The Educator’s conundrum:
Balancing AI Advantages with Educational Integrity
Webinar for Al Akhawayn University
October 08, 2024
Embedded Files
Facilitator
Facilitator
Lew Ludwig
Lew Ludwig
Dr. Ludwig is a Professor of Mathematics and the director of the Center for Learning and Teaching. at Denison University. He is a nationally recognized speaker on generative AI, leading numerous webinars and workshops for the MAA, POD, and the GLCA. His work includes serving as a project leader on the MAA Instructional Practice Guide and presenting innovative teaching strategies at various national conferences.
Example prompt chats with ChatGPT
AI with and for your students
Ryan Watkins provides an adaptive survey you can use with students to determine what AI use is permissible or not in your classes.
July 27, 2023.
Editable surveys for you and your students
Editable surveys for you and your students
Its important to talk to your students about appropriate AI usage. Below are two editable Google Form surveys you can use with your students to begin these conversations. You will need to be logged into a Google account. Don't like these examples, use AI to help generate new ones. Here is a prompt to help get you started.
Calculus: You can make an editable copy of this Google form to create a progressive scale of student AI usage on a related rates assignment. Here is a list of prompts for each scale level students can use.
Intro to proofs: You can make an editable copy of this Google form to create a progressive scale of student AI usage on an equivalence relation assignment. Here is a list of prompts for each scale level students can use.
The importance of the liberal arts in the age of AI
Enjoy Joshua Rothman’s excellent article, "What Does It Really Mean to Learn?" in The New Yorker. Rothman explains into "educability"—the deep, ongoing human capacity to learn, contrasting sharply with the limitations of artificial intelligence. This piece explores the beautiful, often messy process of human learning, where knowledge isn't just acquired but woven into the rich tapestry of our experiences and insights. Read the article or listen to the nine-minute audio for a compelling perspective on the unique nature of human intellect. From a SLAC? Be sure to catch the "mic drop" sentence at the end.
Some useful blogs to follow
Recent pieces on AI
How Colleges Are Reimagining Learning in an AI World
How colleges are integrating AI into the curriculum, teaching students how to use it effectively while addressing ethical concerns and reshaping learning for an AI-driven future.
AI and the Case for Project-Based Teaching
In the age of ChatGPT, faculty members have no choice but to adjust course design from a focus on “what” to “why.” by Chad Raymond
Why We Should Normalize Open Disclosure of AI Use
It’s time we reclaim faculty-student trust through clear advocacy — not opaque surveillance. by Marc Watkins
In Teaching With Gen AI, Consider Sustainability
Faculty lack information about generative AI’s environmental impacts, and universities should prioritize sustainable computing, Susanne Hall writes.
A useful guide when considering AI Literacy
An excellent resource for both students and faculty, this student guide by Elon University and the AAC&U is designed to navigate college life in the AI era. Freely available, it offers practical advice on using AI responsibly and enhancing academic and career journeys. Access it at studentguidetoai.org to start leveraging AI effectively in your educational and professional endeavors.
The mathematics behind LLMs
A MUST FOR ALL MATH STUDENTS!
This is a continuation of the Neural Networks series, which introduces the mathematics and deep learning involved in transformers and their prerequisites.
3Blue1Brown April, 2024
A five part series from 2017 explaining neural networks, how they are trained and the concept of backpropagation. Requires a basic understadning of linear algerbra and mulit-variable calculus.
3Blue1Brown October, 2017
Some Technical Things to Consider with Generative AI
A visual walk-through of how this type of artificial intelligence work by Seán Clarke, Dan Milmo, and Garry Blight, The Guardian, November 1, 2023
Harvard Business School
Harvard Business School
The article explores how AI like GPT-4 can boost or trip up the work, depending on the task at hand. It's a deep dive into when AI is a help and when it's not!
September, 2023
MIT Technology Review
MIT Technology Review
The article explores the remarkable and puzzling capabilities of large language models, which can perform impressive feats of generalization and reasoning that defy traditional statistical understanding, leaving AI researchers scratching their heads about the underlying mechanisms that drive these models' success.
March, 2024
Books on AI and Teaching
An essential guide for educators on using AI as a transformative co-worker, co-teacher, and coach.
April, 2024
Offers educators a comprehensive and practical roadmap to effectively integrate AI into their teaching practices, addressing both the opportunities and challenges posed by AI, and equipping them with the tools to enhance learning, maintain academic integrity, and adapt to the rapidly evolving educational landscape.
Authored by Kevin Yee, Erin Main, Laurie Uttich, and Liz Giltner from the University of Central Florida, 50+ AI Hacks for Educators (.PDF), explores the urgent need for educators to understand and integrate Generative AI into their teaching, offering practical insights and strategies to enhance engagement and ensure students are well-equipped to use AI effectively in their careers.
July, 2024
Generative AI and Your Research
GenAI tools have transformed the landscape of research, providing new
methods for data collection, analysis, and interpretation. Here is a list of
cutting-edge GenAI applications designed to enhance efficiency and
creativity in research endeavors.
A Possible Way Forward: Alternative Grading and AI
In the age of generative AI, our educational practices are undergoing significant transformations. This technology compels us to reassess not just what and why we teach but also how we evaluate student learning. I believe one approach will be alternative grading methods, such as standards-based grading or contract grading, to better align with the evolving educational landscape. These approaches encourage a deeper, more personalized engagement with the material, creating a learning environment where students are motivated by curiosity and understanding rather than pursuing traditional grades.
edited by Susan D. Blum (2020) - This collection of essays by various educators discusses the drawbacks of traditional grading and provides practical advice on implementing ungrading practice.
by David Clark and Robert Talbert (2023) - This book critiques traditional grading systems and explores alternative grading methods like specifications grading and ungrading. It includes case studies and a workbook for designing alternative grading systems
by Linda B. Nilson (2014) - This book introduces specifications grading, a system that focuses on meeting specific criteria rather than accumulating points. It aims to restore rigor and motivate students while saving faculty time
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