Jeitziner, Loris TizianPaneth, LisaRack, OliverZahn, CarmenWulff, Dirk U.Damşa, CrinaBorge, MarcelaKoh, ElizabethWorsley, Marcelo2023-12-082023-12-0820231573-455210.22318/cscl2023.813595https://irf.fhnw.ch/handle/11654/38798https://doi.org/10.26041/fhnw-5903This study takes a NLP approach to measuring social engagement in CSCL-learning groups. Specifically, we develop linguistic markers to capture aspects of social engagement, namely sentiment, responsiveness and uniformity of participation and compare them to human ratings of social engagement. We observed small to moderate links between NLP-markers and human ratings that varied in size and direction across the different groups. We discuss measurement and prediction of social collaborative group engagement using natural language processing.enNatural Language ProcessingQuality of Collaborative Group EngagementComputer-supported Collaborative Learning400 - Sprache, Linguistik004 - Computer Wissenschaften, Internet150 - Psychologie04B - Beitrag Konferenzschrift