@inproceedings{f6277561326f42e29b494e93259b0ae8,
title = "Designing and implementing multimodal data collection in classroom to capture metacognition in collaborative learning",
abstract = "While prominent empirical research exploring the possibilities to utilize different data channels in the research of regulation in collaborative learning is emerging, we are still in the process of discovering the relevant combinations of different data sources and proper ways to combine data from different channels. This is the case particularly with metacognition. The potential of using multiple data channels lies also in their power to be transferred as a tool for providing learners {\textquoteleft}on the fly{\textquoteright} support for regulation when needed. However, an advanced understanding of the regulated learning in collaborative learning contexts, and particularly on metacognitive processes is essential to harness the benefits of technology in supporting these processes in collaborative learning.",
keywords = "Collaborative learning, Metacognition, Multimodal data",
author = "Jonna Malmberg and Sanna J{\"a}rvel{\"a} and Hanna J{\"a}rvenoja and Eetu Haataja and Pijeira-D{\'i}az, {H{\'e}ctor J.} and Ahsen Cini",
note = "Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 2020 CrossMMLA in Practice: Collecting, Annotating and Analyzing Multimodal Data Across Spaces : co-located with 10th International Learning and Analytics Conference (LAK 2020), CrossMMLA 2020 ; Conference date: 24-03-2020 Through 24-03-2020",
year = "2020",
month = jan,
day = "1",
language = "English",
volume = "2610",
series = "CEUR Workshop Proceedings",
publisher = "Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V",
pages = "23--29",
booktitle = "CrossMMLA in practice",
}