Albó, LaiaBeardsley, Marc YoshimiAmarasinghe, IshariHernández Leo, Davinia2020-08-312020Albó L, Beardsley M, Amarasinghe I, Hernández-Leo D. Individual versus computer-supported collaborative self-explanations: how do their writing analytics differ?. In: ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning; 2020 Jul 6-9; Tartu, Estonia. New York: IEEE; 2020. p. 132-4. DOI: 10.5281/zenodo.1239732978-1-7281-6090-02161-377Xhttp://hdl.handle.net/10230/45238Comunicació presentada a: ICALT 2020 International Conference on Advanced Learning Technologies and Technology-enhanced Learning, organitzada a Tartu, Estònia, del 6 al 9 de juliol de 2020Researchers 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.application/pdfeng© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/ICALT49669.2020.00046Individual versus computer-supported collaborative self-explanations: how do their writing analytics differ?info:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.5281/zenodo.1239732Self-explanationsWriting analyticsCoh-MetrixComputer-supported collaborative learninginfo:eu-repo/semantics/openAccess