Lately I’ve felt like I’m living in parallel universes. On one hand, I am trying to get the word out of the bias in GenAI, the problems that can cause, and the caution we should be using when these technologies are applied in educational contexts. For example, ChatGPT 3.5 provides lower average writing scores when […]
I have the honor of sharing some ideas about teaching, learning, and AI with New Mexican Educators Rising members at the 2024 Conference. Here are some concepts and resources that might be useful. Ideas for using LLMs in Learning Ideas for using LLMS in Teaching Additional Resources Videos Santa Fe Institute: The Future of Artificial […]
Access resources here! Bad Audio of All Presentations: Bias in LLMs: It’s Not What You Think Full Paper: Warr, Melissa and Oster, Nicole Jakubczyk and Isaac, Roger, Implicit Bias in Large Language Models: Experimental Proof and Implications for Education (November 6, 2023). Available at SSRN: https://ssrn.com/abstract=4625078 or http://dx.doi.org/10.2139/ssrn.4625078 Beyond Cheating: Using LLMs in Teaching and Learning Higher Ed […]
Note: Post image created with Adobe Firefly. I’ve been thinking about what education should and shouldn’t be, particularly with the flood of AI talk. How we use technological tools for teaching and learning has been a major area of research for decades, but not much has actually changed in schools. I recently read an article […]
Image (including embedded bias) created by ChatGPT 4 and Dall-E 3. Last week I wrote a post about the bias in ChatGPT–specifically how it adjusts writing scores in response to student descriptions. I illustrated how ChatGPT 3.5 scored a writing passage higher when it was told the imaginary writer preferred classical music, and lower for […]
*Cover image created with ChatGPT4, Dall-E3, and Adobe Firefly I recently had a discussion about “generative learning.” It was a phrase I hadn’t heard before. A bit of research and I found it that it is, indeed, a thing–and it was a thing before the generative AI shockwave of 2022. Although it was interesting to […]
Sometimes my attempts to understand ChatGPT go down strange paths. While talking with a friend about bias in AI yesterday (yes, this occurs frequently in my life), college rivalries came up. And what could be cooler than having ChatGPT confirm my firm belief that Brigham Young University is superior to the University of Utah? In […]
Note: Cover image (including embedded racial bias) from Dall-E 3 via ChatGPT4.0 I’ve been doing some random tests with ChatGPT and other large-language models (LLMs) (some perhaps a bit more meaningful than last week’s Benford’s Law…). Today’s exploration: If I tell ChatGPT that something is written by a student who likes rap music–vs classical music–will […]
While on a walk the other day, I was listening to a (rebroadcasted) episode of RadioLab: During the episode, they discuss Benford’s Law–that in many contexts, there are more numbers that start with lower digits (1, 2, etc.) than higher digits (8, 9, etc.): This law holds for river length, population growth, stock prices, and […]
Cover image courtesy of Punya Mishra We (Punya Mishra, Rezwana Islam, and I) just published a new article in the Journal of Digital Learning in Teacher Education. The article considers the meaning of TPACK in a world of generative AI. We particularly wanted to emphasize the need of teachers to develop contextual knowledge. It was […]