Motion capture as an instrument in multimodal collaborative learning analytics

Vujovic, Milica; Tassani, Simone; Hernández Leo, Davinia

doi:http://dx.doi.org/10.1007/978-3-030-29736-7_49

Motion capture as an instrument in multimodal collaborative learning analytics

Citació

Vujovic M, Tassani S, Hernández-Leo D. Motion capture as an instrument in multimodal collaborative learning analytics. In: Scheffel M, Broisin J, Pammer-Schindler V, Ioannou A, Schneider J, editors. Transforming learning with meaningful technologies. 14th European Conference on Technology Enhanced Learning, EC-TEL 2019; 2019 Sep 16-19; Delft, The Netherlands. Cham; Springer; 2019. p. 604-8. (LNCS; no. 11722). DOI: 10.1007/978-3-030-29736-7_49

Resum

In this paper, we describe an exploratory study where we investigate the possibilities of motion capture system as an instrument to consider in multi-modal analyses of face-to-face collaborative learning scenarios. The goal is to understand to what extent motion capture can facilitate certain measurements leading to collaborative learning indicators that are currently time-consuming to achieve with other instruments. We focus on the simultaneous measurement of known physical collaboration indicators such as gaze direction, the distance be-tween learners and the speed of movement/reactions. The study considers a lab setting simulating a classroom scenario based on the Jigsaw collaborative learn-ing flow pattern, which proposes a sequence of activities with changes in group size and formation. Preliminary results indicate a high degree of applicability of the system in measuring these indicators, with certain limitations for gaze direc-tion measurements. With appropriate marker position on the participants, the sys-tem is able to automatically provide desired measurements with satisfactory pre-cision. Additionally, with a small number of additional markers, we were able to determine the way students used working surfaces (shared desks).