This post is the third in the Beyond ChatGPT series about generative AI’s impact on learning. In the previous posts, I discussed how generative AI has moved beyond text generation and is starting to impact critical skills like reading and note-taking. In this post, I’ll cover how the technology is marketed to students and educators to automate feedback. The goal of this series is to explore AI beyond ChatGPT and consider how this emerging technology is transforming not simply writing, but many of the skills we associate with learning. Educators must shift our discourse away from ChatGPT’s disruption of assessments and begin to grapple with what generative AI means for teaching and learning.

ChatGPT & Education Designed by Torrey Trust, Ph.D. College of Education University of Massachusetts Amherst @torreytrust | torrey@umass.edu This work is licensed under CC BY NC 4.0, meaning that you can freely use, remix, and share it as long as you give attribution and do not use it for commerc...

As a former secondary English teacher, senior examination assessor, and lecturer for initial teacher education, I understand the allure of using Generative AI (GenAI) for grading student work. We&#…

Days after former employees said the company was being too reckless with its technology, OpenAI released a research paper on a method for reverse engineering the workings of AI models.

Google’s AI feature bumped my article down on the results page, but the new AI Overview at the top still referenced it. What gives?