Today ChatGPT4o (the o stands for “omni” apparently š¤·š¼āāļø) 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 next post in the shared blogging experiment with Punya Mishra and Nicole Oster. This time we question what and how we should be teaching about generative AI. The core idea and first draft came from me, to which Punya and Nicole added revisions and edits. The final version emerged through a […]
Note: Featured image made with Adobe Firefly 3. I’ve written a fair number of posts lately where I’ve explored my experiences with large language models, like ChatGPT, and questioned whether what was happening was a “new” type of learning or simply an amplified or enhanced process that is basically the same as the other learning […]
*Cover image of me learning with a computer in a fairy tale created (obviously) with AI…Adobe Firefly, to be exact. I’ve been thinking a lot about what learning with generative AI is or could be. Is it different from other ways we learn? Does it call for a whole different theory of learning, or is […]
Note: The shared blogging experiment with Punya Mishra andĀ Nicole OsterĀ continues. This time we delve into metaphors of the mind, technology and generative AI.Ā The core idea and first draft came from me, to which Punya contributed a substantial rewrite. The final version emerged through a collaborative process between all three. The featured image above was created […]
Note: This is the first post in an experiment at shared blogging by Punya Mishra,Ā Nicole OsterĀ 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 […]
GenAI is weird. It is not human, but it can sound like it. It is very confident in its errors but, when confronted, quick to apologize…and repeat the same errors again. It could be seen as a synthesis of the internet (good, bad, and ugly) but with human guardrails that attempt to fix the ugly […]
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 […]