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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 9: Lindsey Kosinski
AI in Academia: Navigating the Future
36 minutes
1 year ago
Episode 9: Lindsey Kosinski
Lindsey Kosinski, Associate Director of Business Intelligence at Bentley University and a student of Bentley’s Masters in Analytics program, discusses her journey of upskilling before and after the release of ChatGPT, how students can leverage tools like it to learn more effectively in a dynamic environment, the skills that remain crucial as generative AI proliferates, and the evolution of business intelligence from the early days of big data to today.
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...