2026-10-07T14:05:46Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:24046 2025-12-12T13:58:42Z ddc:004 open_access

Immersive Pedagogy: Converting AI-Driven Podcasts into Virtual Reality Learning Objects Blažauskas, Tomas Butkevičiūtė, Eglė Sanfilippo, Filippo Armalis, Patrikas Auksoraitytė, Ugnė Artificial Intelligence Virtual Reality NotebookLB Learning objects content generation Educational content creation is being transformed by artificial intelligence (AI) tools that can generate, process, and deliver learning materials across different environments. This paper presents a novel approach for converting AI-generated podcasts into immersive virtual reality (VR) learning experiences. We use the NotebookLM platform to create educational podcast audio recordings, which are then transformed into VR learning objects through automatic transcription, speaker diarization, and integration into a VR environment. The resulting VR learning objects address multiple learning preferences - supporting auditory learners through audio and visual learners through virtual presenters, and kinesthetic learners through immersive interaction. We evaluated this approach within a software engineering course, demonstrating its practical applicability and educational effectiveness. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Tomas Blažauskas and Eglė Butkevičiūtė and Filippo Sanfilippo and Patrikas Armalis and Ugnė Auksoraitytė 2025 Is Part Of OASIcs, Volume 133, 6th International Computer Programming Education Conference (ICPEC 2025) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ICPEC.2025.16 urn:nbn:de:0030-drops-240465 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2025.16 eng https://creativecommons.org/licenses/by/4.0/legalcode