Abstract
The main research goal of this paper is to reveal what information helps teachers adapt to students within a dashboard, how they use it, and how to provide better support. In this research, we observe information acquisition by teachers through a created stand-alone dashboard and interviews. The dashboard presents not only exercise performances and competency level of acquisition, but also error-type information. The analysis of these observations uncovers a first conceptual model of teacher adaptation workflow, as well as additional suggestions to ease adaptation in a future version of such a dashboard.
Supported by the French Ministry of Education.
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References
Aleven, V., McLaughlin, E.A., Glenn, R.A., Koedinger, K.R.: Instruction Based on Adaptive Learning Technologies. Handbook of Research on Learning and Instruction. Routledge, London (2016)
Chenevotot, F., Grugeon, B., Pilet, J., Prévit, D., Delozanne, E.: The diagnostic assessment Pépite and the question of its transfer at different school levels. In: The Ninth Congress of the European society for Research in Mathematics Education (CERME) (2015)
Corbett, A.: Cognitive computer tutors: solving the two-sigma problem. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) UM 2001. LNCS (LNAI), vol. 2109, pp. 137–147. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-44566-8_14
Grugeon-Allys, B., Chenevotot-Quentin, F., Pilet, J., Prévit, D.: Online automated assessment and student learning: The PEPITE project in elementary algebra. In: Ball, L., Drijvers, P., Ladel, S., Siller, H.-S., Tabach, M., Vale, C. (eds.) Uses of Technology in Primary and Secondary Mathematics Education. ICME-13, pp. 245–266. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76575-4_13
Pilet, J.: Réguler l’enseignement en algèbre élémentaire par des parcours d’enseignement différencié. Recherches En Didactique Des Mathématiques 35(3), 273–312 (2015)
Schwendimann, B.A., et al.: Understanding learning at a glance: a systematic literature review of learning dashboards. In: Proceedings of the 6th International Conference on Learning Analytics and Knowledge (LAK 2016), vol. 10, no. 1, pp. 148–157 (2016)
Xhakaj, F., Aleven, V., McLaren, B.M.: How teachers use data to help students learn: contextual inquiry for the design of a dashboard, pp. 340–354 (2016)
Xhakaj, F., Aleven, V., McLaren, B.M.: Effects of a teacher dashboard for an intelligent tutoring system on teacher knowledge, lesson planning, lessons and student learning. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-Sanagustín, M. (eds.) EC-TEL 2017. LNCS, vol. 10474, pp. 315–329. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66610-5_23
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Nikolayeva, I. et al. (2018). How to Help Teachers Adapt to Learners? Teachers’ Perspective on a Competency and Error-Type Centered Dashboard. In: Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R., Scheffel, M. (eds) Lifelong Technology-Enhanced Learning. EC-TEL 2018. Lecture Notes in Computer Science(), vol 11082. Springer, Cham. https://doi.org/10.1007/978-3-319-98572-5_53
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DOI: https://doi.org/10.1007/978-3-319-98572-5_53
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