Active learning in undergraduate business classes: Application in both a lower-level major course and an upper-level concentration course

Start Date

17-10-2025 1:30 PM

End Date

17-10-2025 2:00 PM

Location

MH 162

Presenter Information

Jeryl Nelson, Wayne State College Lindsay McLaughlin, Wayne State College

Submission Type

Competitive Paper

Track

Pedagogy

Abstract

This paper explores the integration of flipped classroom models and Artificial Intelligence (AI) in undergraduate business education. It presents two case studies: a lower-level Business Communications course and an upper-level Advanced Finance capstone. Both courses utilize AI tools to foster critical thinking and learning. Student feedback highlights increased engagement, teamwork, and practical application of concepts. The findings suggest that AI can complement active learning strategies.

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Oct 17th, 1:30 PM Oct 17th, 2:00 PM

Active learning in undergraduate business classes: Application in both a lower-level major course and an upper-level concentration course

MH 162

This paper explores the integration of flipped classroom models and Artificial Intelligence (AI) in undergraduate business education. It presents two case studies: a lower-level Business Communications course and an upper-level Advanced Finance capstone. Both courses utilize AI tools to foster critical thinking and learning. Student feedback highlights increased engagement, teamwork, and practical application of concepts. The findings suggest that AI can complement active learning strategies.