Multimodal Learning Analytics Research in the Wild: Challenges and Their Potential Solutions.

Citation (APA 7)

Chejara, P., Kasepalu, R. Prieto, L. P., Ruiz-Calleja, A., Rodríguez-Triana, M. J., & Shankar, S. K., (2023). Multimodal learning analytics research in the wild: challenges and their potential solution. In CrossMMLA workshop at 13th International Learning Analytics and Knowledge Conference (LAK23) (pp. 36-42). CEUR workshop proceedings.

Abstract

Multimodal Learning Analytics (MMLA) has enabled researchers to address learning in physical settings which have long been either overlooked or studied using observational methods. With the use of sensors, researchers have been able to understand learning through an entirely new perspective (eg, analyzing heart-rate variability to find collaboration indicators). Consequently, MMLA has grown significantly in the past few years, moving from a nascent stage towards a more mature field. It raises a question on how the MMLA researcher can move further, ie, the transition towards practice which started getting researchers’ attention. This paper discusses the challenges we faced while conducting MMLA studies in classroom settings over four years and potential solutions to realize the goal of transitioning MMLA research to educational practice. This paper aims to start a discussion in the field of MMLA over the transition of research to practice.