Jan-Bennet Voltmer , Natalia Reich-Stiebert , Jennifer Raimann , Stefan Stürmer
{"title":"The role of multi-attributional student diversity in computer-supported collaborative learning","authors":"Jan-Bennet Voltmer , Natalia Reich-Stiebert , Jennifer Raimann , Stefan Stürmer","doi":"10.1016/j.iheduc.2022.100868","DOIUrl":null,"url":null,"abstract":"<div><p>Many online learning contexts are characterized by both high levels of student diversity on socio-demographic attributes (e.g., gender, first language) as well as task-related attributes (e.g., prior online-learning experiences, prior degrees). This longitudinal study investigated the relationships of multi-attributional diversity with CSCL processes and outcomes in a cohort of 1525 distance education freshmen randomly allocated to 343 groups over the course of a nine-week CSCL assignment. Group-level path analyses revealed that, if not explicitly managed, higher multi-attributional socio-demographic diversity was negatively related to the groups' structural integration (computed from digital data). Lower structural integration, in turn, was positively related to lower task-related collaboration time among students and, ultimately, a poorer grading of the groups' work by independent tutors. Moderation analyses further indicated that high task-related diversity operated as an amplifier of the negative relationship of high socio-demographic diversity with structural integration pointing to a risk constellation that requires active intervention.</p></div>","PeriodicalId":48186,"journal":{"name":"Internet and Higher Education","volume":null,"pages":null},"PeriodicalIF":6.4000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1096751622000240/pdfft?md5=1df7d09feb688c30315c9b39bafd7d30&pid=1-s2.0-S1096751622000240-main.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet and Higher Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1096751622000240","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 1
Abstract
Many online learning contexts are characterized by both high levels of student diversity on socio-demographic attributes (e.g., gender, first language) as well as task-related attributes (e.g., prior online-learning experiences, prior degrees). This longitudinal study investigated the relationships of multi-attributional diversity with CSCL processes and outcomes in a cohort of 1525 distance education freshmen randomly allocated to 343 groups over the course of a nine-week CSCL assignment. Group-level path analyses revealed that, if not explicitly managed, higher multi-attributional socio-demographic diversity was negatively related to the groups' structural integration (computed from digital data). Lower structural integration, in turn, was positively related to lower task-related collaboration time among students and, ultimately, a poorer grading of the groups' work by independent tutors. Moderation analyses further indicated that high task-related diversity operated as an amplifier of the negative relationship of high socio-demographic diversity with structural integration pointing to a risk constellation that requires active intervention.
期刊介绍:
The Internet and Higher Education is a quarterly peer-reviewed journal focused on contemporary issues and future trends in online learning, teaching, and administration within post-secondary education. It welcomes contributions from diverse academic disciplines worldwide and provides a platform for theory papers, research studies, critical essays, editorials, reviews, case studies, and social commentary.