Studying with Learners’ Own Music: Preliminary Findings on Concentration and Task Load

Abstract

Through profiling learners’ music usage in everyday learning settings, and depicting their learning experience when studying with a music app powered by a large-scale and real-world music library, this study revealed preliminary observations on how background music impacts learning under various task load, and manifested intriguing patterns of learners’ music usage and music preference in various task load conditions. Specifically, we piloted a three-day field experiment in students’ everyday learning environment. During the experiment, participants performed learning tasks with music in the background and completed a set of online surveys before and after each learning session. Our results suggested that learners’ self-selected, real-life background music could enhance their learning effectiveness, while the beneficial effect of background music was more apparent when the learning task was less mentally or temporally demanding. Towards a closer look at the characteristics of preferable music pieces under various task load conditions, our findings showed that music preferred by participants under high versus low temporal demand differs in a number of characteristics, including speechiness, acousticness, danceability, and energy. This study further reveals the effect of background music on learning under various task load levels and provides implications for context-aware background music selection when designing musically enriched learning environments.

Publication
In Proceedings of the 11th International Conference on Learning Analytics & Knowledge (LAK 2021)
Fanjie Li
Fanjie Li
PhD student

Designer / explorer / educational data scientist