Could AI Podcasts Improve Students’ Academic Performance AND Engagement?: An Empirical Assessment

Abstract

In recent years, podcasts have emerged as a significant educational tool that influences students' learning, academic performance, and retention, particularly within the context of business education. This study investigates the potential of Artificial Intelligence (AI)-generated podcasting as an innovative instructional tool to enhance student academic performance in business education. Leveraging generative AI to create short, topic-specific audio summaries, we integrated podcast episodes into an undergraduate business analytics course and evaluated their impact on student outcomes. Using a quasi-experimental design, we compared performance metrics between students who received AI podcast supplements and a control group with traditional materials. Survey and focus group data were also collected to assess engagement, comprehension, and perceived value. The study highlights how tailored, on-demand audio content can support student success in data-driven, concept-heavy business courses. The impact of podcast listening on students’ learning, academic performance, and retention in business education is multifaceted. The integration of podcasts into educational practices offers distinct advantages, including enhanced listening skills, greater engagement through relatable content, and accessibility that support self-directed learning. Nevertheless, educators must navigate potential challenges in implementation to fully leverage the benefits of this dynamic learning tool. Future research should continue to explore innovative podcast applications and best practices to optimize learning outcomes in business education.