Data Science Discussions: Generative AI in the Classroom скачать в хорошем качестве

Data Science Discussions: Generative AI in the Classroom

How are generative AI tools impacting the way that educators are thinking about curricula and assessing student competencies? Panelists: Lance Eaton - Director of Faculty Development & Innovation at College Unbound, part-time instructor at North Shore Community College, and Ph.D. student at the University of Massachusetts Amanda Ellis - Vice Chair for the Department of Biostatistics and Director of Graduate Studies of the Master of Science in Biostatistics program at the University of Kentucky College of Public Health Anna Mills - instructor at Cañada College and author of the OER textbook, "How Arguments Work" Read a summary of key takeaways from the panel: https://academicdatascience.org/resou... About ADSA: The Academic Data Science Alliance is a community for academic data science leaders, practitioners, and educators who take responsibility for a just and equitable future of data science, where data science approaches are thoughtfully applied in all domains for the benefit of all. Learn more about ADSA: https://academicdatascience.org/ Timestamps: 00:00 - ADSA introduction 00:30 - Lance Eaton introduction 01:04 - Amanda Ellis introduction 01:31 - Anna Mills introduction 02:18 - How are GAI tools being used by college instructors? 08:25 - Potential risks and drawbacks of using GAI tools 12:58 - Ethical concerns among students 22:06 - How do the challenges and opportunities concerning GAI differ between disciplines? 34:23 - How can faculty advocate for a collaborative approach to creating AI policies? 42:32 - Concerns about intellectual property and content being scraped by GAI tools 49:15 - What is the future of GAI tools in higher ed?