Authors: Tiffany Barnes Key Ideas Education researchers and developers across the country are frequently faced with the question of how to go about ensuring that the educational technology they are studying and creating is equitable for learners, teachers, and communities. It can be a complex assignment to embed in one’s work, which I am very … Read more
Authors: Dr. Ashwin T S Key Ideas Tackling Bias in Emotion Recognition: Enhancing Fairness in Education As educators and researchers increasingly rely on artificial intelligence (AI) to enhance teaching and learning, ensuring these technologies are fair and unbiased has never been more critical. AI-driven systems, particularly those used to recognize student emotions, have the potential … Read more
By Jeremy Roschelle Key Ideas: On August 9, 2023, the National Science Foundation funded EngageAI Institute invited a national group of 80 educational practitioners, researchers, developers and funders to a day-long forum held at the Computer History Museum in Mountain View, California. As the day began, educators voiced excitement, uncertainty, and risk about Artificial Intelligence … Read more
By Jeremy Roschelle Jeremy Roschelle chats with Satabdi Basu and Nikhil Kandpal about what people need to know about large language models and the opportunities or challenges that they present for education. Key Ideas: Introductions Satabdi Basu: I’m a computer scientist by training, and I work as a computer science education researcher at SRI International. I think about the challenges … Read more
Jeremy Roschelle chatted with Ole Molvig and Collin Lynch about ethical considerations associated with designing and using artificial intelligence (AI) in education, in the context of their shared work at the Engage AI Institute.
Josh Weisgrau, Digital Promise’s Chief Learning Officer for Experience Design, chats with Krista Glazewski, Department Chair and Professor of Instructional Systems Technology at University of Indiana, and Corey Brady, Assistant Professor of the Learning Sciences at Vanderbilt University, on connections between the potential for applications of AI in K-12 education that might be deliberately designed to support learner variability and equitable outcomes for learners.
Deblina Pakhira, research manager of Digital Promise’s Learning Sciences Research, chats with Anne Leftwich and Min Chi about their visions for how artificial intelligence (AI) will be studied and implemented, as well as how AI can support educators, including their work at the Engage AI Institute.