Multimodal Data Indicators for Cognitive, Motivational, and Emotional Learning Processes

O. Noroozi, Héctor J. Pijeira-Díaz, Marta Sobocinski, Muhterem Dindar, Sanna Järvelä, P.A. Kirschner

Research output: Contribution to conferencePoster

Abstract

This systematic review of research on data modalities synthesises the research findings in terms of how to optimally use and combine such modalities when investigating various aspects of cognitive, motivational, and emotional learning processes. In total, 207 relevant publications were identified by considering specific keywords and inclusion criteria for research on data modalities. Our results plea for the increased use of objective measures, highlight the need for triangulation of objective and subjective data, and demand for more research on combining various aspects of learning. Further, rather than researching cognitive, motivational, and emotional aspects of learning separately, we encourage scholars to tap into multiple learning processes with multi-modal data to derive a more comprehensive view on the phenomenon of learning.
Original languageEnglish
Publication statusPublished - 2020
Event2020 American Educational Research Association (AERA) Annual Meeting -
Duration: 17 Apr 202021 Apr 2020
https://www.aera20.net/

Conference

Conference2020 American Educational Research Association (AERA) Annual Meeting
Abbreviated titleAERA2020
Period17/04/2021/04/20
Internet address

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