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Enhancing Student Experience through AI-Generated Podcasts in the Southern Cross Model: A Case Study of a Flexible Microlearning Approach
Abstract   Open access   Peer reviewed

Enhancing Student Experience through AI-Generated Podcasts in the Southern Cross Model: A Case Study of a Flexible Microlearning Approach

Andrea Moro, Yu (Jack) Qin Dr, Damian Fernando Dr, Clare du Plessis and Elizabeth Goode Dr
Vol.4(2), pp.36-37
IBILTA 2026 (Online, 30/09/2026–01/10/2026)
30/09/2026
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Enhancing Student Experience through AI-Generated Podcasts in the Southern Cross ModelView
Published (Version of record) Open CC BY-NC V4.0

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Abstract

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Student engagement remains a concern in higher education, particularly in digital and flexible learning environments (De Bruijn-Smolders& Prinsen, 2024). This is evident within the Southern Cross Model (SCM), an immersive block model where compressed timeframes require timely, accessible resources to support learning and assessment preparation (Roche et al., 2024). This study explores how AI-generated podcasts enhance student experience, support flexible microlearning, and improve engagement within the SCM. Although recognised as flexible tools, podcasts are primarily used as supplementary rather than structured learning approaches (Gunderson & Cumming, 2023). This exploratory case study was conducted across two hospitality units over four teaching terms. AI-generated podcasts were developed using NotebookLMand implemented in a multi-format design including unit overviews, weekly summaries, and assessment snapshots to support orientation, reinforce key concepts, and guide assessment preparation. The design drew on microlearning principles (Monib et al., 2024). Data collection is ongoing; to date, an online survey (n = 15) and semi-structured interviews (n = 3) have been analysed using an exploratory thematic approach, with preliminary analysis completed while further data collection continues. Given the exploratory nature of the study and the small interview sample, findings are reported as preliminary insights rather than definitive themes (Yazan, 2015). Findings indicate improved understanding of key concepts and clearer identification of main ideas. Survey results show that 67% of students reported improved understanding. Assessment preparation and practical examples were among the most frequently identified benefits, selected by 44% of respondents.Interviews highlight the role of podcasts in supporting assessment preparation, with students revisiting episodes and valuing flexibility for on-the-go learning. However, students generally viewed podcasts as a supplementary resource that worked best alongside existing learning materials rather than as a standalone learning tool. In addition, the audio-only format posed accessibility challenges for some students, particularly non-native English speakers who expressed a preference for captions or transcripts to support comprehension. This study provides preliminary evidence of the potential for AI-generated podcasts to support the creation of structured learning resources adaptable across units. It extends podcasting beyond supplementary use to a structured, multi-format microlearning design in block teaching contexts.

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