Visible to the public Individual versus Computer-Supported Collaborative Self-Explanations: How Do Their Writing Analytics Differ?

TitleIndividual versus Computer-Supported Collaborative Self-Explanations: How Do Their Writing Analytics Differ?
Publication TypeConference Paper
Year of Publication2020
AuthorsAlbó, Laia, Beardsley, Marc, Amarasinghe, Ishari, Hernández-Leo, Davinia
Conference Name2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)
Date Publishedjul
KeywordsCoh-Metrix, Coherence, Collaboration, Collaborative Work, composability, computer-supported collaborative learning, Human Behavior, human factors, Metrics, pubcrawl, reflection, Scalability, Self-explanations, Syntactics, Task Analysis, text analytics, Writing, writing analytics
AbstractResearchers have demonstrated the effectiveness of self-explanations (SE) as an instructional practice and study strategy. However, there is a lack of work studying the characteristics of SE responses prompted by collaborative activities. In this paper, we use writing analytics to investigate differences between SE text responses resulting from individual versus collaborative learning activities. A Coh-Metrix analysis suggests that students in the collaborative SE activity demonstrated a higher level of comprehension. Future research should explore how writing analytics can be incorporated into CSCL systems to support student performance of SE activities.
DOI10.1109/ICALT49669.2020.00046
Citation Keyalbo_individual_2020