descriptions, teaching practices, and policies in their syllabi. Many of the checklist items also apply beyond the syllabus to other communication channels in the course (e.g., Learning Management Systems, course wikis, classroom conversations). The checklist is adapted from a comprehensive and detailed rubric developed by members of MIT’s Teaching + Learning Lab.

Gratis

MIT

MIT Economist Andrew W. Lo on Finance, AI, and Human Behavior

In this the first of two pilot episodes of Chalk Radio with VIDEO, Professor Andrew Lo, who teaches finance at MIT’s Sloan School of Management, knows that many people find financial matters perplexing and scary. Lots of us don’t have a good head for numbers, and besides, how can one get advice and make sound decisions when it’s taboo to discuss one’s finances at all? That’s where a financial advisor is useful–someone who understands the concepts, can crunch the numbers, and has a fiduciary responsibility to look out for your best interests. For many people, hiring a financial advisor might be a financial impossibility, but Prof. Lo and his colleagues are working to develop an AI financial advisor that not only gives ordinary people access to sound financial advice, but acts with real fiduciary responsibility. Large language models can’t do this yet, he says, but the technology is developing fast. Other topics he touches on in this episode include the outsized influence of finance on drug development and global decarbonization and the equally outsized influence of teachers on their students–he names many who changed his own life, from his third-grade teacher in Queens to his professors at college and graduate school. Relevant Resources:MIT OpenCourseWareThe OCW Educator portalProfessor Lo’s faculty page15.401 Finance Theory I on MIT OpenCourseWare15.481x Adaptive Markets: Financial Market Dynamics and Human Behavior on MIT Open Learning Library15.482x Healthcare Finance on MIT Open Learning LibraryVideo version of this interview on YouTubeMusic in this episode by Blue Dot Sessions Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

MIT Programmer Ana Bell on Growth Mindset, Coding, and Rubber Ducks

Learn about Python, growth mindset, and the uses of rubber ducks in this interview with MIT lecturer Ana Bell. Dr. Bell, who has been programming since she was twelve and now teaches popular introductory courses in computer science, says that coding consists of almost equal parts creativity and logic. The creative part, she explains, gets exercised particularly when you have to come up with an algorithm to solve a given problem, because for any given complex problem there are many possible approaches to tackling it. The logical part comes into play when you sit down to translate that algorithm into an unambiguous sequence of rules in a programming language, and again when you discover that the code you’ve written doesn’t work exactly as you intended it to and you have to set about debugging it. Among the topics the conversation addresses are why everyone–even in the age of generative AI– ought to study at least the basics of programming, why it can be useful to speak to an inanimate object when your coding project is stuck in the debugging stage, and how programming can help you choose your own adventure. Relevant Resources:MIT OpenCourseWareThe OCW Educator portalDr. Bell’s faculty page6.100 L Introduction to Computer Science and Programming using Python on MIT OpenCourseWare6.0001 [now 6.100A] Introduction to Computer Science and Programming in Python on MIT OpenCourseWare6.0002 [now 6.100B] Introduction to Computational Thinking and Data Science on MIT OpenCourseWareGet Programming: Learn to Code with Python (book by Dr. Bell)Doodle Debug (coloring book by Dr. Bell)Video version of this interview on YouTubeMusic in this episode by Blue Dot Sessions Connect with UsIf you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! Call us @ 617-715-2517On our siteOn FacebookOn XOn InstagramOn LinkedInStay CurrentSubscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. Support OCWIf you like Chalk Radio and OpenCourseware, donate to help keep these programs going! CreditsSarah Hansen, host and producer Brett Paci, producer Dave Lishansky, producer Jackson Maher, producerShow notes by Peter Chipman

MIT

xTalk, April 29, 2025, Uncovering Student Perspectives on Course Concepts

Nancy L. Rose and Janis Melvold share how two different approaches—Plickers and workshops—engage students in conversation and challenge them to deepen their knowledge. Nancy L. Rose is Charles P. Kindleberger Professor of Applied Economics and MacVicar Faculty Fellow at MIT, and a Visiting Scholar at Harvard Kennedy School. Janis Melvold is a linguist and Lecturer II in Comparative Media Studies/Writing at MIT.

Gratis

MIT

Coming Soon: The Homework Machine

Generative AI is not like other education technologies, which schools often invite into the classroom. This one crashed the party. And then, it started re-arranging the furniture. We wanted to learn more, so in a little over a year, the Teaching Systems Lab has talked to over 90 teachers and 30 students about the impact of Generative AI. Some are excited about AI's potential to transform education for the better. Others are troubled by the temptations of a machine that can quickly and convincingly do many homework assignments. And some think AI is just a shiny object – a distraction from the much larger problems facing education.Over the next seven episodes, we'll try to answer the question: Is AI a game-changing tool, a threat to critical thinking, another ed tech fad? … or something else? Media requests can go to jpd009@mit.edu.

Gratis

MIT

The Homework Machine Ep 1 "Buckle Up, Here it Comes!"

In late November of 2022, ChatGPT was released to the public as a free research preview. Students quickly realized ChatGPT was pretty good at doing their homework for them. Schools scrambled to figure out what to do: Ban it? Embrace it? Teachers and students found themselves adapting to a new reality. Buckle Up, Here it Comes kicks off “The Homework Machine” a mini series in the Teachlab podcast. Hosts Jesse Dukes and Justin Reich share stories of teachers and students reacting to the arrival of an exciting, alarming, and strange new technology. Producer: Jesse DukesEditors: Ruxandra Guidi and Alexandra Salomon.Reporting and research: Holly McDede, Natasha Esteves, Andrew Meriwether, and Chris Bagg. Sound design and music supervision: Steven Jackson. Data analysis: Manee Ngozi Nnamani and Manasa Kudumu. Special thanks to Josh Sheldon, Camila Lee, Liz Hutner, and Eric Klopfer. Administrative support from Jessica Rondon. The research and reporting you heard in this episode was supported by the Spencer Foundation, the Kapor Foundation, the Jameel World Education Lab, the Social and Ethical Responsibility of Computing initiative at MIT, and the RAISE initiative, Responsible AI for Social Empowerment and Education also at MIT. Additional support from Google’s Academic Research Awards program. InTandem facilitated some of our student interviews. Full episode transcript.

Gratis

MIT

The Homework Machine Ep 2 "The Jagged Frontier"

ChatGPT is the most well known of the Large Language Models (LLMs) but what is an LLM? We go deep into how this remarkable new technology is built, and why their performance is inconsistent — or jagged — across similar tasks. We dive into the techniques AI engineers use to align these tools’ behavior with our values, and explain why they don’t always work, and sometimes we get hallucinations or biased output. This episode was produced by Steven Jackson and Jesse DukesEditing: Alexandra Salomon and Ruxandra Guidi Reporting and research from Holly McDede, Natasha Esteves, Andrew Parsons, Andrew Meriwether, Marnette Federis, and Chris Bagg.Sound design and music supervision by Steven Jackson. Production assistance from Yebu Ji and Nathan Ray. Data analysis from Manee Ngozi Nnamani and Manasa Kudumu. Special thanks to Josh Sheldon, Camila Lee, Liz Hutner, and Eric Klopfer. Administrative support from Jessica Rondon. The research and reporting you heard in this episode was supported by the Spencer Foundation, the Kapor Foundation, the Jameel World Education Lab, the Social and Ethical Responsibility of Computing initiative at MIT, and the RAISE initiative, Responsible AI for Social Empowerment and Education also at MIT. We had support from Google’s Academic Research Awards program. The Homework Machine is a program of the MIT Teaching Systems Lab, Justin Reich, director.

Gratis

MIT

The Homework Machine Ep 3 "The Duplicitous Nature of Humanity"

Teachers have all sorts of opinions about AI. Some are optimistic, some are pessimistic. But the most common topic that came up in our interviews was cheating.While students have always taken shortcuts to complete their work, ChatGPT and other generative AI have a historically unique power to quickly, convincingly and comprehensively do a students’ assignment. This is proving a powerful temptation to students.So how do teachers help their students make good decisions? Teachers know that schools have historically struggled to manage discipline fairly but they also recognize that letting students get away with cheating isn’t doing them a favor. Teachers share how they’re navigating the Scylla and Charybdis of school discipline in the AI age.Listen to a bleeped version of this episode (Coming soon!).Transcript coming soon!This episode was produced by Jesse Dukes with Yebu Ji.Editing: Alexandra Salomon and Ruxandra GuidiReporting and research from Natasha Esteves, Andrew Meriwether, Holly McDede, Andrew Parsons, Marnette Federis, and Chris Bagg.Sound design and music supervision by Steven Jackson.Production assistance from Nathan Ray.Data analysis from Manee Ngozi Nnamani and Manasa Kudumu.Special thanks to Josh Sheldon, Camila Lee, Liz Hutner, and Eric Klopfer.Administrative support from Jessica Rondon.Thanks to the teachers who spoke to us including Joe O'Hara, Alec Jensen, Schuyler Hunt, Anna Rose Pandey, Ray Salazar, and Jessica Petit-Frere. And thanks to all the teachers and students who partipated in our research.Thanks to Greer Murphy and Jessa Kirk, at UC Santa Cruz's Office of Academic Integrity. Check out Greer Murphy's co-authored survey of academic integrity policies.The research and reporting you heard in this episode was supported by the Spencer Foundation, the Kapor Foundation, the Jameel World Education Lab, the Social and Ethical Responsibility of Computing initiative at MIT, and the RAISE initiative, Responsible AI for Social Empowerment and Education also at MIT.We had support from Google’s Academic Research Awards program.The Homework Machine is a program of the MIT Teaching Systems Lab, Justin Reich, director.

MIT

The Homework Machine Ep 4 "Busted!"

Students tell us that they know learning in schools is important. But sometimes, turning to ChatGPT to get their work done feels like the best option. AI might help with what they perceive as busy work, or they might be confused about what counts as a legitimate use, and what counts as cheating.And sometimes, students tell us, they know they’re crossing a line. When that happens, it’s usually because they’ve hit a wall in the learning process, and generative AI presents a quick and easy way through the blockage. For teachers, there is no single, off the shelf solution, that will ensure students make wise decisions, but understanding why students turn to AI can be a helpful starting point.This episode was produced by Andrew Meriwether Jesse Dukes. We had editing from Ruxandra Guidi and Alexandra Salomon. Reporting and research from Natasha Esteves, Holly McDede, Andrew Parsons, Marnette Federis, and Chris Bagg. Sound design and music supervision by Steven Jackson. Production help from Yebu Ji. Data analysis from Manee Ngozi Nnamani and Manasa Kudumu. Special thanks to Josh Sheldon and Eric Klopfer. Administrative support from Jessica Rondon.Featured guests include Miriam Reichenberg, Kaitleen Evangelista, as well as anonymous students. Thanks to InTandem for facilitating interviews.Thanks to Greer Murphy and Jessa Kirk, at UC Santa Cruz's Academic Integrity Office. Check out Greer Murphy's co-authored survey of academic integrity policies.Original music for this series was created by Steven Jackson, Andrew Meriwether and Jesse Dukes, as part of the music project Cue Shop. Thanks to Will Grueb, Andy Wilds, and the MIT Music Department for letting us use the MIT Harpsichord.The research and reporting you heard in this episode was supported by the Spencer Foundation, the Kapor Foundation, the Jameel World Education Lab, the Social and Ethical Responsibility of Computing initiative at MIT, and the RAISE initiative, Responsible AI for Social Empowerment and Education also at MIT.We had support from Google’s Academic Research Awards program.

MIT

Mindshift: Why Poetry Is Making a Comeback in Schools

We’re about halfway through The Homework Machine min-series, and we have more episodes coming. We're taking a break this week, which gives us the opportunity to share an episode of one of our favorite education podcasts with you.Mindshift from KQED features in depth interviews and reports from classroom about education and educators. We particularly enjoy this episode about a shift to teach contemporary poets, alongside the classics.Hanif Abduraqqib. Sarah Kay. Elizabeth Acevedo. Clint Smith. Do any of these names sound familiar? How about Amanda Gorman? All of these writers are part of America’s thriving contemporary poetry scene. But you won’t find them in many text books, because high school poetry units tend to focus on dead poets, like Robert Frost, Walt Whitman and Edgar Allen Poe. North Carolina teacher Melissa Smith is working to change that. For the last seven years, she’s been diversifying the canon in her classroom, and encouraging other teachers to do the same with the hashtag #teachlivingpoets. The shift has inspired teachers across the country to get creative with how they teach students things like tone, rhythm and structure in poetry. And it’s inspired students to connect with and see reflections of themselves in the poets they study.We have more episodes of the Homework Machine coming in a little over a week. In the meantime, please take our listener survey. (We'll enter you in a drawing to win a $25 gift card).https://forms.gle/KwPGTeVYZh2mo6gF7

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MIT

The Homework Machine Interlude: Justin Goes Back to School

We’re halfway through “The Homework Machine” series, and as our production team works to finish the final episodes, we check in with Teaching Systems Lab director Justin Reich, who is returning to the classroom after a full year of sabbatical. Justin has been nervous, since some of the assignments he’s relied on in the past are not “AI-proof”. He tells us how he plans to adapt, We want to share A Guide to AI in Schools: Perspectives for the Perplexed the guidebook authored by TSL, based on the interviews we conducted for “The Homework Machine”. Justin is a fan of these protocols for evaluating student work:

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MIT

The Homework Machine Ep 5 "Winterset"

Education technology companies have been falling over themselves to provide AI powered tools for schools, and to convince schools to buy their product. The array of AI powered products is dizzying, and while some can likely be put to good use, it can be hard for school leaders to gauge which are worth adopting. One school system in Iowa, Winterset Community School District has gone all in on generative AI, piloting at least three AI powered products and encouraging faculty and students to experiment with AI. They kindly let us visit for a week, and we dive in to see what they’re excited about, and what has been challenging. This episode was produced by Andrew Meriwether and Jesse Dukes. We had editing from Ruxandra Guidi and Alexandra Salomon. Reporting and research for the Homework Machine from Natasha Esteves, Holly McDede, Andrew Parsons, Marnette Federis, and Chris Bagg. Sound design and music supervision by Steven Jackson. Production help from Yebu Ji. Data analysis from Manee Ngozi Nnamani and Manasa Kudumu. Special thanks to Josh Sheldon and Eric Klopfer. Administrative support from Jessica Rondon. Thanks to Chad Sussex and everybody at Winterset who spoke to Andrew Meriwether. We’re happy to share that AI Express: Leading the Future of Learning — written by Chad Sussex and Sandy Groom-Meeks, who guided the AI journey for Winterset — is now available. This book offers school leaders and educators a practical roadmap for safely and effectively implementing AI in schools. Find the book here: https://bit.ly/AIExpress_AmazonOriginal music for this series was created by Steven Jackson, Andrew Meriwether and Jesse Dukes, as part of the music project Cue Shop. Thanks to Will Grueb, Andy Wilds, and the MIT Music Department for letting us use the MIT Harpsichord. The research and reporting you heard in this episode was supported by the Spencer Foundation, the Kapor Foundation, the Jameel World Education Lab, the Social and Ethical Responsibility of Computing initiative at MIT, and the RAISE initiative, Responsible AI for Social Empowerment and Education also at MIT. We had support from Google’s Academic Research Awards program.

MIT

The Homework Machine Ep 6 "Inviting AI to the Party"

We keep saying that most ed tech is invited into schools, but generative AI crashed the party. But the truth in, some teachers have invited AI into schools. Some think it’s been great, and others see opportunities as well as challenges. We visit four classrooms where students and teachers are using AI in ways they say are innovative, fulfilling, and effective: a student in Oregon who worked with her teacher to expand the scope of her assignments with AI; a Southern California instructor using AI to bypass busywork and focus on the creative aspects of filmmaking; a teacher in Illinois deploying AI to provide targeted feedback; and, finally, a former engineer whose students use AI coding tools to make circuitboards…play Rick Astley? And we ask the question: What are the human teachers doing to create conditions in which AI can support learning? This episode was produced by Jesse Dukes. We had editing from Alexandra Salomon and Ruxandra Guidi. Reporting and research from Chris Bagg, and Andrew Parsons. Additional reporting from Andrew Meriwether, Holly McDede, Natasha Esteves, and Marnette Federis. Sound design and music supervision by Steven Jackson. Thanks to Jerry Shaw for digging up some of those Arduino Uno songs. The “Uptown Funk” was a simulation, created in our studios. Production help from Yebu Ji. Data analysis from Manee Ngozi Nnamani and Manasa Kudumu. Administrative support from Jessica Rondon. Special thanks to Josh Sheldon and Eric Klopfer. Original music for this series was created by Steven Jackson, Andrew Meriwether and Jesse Dukes, as part of the music project Cue Shop. Thanks to Will Grueb, Andy Wilds, and the MIT Music Department for letting us use the MIT Harpsichord.The research and reporting you heard in this episode was supported by the Spencer Foundation, the Kapor Foundation, the Jameel World Education Lab, the Social and Ethical Responsibility of Computing initiative at MIT, and the RAISE initiative, Responsible AI for Social Empowerment and Education also at MIT.We had support from Google’s Academic Research Awards program.

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