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Artificial Intelligence (AI) Learning Resources from MIT

AI in Education

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Considering AI in education is vital because it can help bridge educational gaps, providing resources and opportunities to underserved communities. AI has the potential to revolutionize how we teach and learn by personalizing learning experiences, making education more accessible and tailored to individual needs. It can also support teachers by automating administrative tasks, allowing them to focus more on student engagement and creative teaching methods. By thoughtfully integrating AI into education, we can enhance learning outcomes and prepare students for a future where technology plays a central role in society.
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Resource Suggestions

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Generative AI + Education: Reinventing the Learner Experience from MIT Generative AI Week 2023

MIT
A panel discussion led by various experts from MIT, including PhD students, faculty members, and graduate students. They explore the integration and implications of AI and generative AI in education, with a particular focus on education, diversity, and equity, the role of AI in physics and other STEM fields, and the future of digital learning. This discussion provides valuable insights into the innovative ways AI is being integrated into education, the ethical considerations involved, and the potential for AI to democratize learning on a global scale.
Some Highlights to Explore:
Randy Williams: Introduces Sparky, an AI tool for K-12 education, emphasizing creative and ethical thinking in AI projects (0:00-7:30).
Jesse Thaler: Discusses the use of generative AI in physics research and education, highlighting the potential for new teaching methodologies (9:38-18:55).
Student Perspectives: Rachel Haraki and David Koplew share their experiences with generative AI tools like ChatGPT in their academic work, discussing ethical implications and benefits (19:04-27:27).
Anjali Sastry: Focuses on the global implications of AI in education, addressing access challenges and the importance of inclusion (27:31-36:03).
LINK:
https://youtu.be/k68m0ifhPvA?si=Wg-XrLtZW7vByUYG
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Getting Started with AI-Enhanced Teaching: A Practical Guide for Instructors

MIT Sloan
The MIT Sloan guide "Getting Started with AI-Enhanced Teaching" offers practical advice for instructors on leveraging generative AI tools in education. It covers foundational knowledge, AI tools, ethical considerations, and AI-powered teaching strategies. Key highlights include using AI for generating examples, creating practice quizzes, and visual summaries, as well as maintaining data privacy and addressing AI biases. The guide also emphasizes combining AI with human expertise to enhance learning experiences.
LINK:
https://mitsloanedtech.mit.edu/ai/teach/getting-started/
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MIT Sloan Education Tech website Thumbnail
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MIT's Anant Agarwal on AI in Education, The AI Podcast - Ep. 197

This podcast episode features Anant Agarwal, the founder of edX at MIT. You’ll hear insightful discussions about the intersection of AI and the future of education. Anant, who was also a long-time MIT professor and former director of MIT's Computer Science and Artificial Intelligence Laboratory, provides a unique perspective rooted in both academia and digital learning.
They cover the changing landscape of AI in education, this conversation provides a great overview. Anant’s discussion of non-traditional learners and the demand for upskilling around minute 4, the comparison of degrees vs micro-credentials and the power of “and” thinking around minute 5, the parallels between the AI revolution and other historical technological shifts around minute 8, and the new AI-powered products that edX is rolling out (ChatGPT plugin and edX Expert) around minute 9 are especially useful.
LINK:
https://soundcloud.com/theaipodcast/edtech?utm_source=blogs.nvidia.com&utm_campaign=wtshare&utm_medium=widget&utm_content=https%253A%252F%252Fsoundcloud.com%252Ftheaipodcast%252Fedtech
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"AI Detectors Don’t Work. Here’s What to Do Instead" – MIT Sloan

MIT Sloan
This webpage discusses the inefficacy of AI detection software in educational settings, especially with their high error rates and potential for falsely accusing students. Instead, they recommend fostering academic honesty through clear policies, promoting transparency, engaging in dialogue, designing motivating assignments, and ensuring inclusive teaching methods. Some great resources are included
LINK:
https://mitsloanedtech.mit.edu/ai/teach/ai-detectors-dont-work/
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MIT Sloan Education Tech website Thumbnail
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"Ethics of AI Bias: Chapterized Video and Study Guide"

MIT OCW
Offers a detailed exploration of AI bias, in course format, particularly focusing on the limitations of algorithmic solutions to ethical issues. The course, led by Prof. Bernhardt Trout and Prof. Svetozar Minkov, includes dramatized classroom discussions and case studies on recidivism, financial services, facial recognition, and autonomous vehicles. Key sections include intrinsic limitations of mathematical solutions, the tension between ethics and mathematics, and the problem of equality.
LINK:
https://ocw.mit.edu/courses/res-10-002-ethics-of-ai-bias-spring-2023/pages/chapterized-video/
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Media Literacy in the Age of Deepfakes: A full learning module

MIT Center for Advanced Virtuality
The MIT Center for Advanced Virtuality's "Media Literacy in the Age of Deepfakes" module equips students to understand and combat misinformation, focusing on deepfakes. The course includes defining misinformation, understanding deepfakes, and exploring synthetic media for civic purposes. A key case study is "In Event of Moon Disaster," a deepfake art project about a hypothetical Apollo 11 failure. Educator resources include a bibliography, syllabus, and design prompts.
LINK:
https://deepfakes.virtuality.mit.edu
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Background of Media Literacy in the Age of Deepfakes
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