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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 4: Chase Cicchetti
AI in Academia: Navigating the Future
33 minutes
1 year ago
Episode 4: Chase Cicchetti
Chase Cicchetti, Lecturer in Finance at Bentley University, discusses what happened when his students created their own class policy on AI, how generative AI sped up his research, how LLMs are poised to impact the finance industry, and what the biggest indicator was that some of his students used ChatGPT to write their essays.
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...