AI and Higher Education: AI and Teaching

Teachers can use artificial intelligence tools like ChatGPT to generate rich math tasks and differentiate instruction.----June 16, 2023

Aug 2023--In recent months, the topic of generative AI has taken over higher education. Since the launch of OpenAI’s ChatGPT in late 2022, hundreds of generative AI technologies have come on the scene, available for students to use despite being built outside of an educational context and posing risks for students who rely on them. As these technologies open the door to unlimited possibilities in EdTech, it’s important to use these tools the right way.

Aug 3, 2023

January 24, 2024--This is a previously recorded webinar.

January 24, 2024---The tech holds great promise. Not everybody is sold just yet, says and article from the Chronicle

January 29, 2024

January 11, 2024---

Jan

Sal Khan believes that artificial intelligence (AI) has the potential to transform education for the better. “We’re at the cusp of using AI for probably the biggest positive transformation that education has ever seen,” he said in his 2023 TED talk.

by Jesse McDowell, Instructional Designer, CETL, Texas Wesleyan University

Excite and empower students with crucial AI literacy lessons

Cornell University--Center for Teaching Innovation

This is a wakelet created by Stephanie Galvin Russell,

JUN 12, 2023

Montana State University

NC State University

This is a document in Google Docs that contains sections on What are some common uses for ChatGPT, How can AI tools like ChatGPT contribute to learning, 15 Ways to Use ChatGPT as an Instructional Designer, Instructor, and Teacher, How to keep students from cheating with AI, and a list of other AI tools that can be used in learning.

Montana State University

University of Oxford

Chatbots are able to produce high-quality, sophisticated text in natural language. The authors of this paper believe that AI can be used to overcome three barriers to learning in the classroom: improving transfer, breaking the illusion of explanatory depth, and training students to critically evaluate explanations. The paper provides background information and techniques on how AI can be used to overcome these barriers and includes prompts and assignments that teachers can incorporate into their teaching. The goal is to help teachers use the capabilities and drawbacks of AI to improve learning

This paper provides guidance for using AI to quickly and easily implement evidence-based teaching strategies that instructors can integrate into their teaching. We discuss five teaching strategies that have proven value but are hard to implement in practice due to time and effort constraints. We show how AI can help instructors create material that supports these strategies and improve student learning. The strategies include providing multiple examples and explanations; uncovering and addressing student misconceptions; frequent low-stakes testing; assessing student learning; and distributed practice. The paper provides guidelines for how AI can support each strategy, and discusses both the promises and perils of this approach, arguing that AI may act as a “force multiplier” for instructors if implemented cautiously and thoughtfully in service of evidence-based teaching practices.

From the teaching + LearningJ Lab of MIT Blog by Janet Ranklin,

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