Playmeans: Inclusive and Engaging Data Science through Music

Playmeans: Inclusive and Engaging Data Science through Music

Playmeans: Inclusive and Engaging Data Science through Music

By Davit Khachatryan

Abstract

"According to decades of research in educational psychology, learning is a social process that is enhanced when it happens in contexts that are familiar and relevant. But because of the skyrocketing popularity of data science, today we often work with students coming from an abundance of academic concentrations, professional, and personal backgrounds. How can our teaching account for the existing multiplicity of interests and be inclusive of diverse cultural, socioeconomic, and professional backgrounds? Music is a convenient medium that can engage and include. Enter Playmeans, a novel web application (“app”) that enables students to perform unsupervised learning while exploring music. The flexible user interface lets a student select their favorite artist and acquire, in real time, the corresponding discography in a matter of seconds. The student then interacts with the acquired data by means of visualizing, clustering, and, most importantly, listening to music—all of which are happening within the novel Playmeans app. Supplementary materials for this article are available online."

Reference

Khachatryan, D. (2023). Playmeans: Inclusive and Engaging Data Science through Music. Journal of Statistics and Data Science Education, 31(2), 151-161. https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2138801

Keywords

diversity, fun machine, learning, spotify statistics, web application