+********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * +********************************************************************** Zeit: Montag, 28. Juli 2025, 15.00 Uhr Ort: Raum 9222, (Informatikzentrum E3, Ahornstraße 55) Referent: Birte Heinemann, M.Sc. Lehr- und Forschungsgebiet Lerntechnologien Thema: Exploring Teaching and Learning in Virtual Reality: Challenges and Opportunities with Multimodal Learning Analytics Abstract: Virtual Reality (VR) in education offers promising opportunities to design immersive and interactive learning environments. As interest in VR grows, research focuses on the conditions under which learning in VR becomes effective. Beyond exploring what can be taught in VR, it is essential to investigate how immersive features—such as interactivity, presence, and spatial metaphors—shape learning processes. At the same time, challenges persist in systematically evaluating VR learning scenarios and in developing scalable, reusable infrastructures for educational research. Open key questions include: Which VR features are most beneficial for learning? How can onboarding and usability be optimized for diverse learners? And how can multimodal learning analytics (MMLA) support both learners and educators in making data-informed decisions? This dissertation addresses these questions through the design, implementation, and evaluation of three VR learning projects, each supported by a modular analytics infrastructure: (1) simulation-based teacher training in classroom management using Teach-R, (2) immersive learning of the rendering pipeline with RePiX VR, and (3) interdisciplinary lab-based learning scenarios. Together, these cases demonstrate how MMLA can be meaningfully integrated into VR for both research and educational practice. Methodologically, the work follows an iterative, agile approach, combining design-based research (DBR), human-centred design, and design-make-learn cycles. Empirical studies using pre-test, intervention, and post-test designs were conducted for Teach-R and RePiX VR, while the third case contributed to infrastructure development and conceptual generalization. Key contributions include (1) a reusable, xAPI-based infrastructure for learning analytics in VR; (2) empirical insights into onboarding, presence, and usability; (3) two exemplary VR applications for teacher education and computer graphics; and (4) dashboards and visualizations that support reflection and curriculum development. These contributions are grounded in existing research across educational technology, learning sciences, and human-computer interaction and are validated against state-of-the-art methods and the xAPI specification. By shifting away from traditional media comparison studies, the work avoids pitfalls such as novelty effects and confounding variables, instead focusing on how and when learning in VR works. It shows that VR — when paired with multimodal analytics — can meaningfully enhance teaching and learning. This dissertation provides pedagogical insights, and technical solutions for scalable, data-informed educational innovation. Es laden ein: die Dozentinnen und Dozenten der Informatik Birte Heinemann lädt Sie zu einem geplanten Zoom-Meeting ein. Thema: Informatik-Oberseminar - Birte Heinemann Zeit: 28.Juli 2025 02:45 PM Amsterdam, Berlin, Rom, Stockholm, Wien An Zoom-Meeting teilnehmen https://rwth.zoom-x.de/j/66245291890?pwd=INE7Ulc0GWCXNB6LawpRehtaXWWdez.1 Meeting-ID: 662 4529 1890 Kenncode: TakePart --- Über SIP beitreten • 66245291890@lej.zmeu.us <mailto:66245291890@lej.zmeu.us> --- Über H.323 beitreten • 159.124.47.249 (Deutschland) Meeting-ID: 662 4529 1890 Kenncode: 31104251