{"id":2781,"date":"2023-03-21T17:03:25","date_gmt":"2023-03-21T17:03:25","guid":{"rendered":"https:\/\/groups.cs.umass.edu\/pit\/?p=2781"},"modified":"2023-03-21T17:16:12","modified_gmt":"2023-03-21T17:16:12","slug":"march-24-event-chatgpt-and-education-hype-versus-reality","status":"publish","type":"post","link":"https:\/\/groups.cs.umass.edu\/pit\/2023\/03\/21\/march-24-event-chatgpt-and-education-hype-versus-reality\/","title":{"rendered":"March 24 Event | ChatGPT and Education: Hype Versus Reality"},"content":{"rendered":"\t\t
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In a few short months, many of us have heard of or tried ChatGPT, the large language model (LLM) that generates coherent texts on demand in a broadly accessible chat interface. Many opinions have been voiced about ChatGPT and other natural language intelligence systems, and crucially, how they may affect education and teaching in practice. Are LLMs an unstoppable force for cheating, a powerful tool for learning, or all or none of the above?
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In this panel we’ll bring together multidisciplinary, research-based perspectives on these topics \u2014 UMass professors and an alum who are world-leading experts in the large language models, the impact of technology on education, and social implications of language technologies.\u00a0 In the question period, we invite community members to share examples of what they’ve seen from ChatGPT in practice.\u00a0 What have we learned about these issues, and what plans, if any, should we have going forward?<\/p>

Panelists:<\/strong><\/b>
Torrey Trust<\/a>\"\"<\/a> is Associate Professor of Learning Technology in the Department of Teacher Education and Curriculum Studies in the College of Education at UMass Amherst. She is the author of a popular presentation on ChatGPT & Education<\/a>. More broadly, her work investigates how technology can support teachers in designing contexts that enhance student learning, and critically examines the relationships between teaching, learning, and technology. She is the winner of research and teaching awards including the APEX 2021 Award for Publication Excellence, the Outstanding Teaching Award at the College of Education, and the ISTE Making IT Happen Award for “extraordinary commitment, leadership, courage and persistence in improving digital learning opportunities for students.\u201d She completed her PhD in Education (Teaching & Learning) at the University of California Santa Barbara in 2014.\u00a0

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Mohit Iyyer<\/a>\"\"<\/a> is Assistant Professor in the College of Information and Computer Sciences at UMass Amherst. His natural language processing research develops methods to better model and evaluate long-form natural language generation, including human-in-the-loop text generations systems to help authors compose text, such as fictional narratives. His research has been recognized by the Samsung AI Research of the Year and National Science Foundation CAREER awards and is supported by Open Philanthropy, Adobe, IBM, and NSF among others. He completed his PhD in 2017 at the University of Maryland and served as Young Investigator at the Allen Institute for AI.<\/p>

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Su Lin Blodgett<\/a>\"\"<\/a> is Senior Researcher in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group at Microsoft Research Montr\u00e9al. She studies the ethical and social implications of language technologies, developing approaches for anticipating, measuring, and mitigating harms. Her work focuses on the complexities of language and language technologies in their social contexts, and on supporting NLP practitioners in their ethical work. She has been named one of 100 Brilliant Women in AI Ethics, and Rising Star in EE\/CS. She completed her Ph.D. in computer science from UMass Amherst in 2021.<\/p>

The panel is moderated by Brendan O’Connor<\/a>, an Associate Director of the Computational Social Science Institute.<\/p>

This panel is co-organized by the\u00a0Computational Social Science Institute (CSSI)<\/a>,\u00a0Institute for Social Science Research (ISSR)<\/a>, and\u00a0Public Interest Technology Initiative (PIT @ UMass)<\/a>.<\/p>

CSSI<\/a>\u00a0is a diverse interdisciplinary community using computational models and methods to help us understand the social world. CSSI hosts periodic talks and workshops related to current events and longer-term research in computational social science. \u00a0To be notified of these events directly, please subscribe to CSSI-events by sending email to cssi-events-subscribe@cs.umass.edu. As always, please share this information with others who might be interested, and to get in touch with us if interested in being a CSSI affiliate. See the\u00a0CSSI webpage<\/a>\u00a0for details and future events.<\/p>

ISSR<\/a>\u00a0provides resources and support for researchers using social science methods, seeking to take part in collaborative and interdisciplinary research, doing publicly engaged research, and seeking external funding for research. \u00a0Learn more about ISSR and join our mailing list to be notified of events and programs, starting on our\u00a0home page<\/a>.<\/p>

PIT<\/a>\u00a0focuses on the development and realization of socially responsible solutions to the challenges of a technology-driven world. It serves as a critical foundation for 21st century education, for people who create technologies, and for those who work with them, which is all of us.<\/p>

This event takes place on Friday, March 24 from 12:00-1:00pm.<\/strong><\/p>

Register here<\/strong><\/a>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tEnvelope<\/span>\n\t\t\t\t\t\t<\/i>\t\t\t\t\t<\/a>\n\t\t\t\t<\/span>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

In a few short months, many of us have heard of or tried ChatGPT, the large language model (LLM) that generates coherent texts on demand in a broadly accessible chat interface. Many opinions have been voiced about ChatGPT and other natural language intelligence systems, and crucially, how they may affect education and teaching in practice. 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