How well centrality measures capture student achievement in computer-supported collaborative learning? – A systematic review and meta-analysis
Tài liệu tham khảo
Agudo-Peregrina, 2014, Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning, Computers in Human Behavior, 31, 542, 10.1016/j.chb.2013.05.031
Bernard, 2009, A meta-analysis of three types of interaction treatments in distance education, Review of Educational Research, 79, 1243, 10.3102/0034654309333844
Borgatti, 2019, Centrality: Concepts and measures, 9
Borgatti, 2009, Network analysis in the social sciences, Science, 323, 892, 10.1126/science.1165821
Borokhovski, 2016, Technology-supported student interaction in post-secondary education: A meta-analysis of designed versus contextual treatments, Computers and Education, 96, 15, 10.1016/j.compedu.2015.11.004
Cadima, 2012, Social networks and performance in distributed learning communities, Educational Technology & Society, 15, 296
Cela, 2014, Social network analysis in E-learning environments: A preliminary systematic review, Educational Psychology Review, 27, 219, 10.1007/s10648-014-9276-0
Chen, 2018, The role of collaboration, computer use, learning environments, and supporting strategies in CSCL: A meta-analysis, Review of Educational Research, 88, 799, 10.3102/0034654318791584
Cho, 2007, Social networks, communication styles, and learning performance in a CSCL community, Computers and Education, 49, 309, 10.1016/j.compedu.2005.07.003
Dado, 2017, A review of methodological applications of social network analysis in computer-supported collaborative learning, Educational Research Review, 22, 159, 10.1016/j.edurev.2017.08.005
De-La-Fuente-Valentín, 2014, Technological support for the enactment of collaborative scripted learning activities across multiple spatial locations, Future Generation Computer Systems, 31, 223, 10.1016/j.future.2013.05.007
De-Marcos, 2016, Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance, Computers in Human Behavior, 60, 312, 10.1016/j.chb.2016.02.052
Dillenbourg, 2009, 3
Dwan, 2013, Systematic review of the empirical evidence of study publication bias and outcome reporting bias—an updated review, PLoS One, 8, 10.1371/journal.pone.0066844
Enyedy, N., & Stevens, R. (n.d.). Analyzing Collaboration. In R. K. Sawyer (Ed.), The Cambridge Handbook of the Learning Sciences (pp. 191–212). Cambridge University Press. https://doi.org/10.1017/CBO9781139519526.013.
Freeman, 1978, Centrality in social networks conceptual clarification, Social Networks, 1, 215, 10.1016/0378-8733(78)90021-7
Gašević, 2019, SENS: Network analytics to combine social and cognitive perspectives of collaborative learning, Computers in Human Behavior, 92, 562, 10.1016/j.chb.2018.07.003
Gurevitch, 2018, Meta-analysis and the science of research synthesis, Nature, 555, 175, 10.1038/nature25753
Hernández-García, 2015, Applying social learning analytics to message boards in online distance learning: A case study, Computers in Human Behavior, 47, 68, 10.1016/j.chb.2014.10.038
Higgins, 2002, Quantifying heterogeneity in a meta‐analysis, Statistics in Medicine, 21, 1539, 10.1002/sim.1186
Jalili, 2015, CentiServer: A comprehensive resource, web-based application and R package for centrality analysis, PLoS One, 10, 10.1371/journal.pone.0143111
Jeong, 2016, Seven affordances of computer-supported collaborative learning: How to support collaborative learning? How can technologies help?, Educational Psychologist, 51, 247, 10.1080/00461520.2016.1158654
Jeong, 2019, Ten years of computer-supported collaborative learning: A meta-analysis of CSCL in STEM education during 2005–2014, Educational Research Review, 28, 100284, 10.1016/j.edurev.2019.100284
John-Steiner, 1996, Sociocultural approaches to learning and development: A Vygotskian framework, Educational Psychologist, 31, 191, 10.1080/00461520.1996.9653266
Joksimovic, 2016, Translating network position into performance: Importance of centrality in different network configurations, ACM International Conference Proceeding Series, 25–29, 314
Joober, 2012, Publication bias: What are the challenges and can they be overcome?, Journal of Psychiatry & Neuroscience, 37, 149, 10.1503/jpn.120065
Jo, 2017, Three interaction patterns on asynchronous online discussion behaviours: A methodological comparison, Journal of Computer Assisted Learning, 33, 106, 10.1111/jcal.12168
Liao, 2017, Ranking in evolving complex networks, Physics Reports, 689, 1, 10.1016/j.physrep.2017.05.001
Liu, 2019, Effects of proactive personality and social centrality on learning performance in SPOCs, CSEDU 2019 - Proceedings of the 11th International Conference on Computer Supported Education, 2, 481
Liu, 2018, Social network characteristics of learners in a course forum and their relationship to learning outcomes, CSEDU 2018 - Proceedings of the 10th International Conference on Computer Supported Education, 1, 15
Liu, 2018, Investigate the relationship between learners' social characteristics and academic achievements, Journal of Physics: Conference Series, 1113
Moher, 2015, Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement, Systematic Reviews, 4, 1, 10.1186/2046-4053-4-1
Osatuyi, 2016, Twittermania: Understanding how social media technologies impact engagement and academic performance of a new generation of learners, Communications of the Association for Information Systems, 39, 509, 10.17705/1CAIS.03923
Plesser, 2018, Reproducibility vs. Replicability: A brief history of a confused terminology, Frontiers in Neuroinformatics, 11, 1, 10.3389/fninf.2017.00076
Poquet, 2020, Intergroup and interpersonal forum positioning in shared-thread and post-reply networks, ACM International Conference Proceeding Series, 187
Poquet, 2021, Recommendations for network research in learning analytics: To open a conversation, Proceedings of the NetSciLA21 Workshop
Putnik, 2016, Analysing the correlation between social network analysis measures and performance of students in social network-based engineering education, International Journal of Technology and Design Education, 26, 413, 10.1007/s10798-015-9318-z
2018
Reychav, 2018, Centrality measures and academic achievement in computerized classroom social networks: An empirical investigation, Journal of Educational Computing Research, 56, 589, 10.1177/0735633117715749
Rodríguez-Triana, 2015, Scripting and monitoring meet each other: Aligning learning analytics and learning design to support teachers in orchestrating CSCL situations, British Journal of Educational Technology, 46, 330, 10.1111/bjet.12198
Romero, 2013, Predicting students' final performance from participation in on-line discussion forums, Computers and Education, 68, 458, 10.1016/j.compedu.2013.06.009
Saqr, 2019, The role of social network analysis as a learning analytics tool in online problem based learning, BMC Medical Education, 19, 1, 10.1186/s12909-019-1599-6
Saqr, 2018, Using social network analysis to understand online problem-based learning and predict performance, PLoS One, 13, 10.1371/journal.pone.0203590
Saqr, 2018, How the study of online collaborative learning can guide teachers and predict students' performance in a medical course, BMC Medical Education, 18, 24, 10.1186/s12909-018-1126-1
Saqr, 2018, How social network analysis can be used to monitor online collaborative learning and guide an informed intervention, PLoS One, 13, 1, 10.1371/journal.pone.0194777
Saqr, 2019, A learning analytics study of the effect of group size on social dynamics and performance in online collaborative learning, 11722
Schwarzer, 2015, 21
Schwarzer, 2015
Sie, 2012, Social network analysis for technology-enhanced learning: Review and future directions, International Journal of Technology Enhanced Learning, 4, 172, 10.1504/IJTEL.2012.051582
Stahl, 2014, Computer-supported collaborative learning, 479
Traxler, 2016, CourseNetworking and community: Linking online discussion networks and course success. Proceedings of the, 2016 Physics Education Research Conference, 352, 10.1119/perc.2016.pr.083
Wecker, 2014, Where is the evidence? A meta-analysis on the role of argumentation for the acquisition of domain-specific knowledge in computer-supported collaborative learning, Computers and Education, 75, 218, 10.1016/j.compedu.2014.02.016
Wise, 2018, Unpacking the relationship between discussion forum participation and learning in MOOCs: Content is key, ACM International Conference Proceeding Series, 330
Zhou, 2012, Modeling academic achievement by self-reported versus traced goal orientation, Learning and Instruction, 22, 413, 10.1016/j.learninstruc.2012.03.004