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AI in Academia: Navigating the Future
Professor Noah Giansiracusa and Gaurav Shah
18 episodes
1 month ago
Nathan Carter, Professor of Mathematical Sciences and Director of the Center for Analytics and Data Science at Bentley University, joins the podcast to share his current research on whether AI can accurately grade mathematical proofs and provide meaningful feedback to students. The conversation explores the challenges of precision, logic, and ethical concerns in AI-assisted grading, and considers broader implications for teaching, learning, and faculty development. Listeners will also gain in...
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Education
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All content for AI in Academia: Navigating the Future is the property of Professor Noah Giansiracusa and Gaurav Shah and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Nathan Carter, Professor of Mathematical Sciences and Director of the Center for Analytics and Data Science at Bentley University, joins the podcast to share his current research on whether AI can accurately grade mathematical proofs and provide meaningful feedback to students. The conversation explores the challenges of precision, logic, and ethical concerns in AI-assisted grading, and considers broader implications for teaching, learning, and faculty development. Listeners will also gain in...
Show more...
Education
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Episode 14: Dawn Edmiston
AI in Academia: Navigating the Future
38 minutes
7 months ago
Episode 14: Dawn Edmiston
Dr. Dawn Edmiston, an award-winning Clinical Professor of Marketing at William & Mary (W&M) discusses the use of generative AI for personal branding and digital marketing, practical strategies, challenges, and ethical considerations for integrating AI in the classroom and online learning. She also dives into the importance of asking better questions, and how AI can support—not replace—human creativity and connection.
AI in Academia: Navigating the Future
Nathan Carter, Professor of Mathematical Sciences and Director of the Center for Analytics and Data Science at Bentley University, joins the podcast to share his current research on whether AI can accurately grade mathematical proofs and provide meaningful feedback to students. The conversation explores the challenges of precision, logic, and ethical concerns in AI-assisted grading, and considers broader implications for teaching, learning, and faculty development. Listeners will also gain in...