Towards Music Learning Analytics: Insights Into Students' Background Music in Virtual Reality Content Creation

This study explores the integration of Music Information Retrieval (MIR) techniques into learning analytics to analyze students' background music choices during virtual reality (VR) content creation. Through a mixed-methods approach involving interviews with 16 students and the analysis of background music in 98 VR stories, we examined students' music selection strategies and the emotional and stylistic characteristics of their chosen audio. Findings reveal a preference for calm, low-arousal music aligning with cultural heritage themes. The study demonstrates the potential of MIR in educational contexts, contributing to the emerging field of multimodal learning analytics.