Finally! Nicole Oster, Roger Isaac and I wrote this article last October. It took some work finding the right home for it, and we have published (or have under review) some more updated studies, but it this original manuscript is officially out! Warr, M., Oster, N. J., & Isaac, R. (2024). Implicit bias in large […]
After a bit of a hiatus from blogging (life happens), I’m back! We each have our own way of speaking that originates from where we come from–some of these differences are more distinct and systematic than others. What does this mean for how LLMs respond to us? And to our students? A few weeks ago, […]
Note: This is a continuation of the shared blogging of Warr, Mishra, and Oster. In this post, Melissa wrote the first draft to which Punya and Nicole added substantial revisions and edits. “Science” is social. We build on each other’s ideas. We critique each other’s ideas. And that’s how these ideas get refined; and, hopefully, […]
Note 1: We have written a follow-up post that delves deeper into the “racist” vs “biased” responses- Racist or Just Biased? It’s Complicated Note 2: The shared blogging with Punya Mishra and Nicole Oster continues. Punya crafted the student essay and I generated and analyzed the data. Punya wrote the first draft which was then edited […]
Today ChatGPT4o (the o stands for “omni” apparently 🤷🏼♀️) was helping me summarize some research I was working on. I gave it some slides of what I was analyzing and, after a few back-and-forths, it told me this: Overall, these differences highlight an evolution in the significance and influence of demographic and socioeconomic variables between […]
Note: This is the first post in an experiment at shared blogging by Punya Mishra, Nicole Oster and myself. Over the past months we have found ourselves engaged in some fascinating conversations around genAI, education, bias and more. This shared blogging experiment is an attempt to take some of these conversations and move them into this sharable […]
An important feature of a learning machine is that its teacher will often be very largely ignorant of quite what is going on inside. A. M. Turing, Computing Machinery and Intelligence, 1950 Last week at the SITE conference, I talked with Katrina Tour from Monash University about her work with refugees in Australia. She is […]
I thoroughly enjoyed attending the 2024 Society for Information Technology and Teacher Education conference in Las Vegas, Nevada last week. Great people, great ideas. New and old friends. A quick recap: Friends! The best part of this conference was meeting up with some great friends from Arizona State, New Mexico State, and Monash Universities. (including […]
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 […]