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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 1: Paul Tesluk
AI in Academia: Navigating the Future
32 minutes
1 year ago
Episode 1: Paul Tesluk
In this inaugural episode, Paul Tesluk, Provost and Vice President for Academic Affairs at Bentley University discusses the role of higher education leadership in supporting AI, Bentley’s response to the use of AI in teaching and scholarship, a new AI task force at Bentley, and using AI for scaling operations and reducing costs for programs and initiatives.
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...