With the rise of the COVID-19 pandemic and its inevitable consequences in education, increased demand for robust online learning frameworks has occurred at all levels of the education system. Given the transformative power of Artificial Intelligence (AI) and machine learning algorithms, there have been determined attempts through the design and application of intelligent tools to overcome existing challenges in online learning platforms. Accordingly, educational providers and researchers are investigating and developing intelligent online learning environments which share greater commonalities with real-world classroom conditions in order to better meet learners' needs. However, short attention spans and the widespread use of smart devices and social media bring about new e-learning systems known as microlearning (ML). While there has been ample research investigating ML and developing micro-content, pedagogical challenges and a general lack of alternative frameworks, theories and practices still exist. The present models have little to say about the connections between social interaction, including learner–content, learner–instructor and learner–learner communication. This has prompted us to investigate the complementary aspects of Computer-supported Collaborative Learning (CSCL) as an interactive learning model, along with an embedded ML module in the design and development of a comprehensive learning platform. The purpose of this study is to explore the pedagogical frameworks and challenges with reference to interaction and retention in online learning environments, as well as the theoretical and pedagogical foundations of ML and its applications. In addition, we delve into the theories and principles behind CSCL, the main elements in CSCL, identifying the issues and challenges to be faced in improving the efficacy of collaboration processes and outcomes. In short, we aim to synthesize how microlearning and CSCL can be applied as effective modules within a comprehensive online learning platform, thereby offering STEM educators a relevant roadmap towards progress that has yet to be offered in previous studies.
Citation: Soheila Garshasbi, Brian Yecies, Jun Shen. Microlearning and computer-supported collaborative learning: An agenda towards a comprehensive online learning system[J]. STEM Education, 2021, 1(4): 225-255. doi: 10.3934/steme.2021016
With the rise of the COVID-19 pandemic and its inevitable consequences in education, increased demand for robust online learning frameworks has occurred at all levels of the education system. Given the transformative power of Artificial Intelligence (AI) and machine learning algorithms, there have been determined attempts through the design and application of intelligent tools to overcome existing challenges in online learning platforms. Accordingly, educational providers and researchers are investigating and developing intelligent online learning environments which share greater commonalities with real-world classroom conditions in order to better meet learners' needs. However, short attention spans and the widespread use of smart devices and social media bring about new e-learning systems known as microlearning (ML). While there has been ample research investigating ML and developing micro-content, pedagogical challenges and a general lack of alternative frameworks, theories and practices still exist. The present models have little to say about the connections between social interaction, including learner–content, learner–instructor and learner–learner communication. This has prompted us to investigate the complementary aspects of Computer-supported Collaborative Learning (CSCL) as an interactive learning model, along with an embedded ML module in the design and development of a comprehensive learning platform. The purpose of this study is to explore the pedagogical frameworks and challenges with reference to interaction and retention in online learning environments, as well as the theoretical and pedagogical foundations of ML and its applications. In addition, we delve into the theories and principles behind CSCL, the main elements in CSCL, identifying the issues and challenges to be faced in improving the efficacy of collaboration processes and outcomes. In short, we aim to synthesize how microlearning and CSCL can be applied as effective modules within a comprehensive online learning platform, thereby offering STEM educators a relevant roadmap towards progress that has yet to be offered in previous studies.
| [1] |
Hug, T., Encyclopedia of the Sciences of Learning. 2012, New York: Springer. |
| [2] |
Buchem, I. and Hamelmann, H., Microlearning: A strategy for ongoing professional development. eLearning Papers, 2010, 21(7): 1-15. |
| [3] |
Nikou, S.A. and Economides, A.A., Mobile-Based micro-Learning and Assessment: Impact on learning performance and motivation of high school students. Journal of Computer Assisted Learning, 2018, 34(3): 269-278. https://doi.org/10.1111/jcal.12240 doi: 10.1111/jcal.12240
|
| [4] |
Neelen, M. and Kirschner, P.A., Microlearning-A new old concept to put out to pasture. Retrieved from https://3starlearningexperiences.wordpress.com/2017/06/13/microlearning-a-new-old-concept-to-put-out-to-pasture/ on August 28, 2021. |
| [5] |
Jomah, O., Masoud, A.K., Kishore, X.P. and Aurelia, S., Microlearning: A modernized education system. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 2017, 7(1): 103-110. |
| [6] |
Cutler, D., The story behind micro-learning. Retrieved from http://www.spinedu.com/the-story-behind-micro-learning/#.W08KQdUzat_ on August 28, 2021. |
| [7] |
Golonka, E.M., Bowles, A.R., Frank, V.M., Richardson, D.L. and Freynik, S., Technologies for foreign language learning: A review of technology types and their effectiveness. Computer Assisted Language Learning, 2014, 27(1): 70-105. |
| [8] |
Lin, J.J. and Lin, H., Mobile-assisted ESL/EFL vocabulary learning: A systematic review and meta-analysis. Computer Assisted Language Learning, 2019, 32(8): 878-919. https://doi.org/10.1080/09588221.2018.1541359 doi: 10.1080/09588221.2018.1541359
|
| [9] |
Shadiev, R., Hwang, W.Y. and Huang, Y.M., Review of research on mobile language learning in authentic environments. Computer Assisted Language Learning, 2017, 30(3-4): 284-303. https://doi.org/10.1080/09588221.2017.1308383 doi: 10.1080/09588221.2017.1308383
|
| [10] |
Palloff, R.N. and Pratt, K., Collaborating online: Learning together in community. 2005, San Francisco, CA: Jossey-Bass. |
| [11] |
Reeves, T.C., Herrington, J. and Oliver, R., A development research agenda for online collaborative learning. Educational Technology Research and Development, 2004, 52(4): 53-65. |
| [12] |
Resta, P. and Shonfeld, M., A study of trans-national learning teams in a virtual world, in Proceedings of the society for information technology and teacher education international conference, R. McBride and M. Searson Ed. 2013, pp. 2932-2940. |
| [13] |
Abedin, B., Sense of community and learning outcomes in computer supported collaborative learning environments. Business and Information, 2012, 9(1): 964-969. |
| [14] |
Harasim, L., Learning theory and online technology: How new technologies are transforming learning opportunities. 2012, New York: Routledge Press. |
| [15] |
Resta, P. and Carroll, T., Redefining teacher education for digital age learners. 2010, Austin, TX: University of Texas Press. |
| [16] |
Miller, G.A., The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 1956, 63(2): 81-97. https://doi.org/10.1037/h0043158 doi: 10.1037/h0043158
|
| [17] |
Clark, R.C. and Mayer, R.E., e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning. 2011, San Francisco, CA: Pfeiffer. |
| [18] |
Sweller, J., Ayres, P. and Kalyuga, S., Cognitive Load Theory. 2011, New York, NY: Springer Science. |
| [19] |
Hug, T., Mobile learning as 'Microlearning': Conceptual considerations towards enhancements of didactic thinking. International Journal of Mobile and Blended Learning, 2010, 2(4): 47-57. https://doi.org/10.4018/jmbl.2010100104 doi: 10.4018/jmbl.2010100104
|
| [20] |
Blaschke, L.M., Heutagogy and lifelong learning: A review of heutagogical practice and self-determined learning. The International Review of Research in Open and Distributed Learning, 2012, 13(1): 56-71. https://doi.org/10.19173/irrodl.v13i1.1076 doi: 10.19173/irrodl.v13i1.1076
|
| [21] |
Kerres, M., Microlearning as a Challenge for Instructional Design, in Didactics of Microlearning, T. Hug Ed. 2007, pp. 98-109. New York, NY: Waxmann Publishing Co. |
| [22] |
Suhonjić, A.Z., Despotović-Zrakić, M., Labus, A., Bogdanović, Z. and Barać, D., Fostering students' participation in creating educational content through crowdsourcing. Interactive Learning Environments, 2019, 27(1): 72-85. https://doi.org/10.1080/10494820.2018.1451898 doi: 10.1080/10494820.2018.1451898
|
| [23] |
Alqurashi, E., Gokbel, E.N. and Carbonara, D., Teachers' knowledge in content, pedagogy and technology integration: A comparative analysis between teachers in Saudi Arabia and United States. British Journal of Educational Technology, 2017, 48(6): 1414-1426. https://doi.org/10.1111/bjet.12514 doi: 10.1111/bjet.12514
|
| [24] |
Shatte, A.B.R. and Teague, S.J., Microlearning for improved student outcomes in higher education: A scoping review. 2020, OSF Preprints. https://doi.org/10.31219/osf.io/fhu8n doi: 10.31219/osf.io/fhu8n
|
| [25] |
Liu, L., Design and analysis of online micro-course of garden architecture design based on CPC model. International Journal of Emerging Technologies in Learning (iJET), 2017, 12(07): 44-55. |
| [26] |
Erwen, Z. and Wenming, Z., Construction and application of MOOC-based college English micro lesson system. International Journal of Emerging Technologies in Learning (iJET), 2017, 12(02): 155-165. |
| [27] |
Osaigbovo, I.I. and Iwegim, C.F., Instagram: A niche for microlearning of undergraduate medical microbiology. African Journal of Health Professions Education, 2018, 10(2): 75. |
| [28] |
Dingler, T., Weber, D., Pielot, M., Cooper, J., Chang, C. -C. and Henze, N., Language learning on-the-go: opportune moments and design of mobile microlearning sessions, in Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2017, pp. 1-12. |
| [29] |
Edge, D., Fitchett, S., Whitney, M. and Landay, J., MemReflex: adaptive flashcards for mobile microlearning, in Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2012, pp. 431-440. |
| [30] |
Kadhem, H., Using mobile-based micro-learning to enhance students; retention of IT concepts and skills, in 2nd International Conference on Knowledge Engineering and Applications (ICKEA 2017), 2017, pp. 128-132. |
| [31] |
Lv, M., Liu, H., Zhou, W. and Zheng, C., Efficiency model of micro-course study based on cognitive psychology in the college. Computers in Human Behavior, 2020, 107: 106027. https://doi.org/10.1016/j.chb.2019.05.024 doi: 10.1016/j.chb.2019.05.024
|
| [32] |
Bothe, M., Renz, J., Rohloff, T. and Meinel, C., From MOOCs to Micro Learning Activities, in 2019 IEEE Global Engineering Education Conference (EDUCON), 2019, pp. 280-288. |
| [33] |
Wen, C. and Zhang, J., Design of a Microlecture mobile learning system based on smartphone and web platforms. IEEE Transactions on Education, 2015, 58(3): 203-207. https://doi.org/10.1109/TE.2014.2363627 doi: 10.1109/TE.2014.2363627
|
| [34] |
Baumgartner, P., Educational Dimensions of Microlearning - Towards a Taxonomy for Microlearning. in Designing MicroLearning Experiences - Building up Knowledge in organisations and companies, M. Roth, P.A. Bruck and M. Sedlaczek Ed. 2013. Innsbruck: Innsbruck University Press. |
| [35] |
Göschlberger, B., A Platform for Social Microlearning, in Adaptive and Adaptable Learning, K. Verbert, M. Sharples and T. Klobučar Ed. 2016, pp. 513-516. Springer, Cham. https://doi.org/10.1007/978-3-319-45153-4_52 |
| [36] |
Bouillion, L.M. and Gomez, L.M., Connecting school and community with science learning: Real world problems and school-community partnerships as contextual scaffolds. Journal of Research in Science Teaching, 2001, 38(8): 878-898. https://doi.org/10.1002/tea.1037 doi: 10.1002/tea.1037
|
| [37] |
Vygotsky, L.S., Mind in society: The development of higher psychological processes. 1978, Cambridge, MA: Harvard University Press. |
| [38] |
Vygotsky, L.S., Thought and language. 1986, Cambridge, MA: MIT Press. |
| [39] |
Lévy, P., L'intelligence collective. Pour une anthropologie du cyberspace. 1994, Paris: La Découverte. |
| [40] |
Papert, S., Mindstorms: Children, Computers and Powerful Ideas. 1980, New York: Basic Books. |
| [41] |
Jonassen, D.H. and Carr, C.S., Mindtools: Affording multiple knowledge representations for learning, in Computers as Cognitive Tools, Volume Two: No More Walls. Theory change, paradigm shifts, and their influence on the use of computers for instructional purposes, S.P. Lajoie Ed. 2000, pp. 165-196. New York, NY: Routledge. |
| [42] |
Khong, H.K. and Kabilan, M.K., A theoretical model of micro-learning for second language instruction. Computer Assisted Language Learning (CALL), 2020. https://doi.org/10.1080/09588221.2020.1818786 doi: 10.1080/09588221.2020.1818786
|
| [43] |
Sweller, J., Cognitive load theory and educational technology. Educational Technology Research and Development, 2020, 68: 1-16. https://doi.org/10.1007/s11423-019-09701-3 doi: 10.1007/s11423-019-09701-3
|
| [44] |
Mayer, R.E., Cognitive theory of multimedia learning, in The Cambridge Handbook of Multimedia Learning, R.E. Mayer Ed. 2014, pp. 43-71. Cambridge: Cambridge University Press. |
| [45] |
Ryan, R.M. and Deci, E.L., Self-determination theory: Basic psychological needs in motivation, development, and wellness. 2017, New York, NY: The Guilford Press. |
| [46] |
Hug, T. and Friesen, N., Outline of a microlearning agenda. eLearning Papers, 2009, 1-13. |
| [47] |
Bandura, A., Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 1977, 84(2): 191-215. https://doi.org/10.1037/0033-295X.84.2.191 doi: 10.1037/0033-295X.84.2.191
|
| [48] |
Cates, S., Barron, D. and Ruddiman, P., MobiLearn Go: Mobile microlearning as an active, location-aware game, in Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2017, pp. 1-7. |
| [49] |
Sun, G., Cui, T., Yong, J., Shen, J. and Chen, S., Drawing micro learning into MOOC: Using fragmented pieces of time to enable effective entire course learning experiences, in Proceedings of the 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2015, pp. 308-313. https://doi.org/10.1109/CSCWD.2015.7230977. |
| [50] |
Sun, G., Cui, T., Yong, J., Shen, J. and Chen, S., MLaaS: A cloud-based system for delivering adaptive micro learning in mobile MOOC learning. IEEE Transactions on Services Computing, 2018, 11(2): 292-305. https://doi.org/10.1109/TSC.2015.2473854 doi: 10.1109/TSC.2015.2473854
|
| [51] |
Cai, W. and Chen, Q., An experimental research of augmented reality technology from the perspective of mobile learning, in 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2018, pp. 912-915. |
| [52] |
Trusty, A. and Truong, K.N., Augmenting the web for second language vocabulary learning, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2011, pp. 3179-3188. |
| [53] |
Göschlberger, B., Social Microlearning Motivates Learners to Pursue Higher-Level Cognitive Objectives, in Proceedings of the Third International Conference, eLEOT 2016, G. Vincenti, A. Bucciero, M. Helfert and M. Glowatz Ed. 2017, pp. 201-208. https://doi.org/10.1007/978-3-319-49625-2_24 |
| [54] |
Rodríguez, A.I., Riaza, B.G. and Gómez, M.C., Collaborative learning and mobile devices: An educational experience in Primary Education. Computers in Human Behavior, 2017, 72: 664-677. https://doi.org/10.1016/j.chb.2016.07.019 doi: 10.1016/j.chb.2016.07.019
|
| [55] |
Chi, M.T.H. and Wylie, R., The ICAP Framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 2014, 49(4): 219-243. https://doi.org/10.1080/00461520.2014.965823 doi: 10.1080/00461520.2014.965823
|
| [56] |
Scardamalia, M. and Bereiter, C., Knowledge building: Theory, pedagogy, and technology, in Cambridge handbook of the learning sciences, R.K. Sawyer Ed. 2006, pp. 97-115. Cambridge, England: Cambridge University Press. |
| [57] |
Kreijns, K., Kirschner, P.A., Jochems, W. and Buuren, H.V., Measuring perceived sociability of computer-supported collaborative learning environments. Computers & Education, 2007, 49(2): 176-192. https://doi.org/10.1016/j.compedu.2005.05.004 doi: 10.1016/j.compedu.2005.05.004
|
| [58] |
Stahl, G., Koschmann, T. and Suthers, D., Computer-supported collaborative learning: A historical perspective, in Cambridge handbook of the learning sciences, R.K. Sawyer Ed. 2006, pp. 409-426. Cambridge, England: Cambridge University Press. |
| [59] |
Resta, P. and Laferrière, T., Technology in support of collaborative learning. Educational Psychology Review, 2007, 19: 65-83. https://doi.org/10.1007/s10648-007-9042-7 doi: 10.1007/s10648-007-9042-7
|
| [60] |
Garrison, D.R., Anderson, T. and Archer, W., Critical thinking, cognitive presence, and computer conferencing in distance education. American Journal of Distance Education, 2001, 15(1): 7-23. https://doi.org/10.1080/08923640109527071 doi: 10.1080/08923640109527071
|
| [61] |
Johnson, D.W. and Johnson, R.T., Learning together and alone: Cooperative, competitive, and individualistic learning. 1999, Boston: Allyn & Bacon. |
| [62] |
Kreijns, K., Kirschner, P.A. and Jochems, W., Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: A review of the research. Computers in Human Behavior, 2003, 19(3): 335-353. |
| [63] |
Lan, Y. -J., Sung, Y. -T. and Chang, K. -E., From particular to popular: Facilitating EFL mobile-supported cooperative reading. Language learning & technology, 2013, 17(3): 23-38. |
| [64] |
Alexander, R.A., Hardman, F.C. and Hardman, J., Changing Talk, Changing Thinking: Interim report from the in-house evaluation of the CPRT/UoY Dialogic Teaching project. 2017, York, UK: University of York and Cambridge Primary Review Trust. |
| [65] |
Tsuei, M., Development of a peer-assisted learning strategy in computer-supported collaborative learning environments for elementary school students. British Journal of Educational Technology (BJET), 2011, 42(2): 214-232. https://doi.org/10.1111/j.1467-8535.2009.01006.x doi: 10.1111/j.1467-8535.2009.01006.x
|
| [66] |
Genlott, A.A. and Grönlund, Å., Closing the gaps - Improving literacy and mathematics by ICT-enhanced collaboration. Computers and education, 2016, 99: 68-80. https://doi.org/10.1016/j.compedu.2016.04.004 doi: 10.1016/j.compedu.2016.04.004
|
| [67] |
Benbunan-Fich, R., Hiltz, S.R. and Turoff, M., A comparative content analysis of face-to-face vs. asynchronous group decision making. Decision Support Systems, 2002, 34: 457-469. |
| [68] |
Piaget, J., La construction du réel chez l'enfant. 1977, Paris: Delachaux & Niestlé. |
| [69] |
Von Glasersfeld, E., Radical constructivism: A way of knowing and learning. 1995, London: The Falmer Press. |
| [70] |
Savin-Baden, M., Challenging models and perspectives of problem-based learning, in Management of change: Implementation of problem-based and project-based learning in engineering, E.D. Graaff and A. Kolmos Ed. 2007, pp. 9-29. Rotterdam, The Netherlands: Sense Publishers. |
| [71] |
Chen, J., Wang, M., Kirschner, P.A. and Tsai, C. -C., The role of collaboration, computer use, learning environments, and supporting strategies in CSCL: A meta-analysis. Review of Educational Research, 2018, 88(6): 799-843. https://doi.org/10.3102/0034654318791584 doi: 10.3102/0034654318791584
|
| [72] |
Workman, M., Performance and perceived effectiveness in computer-based and computer-aided education: Do cognitive styles make a difference? Computers in Human Behavior, 2004, 20: 517-534. https://doi.org/10.1016/j.chb.2003.10.003 doi: 10.1016/j.chb.2003.10.003
|
| [73] |
Ke, F., Alternative goal structures for computer game-based learning. International Journal of Computer-Supported Collaborative Learning, 2008, 3: 429-445. https://doi.org/10.1007/s11412-008-9048-2 doi: 10.1007/s11412-008-9048-2
|
| [74] |
Moreno, R., Constructing knowledge with an agent-based instructional program: A comparison of cooperative and individual meaning making. Learning and Instruction, 2009, 19(5): 433-444. |
| [75] |
Kwon, S.Y. and Cifuentes, L., The comparative effect of individually-constructed vs. collaboratively-constructed computer-based concept maps. Computers & Education, 2009, 52(2): 365-375. https://doi.org/10.1016/j.compedu.2008.09.012 doi: 10.1016/j.compedu.2008.09.012
|
| [76] |
Rebetez, C., Bétrancourt, M., Sangin, M. and Dillenbourg, P., Learning from animation enabled by collaboration. Instructional Science, 2010, 38: 471-485. https://doi.org/10.1007/s11251-009-9117-6 doi: 10.1007/s11251-009-9117-6
|
| [77] |
Frailich, M., Kesner, M. and Hofstein, A., Enhancing students' understanding of the concept of chemical bonding by using activities provided on an interactive website. Journal of Research in Science Teaching (JRST), 2009, 46(3): 289-310. https://doi.org/10.1002/tea.20278 doi: 10.1002/tea.20278
|
| [78] |
Roseth, C.J., Saltarelli, A.J. and Glass, C.R., Effects of face-to-face and computer-mediated constructive controversy on social interdependence, motivation, and achievement. Journal of Educational Psychology, 2011, 103(4), 804-820. https://doi.org/10.1037/a0024213 doi: 10.1037/a0024213
|
| [79] |
Hwang, W. -Y. and Hu, Sh. -Sh., Analysis of peer learning behaviors using multiple representations in virtual reality and their impacts on geometry problem solving. Computers & Education, 2013, 62: 308-319. https://doi.org/10.1016/j.compedu.2012.10.005 doi: 10.1016/j.compedu.2012.10.005
|
| [80] |
Mercier, E.M. and Higgins, S.E., Collaborative learning with multi-touch technology: Developing adaptive expertise. Learning and Instruction, 2013, 25: 13-23. https://doi.org/10.1016/j.learninstruc.2012.10.004 doi: 10.1016/j.learninstruc.2012.10.004
|
| [81] |
Hsieh, Y. -H. and Tsai, C. -C., The effect of moderator's facilitative strategies on online synchronous discussions. Computers in Human Behavior, 2012, 28(5): 1708-1716. https://doi.org/10.1016/j.chb.2012.04.010 doi: 10.1016/j.chb.2012.04.010
|
| [82] |
Michinov, N. and Primois, C., Improving productivity and creativity in online groups through social comparison process: New evidence for asynchronous electronic brainstorming. Computers in Human Behavior, 2005, 21(1): 11-28. https://doi.org/10.1016/j.chb.2004.02.004 doi: 10.1016/j.chb.2004.02.004
|
| [83] |
Hmelo-Silver, C.E. and Barrows, H.S., Facilitating Collaborative Knowledge Building. Cognition and instruction, 2008, 26(1): 48-94. https://doi.org/10.1080/07370000701798495 doi: 10.1080/07370000701798495
|
| [84] |
Liu, C.H. and Matthews, R., Vygotsky's philosophy: Constructivism and its criticisms examined. International Education Journal, 2005, 6(3): 386-399. |
| [85] |
Araujo, L., Knowing and learning as networking. Management Learning, 1998, 29(3): 317-336. https://doi.org/10.1177/1350507698293004 doi: 10.1177/1350507698293004
|
| [86] |
Bell, F., Connectivism: Its place in theory-informed research and innovation in technology-enabled learning. International Review of Research in Open and Distance Learning, 2011, 12(3): 98-118. https://doi.org/10.19173/irrodl.v12i3.902 doi: 10.19173/irrodl.v12i3.902
|
| [87] |
Suchman L., Plans and Situated Actions. 1987, Cambridge, UK: Cambridge University Press. |
| [88] |
Hutchins E., Cognition in the Wild. 1995, Cambridge, MA: MIT Press. |
| [89] |
Wenger E., Communities of Practice: Learning, Meaning, and Identity. 1998, New York: Cambridge University Press. |
| [90] |
Kirschner P.A., Sweller J., Kirschner F. and Zambrano J., From cognitive load theory to collaborative cognitive load theory. International Journal of Computer-Supported Collaborative Learning, 2018, 13: 213-233. https://doi.org/10.1007/s11412-018-9277-y doi: 10.1007/s11412-018-9277-y
|
| [91] |
Sweller, J. and Cooper, G.A., The use of worked examples as a substitute for problem solving in learning algebra. Cognition and Instruction, 1985, 2(1): 59-89. https://doi.org/10.1207/s1532690xci0201_3 doi: 10.1207/s1532690xci0201_3
|
| [92] |
Asterhan, C.S.C. and Schwarz, B.B., Argumentation for learning: Well-trodden paths and unexplored territories. Educational Psychologist, 2016, 51(2): 164-187. https://doi.org/10.1080/00461520.2016.1155458 doi: 10.1080/00461520.2016.1155458
|
| [93] |
Foote, N., Matson, E., Weiss, L. and Wenger, E., Leveraging group knowledge for high-performance decision-making. Organizational Dynamics, 2002, 31(3): 280-295. |
| [94] |
Janssen, J. and Bodemer, D., Coordinated computer-supported collaborative learning: Awareness and awareness tools. Educational Psychologist, 2013, 48(1): 40-55. https://doi.org/10.1080/00461520.2012.749153 doi: 10.1080/00461520.2012.749153
|
| [95] |
Desjardins, F.J., Lacasse, R., Bélair, L.M., Toward a definition of four orders of competency for the use of information and communication technology (ICT) in education, in Proceedings of the Fourth IASTED International Conference, 2001, pp. 213-217. |
| [96] |
Zhao, H., Sullivan, K.P.H. and Mellenius, I., Participation, interaction and social presence: An exploratory study of collaboration in online peer review groups. British Journal of Educational Technology, 2014, 45(5): 807-819. https://doi.org/10.1111/bjet.12094 doi: 10.1111/bjet.12094
|
| [97] |
Whiteside, A.L., Introducing the social presence model to explore online and blended learning experiences. Journal of Asynchronous Learning Networks, 2015, 19(2): 1-20. https://doi.org/10.24059/OLJ.V19I2.453 doi: 10.24059/OLJ.V19I2.453
|
| [98] |
Rajaram, S., Collaboration both hurts and helps memory: A cognitive perspective. Current Directions in Psychological Science, 2011, 20(2): 76-81. https://doi.org/10.1177/0963721411403251 doi: 10.1177/0963721411403251
|
| [99] |
Retnowati, E., Ayres, P. and Sweller, J., Collaborative learning effects when students have complete or incomplete knowledge. Applied Cognitive Psychology, 2018, 32(6): 681-692. https://doi.org/10.1002/acp.3444 doi: 10.1002/acp.3444
|
| [100] |
Greene, J.A., Muis, K.R. and Pieschl, S., The role of epistemic beliefs in students' self-regulated learning with computer-based learning environments: Conceptual and methodological issues. Educational Psychologist, 2010, 45(4): 245-257. https://doi.org/10.1080/00461520.2010.515932 doi: 10.1080/00461520.2010.515932
|
| [101] |
Xie, K., Miller, N.C. and Allison, J.R., Toward a social conflict evolution model: Examining the adverse power of conflictual social interaction in online learning. Computers & Education, 2013, 63: 404-415. https://doi.org/10.1016/j.compedu.2013.01.003 doi: 10.1016/j.compedu.2013.01.003
|
| [102] |
Xie, K., Yu, C. and Bradshaw, A.C., Impacts of role assignment and participation in asynchronous discussions in college-level online classes. The Internet and Higher Education, 2014, 20: 10-19. https://doi.org/10.1016/j.iheduc.2013.09.003 doi: 10.1016/j.iheduc.2013.09.003
|
| [103] |
Fredricks, J.A., Blumenfeld, P.C. and Paris, A.H., School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 2004, 74(1): 59-109. https://doi.org/10.3102/00346543074001059 doi: 10.3102/00346543074001059
|
| [104] |
Fredricks, J.A., Wang, M. -T., Linn, J.S., Hofkens, T.L., Sung, H., Parr, A. and Allerton, J., Using qualitative methods to develop a survey measure of math and science engagement. Learning and Instruction, 2016, 43: 5-15. https://doi.org/10.1016/j.learninstruc.2016.01.009 doi: 10.1016/j.learninstruc.2016.01.009
|
| [105] |
Pellegrino, J.W. and Hilton, M.L., Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century. 2013, Washington, DC: The National Academic Press. |
| [106] |
Khawaja, M.A., Chen, F. and Marcus, N., Analysis of collaborative communication for linguistic cues of cognitive load. Human Factors and Ergonomics Society, 2009, 54(4): 518-529. https://doi.org/10.1177/0018720811431258 doi: 10.1177/0018720811431258
|
| [107] |
Yin, B. and Chen, F., Towards automatic cognitive load measurement from speech analysis, in Human-Computer Interaction. Interaction Design and Usability, J.A. Jacko Ed. 2007, pp. 1011-1020. Berlin: Springer. |
| [108] |
Paas, F.G.W. C, Training strategies for attaining transfer of problem-solving skill in statistics: A cognitive load approach. Journal of Educational Psychology, 1992, 84(4): 429-434. https://doi.org/10.1037/0022-0663.84.4.429 doi: 10.1037/0022-0663.84.4.429
|
| [109] |
Larmuseau, C., Vanneste, P., Cornelis, J., Desmet, P. and Depaepe, F., Combining physiological data and subjective measurements to investigate cognitive load during complex learning. Frontline Learning Research, 2019, 7(2): 57-74. https://doi.org/10.14786/flr.v7i2.403 doi: 10.14786/flr.v7i2.403
|
| [110] |
Pijeira-Diáz, H.J., Drachsler, H., Kirschner, P.A. and Järvelä, S., Profiling sympathetic arousal in a physics course: How active are students? Journal of Computer Assisted Learning, 2018, 34(4): 397-408. https://doi.org/10.1111/jcal.12271 doi: 10.1111/jcal.12271
|
| [111] |
Paas, F.G.W. C and Van Merriënboer, J.J.G., Instructional control of cognitive load in the training of complex cognitive tasks. Educational Psychology Review, 1994, 6: 351-371. https://doi.org/10.1007/BF02213420 doi: 10.1007/BF02213420
|
| [112] |
Baker, M., Andriessen, J., Lund, K., Van Amelsvoort, M. and Quignard, M., Rainbow: A framework for analysing computer-mediated pedagogical debates. International Journal of Computer-Supported Collaborative Learning, 2007, 2(2-3): 315-357. |
| [113] |
Weinberger, A. and Fischer, F., A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Computers & Education, 2006, 46(1): 71-95. https://doi.org/10.1016/j.compedu.2005.04.003 doi: 10.1016/j.compedu.2005.04.003
|
| [114] |
Ruiz, J.G., Mintzer, M.J. and Leipzig, R.M., The impact of e-learning in medical education. Academic Medicine, 2006, 81(3): 207-212. |
| [115] |
Näykki, P., Järvelä, S., Kirschner, P.A. and Järvenoja, H., Socio-emotional conflict in collaborative learning - A process-oriented case study in a higher education context. International Journal of Educational Research, 2014, 68: 1-14. https://doi.org/10.1016/j.ijer.2014.07.001 doi: 10.1016/j.ijer.2014.07.001
|
| [116] |
Järvenoja, H., Näykki, P. and Törmänen, T., Emotional regulation in collaborative learning: When do higher education students activate group level regulation in the face of challenges? Studies in Higher Education, 2019, 44(10), 1747-1757. https://doi.org/10.1080/03075079.2019.1665318 doi: 10.1080/03075079.2019.1665318
|
| [117] |
Hadwin, A.F., Järvelä, S. and Miller, M., Self-regulation, co-regulation, and shared regulation in collaborative learning environments, in Handbook of Self-regulation of Learning and Performance, D.H. Schunk and J.A. Greene Eds. 2018, pp. 83-106. New York: Routledge. |
| [118] |
Järvenoja, H. and Järvelä, S., Emotion control in collaborative learning situations: Do students regulate emotions evoked by social challenges. British Journal of Educational Psychology, 2009, 79(3): 463-481. https://doi.org/10.1348/000709909X402811 doi: 10.1348/000709909X402811
|
| [119] |
Zhang, Z., Liu, T. and Lee, C.B., Language learners' enjoyment and emotion regulation in online collaborative learning. System, 2021, 98: 102478. https://doi.org/10.1016/j.system.2021.102478 doi: 10.1016/j.system.2021.102478
|
| [120] |
Mänty, K., Järvenoja, H. and Törmänen, T., Socio-emotional interaction in collaborative learning: Combining individual emotional experiences and group-level emotion regulation. International Journal of Educational Research, 2020, 102: 101589. https://doi.org/10.1016/j.ijer.2020.101589 doi: 10.1016/j.ijer.2020.101589
|
| [121] |
Järvelä, S., Malmberg, J. and Koivuniemi, M., Recognizing socially shared regulation by using the temporal sequences of online chat and logs in CSCL. Learning and Instruction, 2016, 42: 1-11. https://doi.org/10.1016/j.learninstruc.2015.10.006 doi: 10.1016/j.learninstruc.2015.10.006
|
| [122] |
Su, Y., Li, Y., Hu, H. and Rose, C.P., Exploring college English language learners' self and social regulation of learning during wiki-supported collaborative reading activities. International Journal of Computer-Supported Collaborative Learning, 2018, 13: 35-60. https://doi.org/10.1007/s11412-018-9269-y doi: 10.1007/s11412-018-9269-y
|
| [123] |
Cho, M. -H., Kim, Y. and Choi, D.H., The effect of self-regulated learning on college students' perceptions of community of inquiry and affective outcomes in online learning. The Internet and Higher Education, 2017, 34: 10-17. https://doi.org/10.1016/j.iheduc.2017.04.001 doi: 10.1016/j.iheduc.2017.04.001
|
| [124] |
Kilis, S., Yıldırım, Z., Investigation of community of inquiry framework in regard to self-regulation, metacognition and motivation. Computers & Education, 2018, 126: 53-64. https://doi.org/10.1016/j.compedu.2018.06.032 doi: 10.1016/j.compedu.2018.06.032
|
| [125] |
Albaili, M.A., Differences among low-, average- and high-achieving college students on learning and study strategies. Educational Psychology, 1997, 17(1-2): 171-177. https://doi.org/10.1080/0144341970170112 doi: 10.1080/0144341970170112
|
| [126] |
Muis, K.R., The role of epistemic beliefs in self-regulated learning. Educational Psychologist, 2007, 42(3): 173-190. https://doi.org/10.1080/00461520701416306 doi: 10.1080/00461520701416306
|
| [127] |
Credé, M. and Phillips, L.A., A meta-analytic review of the motivated strategies for learning questionnaire. Learning and Individual Differences, 2011, 21(4): 337-346. https://doi.org/10.1016/j.lindif.2011.03.002 doi: 10.1016/j.lindif.2011.03.002
|
| [128] |
Su, Y., Li, Y., Liang J. -C. and Tsai C. -C., Moving literature circles into wiki-based environment: The role of online self-regulation in EFL learners' attitude toward collaborative learning. Computer Assisted Language Learning, 2019, 32(5-6): 556-586. https://doi.org/10.1080/09588221.2018.1527363 doi: 10.1080/09588221.2018.1527363
|
| [129] |
Duncan, T.G. and McKeachie, W.J., The making of the motivated strategies for learning questionnaire. Educational Psychologist, 2005, 40(2): 117-128. https://doi.org/10.1207/s15326985ep4002_6 doi: 10.1207/s15326985ep4002_6
|
| [130] |
Cao, L., Differences in procrastination and motivation between undergraduate and graduate students. Journal of the Scholarship of Teaching and Learning, 2012, 12(2): 39-64. https://doi.org/10.14434/josotl.v12i2.2018 doi: 10.14434/josotl.v12i2.2018
|
| [131] |
Isohätälä, J., Näykki, P. and Järvelä, S., Convergences of joint, positive interactions and regulation in collaborative learning. Small Group Research, 2020, 51(2): 229-264. https://doi.org/10.1177/1046496419867760 doi: 10.1177/1046496419867760
|
| [132] |
Järvelä, S., Järvenoja, H. and Malmberg, J., Capturing the dynamic and cyclical nature of regulation: Methodological Progress in understanding socially shared regulation in learning. International Journal of Computer-Supported Collaborative Learning, 2019, 14: 425-441. https://doi.org/10.1007/s11412-019-09313-2 doi: 10.1007/s11412-019-09313-2
|
| [133] |
Malmberg, J., Järvelä, S. and Järvenoja, H., Capturing temporal and sequential patterns of self-, co-, and socially shared regulation in the context of collaborative learning. Contemporary Educational Psychology, 2017, 49: 160-174. https://doi.org/10.1016/j.cedpsych.2017.01.009 doi: 10.1016/j.cedpsych.2017.01.009
|
| [134] |
Janssen, J., Erkens, G. and Kirschner, P.A., Group awareness tools: It's what you do with it that matters. Computers in Human Behavior, 2011, 27(3): 1046-1058. https://doi.org/10.1016/j.chb.2010.06.002 doi: 10.1016/j.chb.2010.06.002
|
| [135] |
Järvelä, S., Kirschner, P.A., Panadero, E., Malmberg, J., Phielix, C., Jaspers, J., Koivuniemi, M. and Järvenoja, H., Enhancing socially shared regulation in collaborative learning groups: Designing for CSCL regulation tools. Educational Technology Research and Development, 2015, 63: 125-142. https://doi.org/10.1007/s11423-014-9358-1 doi: 10.1007/s11423-014-9358-1
|
| [136] |
Su, Y., Zheng, C., Liang, J. -C. and Tsai, C. -C., Examining the relationship between English learners' online self-regulation and their self-efficacy. Australasian Journal of Educational Technology, 2018, 34(3): 105-121. https://doi.org/10.14742/ajet.3548 doi: 10.14742/ajet.3548
|
| [137] |
Lee, S.W. -Y. and Tsai, C. -C., Students' perceptions of collaboration, self-regulated learning, and information seeking in the context of internet-based learning and traditional learning. Computers in Human Behavior, 2011, 27(2): 905-914. https://doi.org/10.1016/j.chb.2010.11.016 doi: 10.1016/j.chb.2010.11.016
|
| [138] |
Zheng, C., Liang, J. -C., Yang, Y.F. and Tsai, C. -C., The relationship between Chinese university students' conceptions of language learning and their online self-regulation. System, 2016, 57: 66-78. https://doi.org/10.1016/J.SYSTEM.2016.01.005 doi: 10.1016/J.SYSTEM.2016.01.005
|
| [139] |
Ucan, S. and Webb, M., Social regulation of learning during collaborative inquiry learning in science: How does it emerge and what are its functions? International Journal of Science Education, 2015, 37(15): 2503-2532. https://doi.org/10.1080/09500693.2015.1083634 doi: 10.1080/09500693.2015.1083634
|
| [140] |
Janssen, J. and Kirschner, P.A., Applying collaborative cognitive load theory to computer-supported collaborative learning: Towards a research agenda. Educational Technology Research and Development, 2020, 68: 783-805. https://doi.org/10.1007/s11423-019-09729-5 doi: 10.1007/s11423-019-09729-5
|
| [141] |
Tomai, M., Mebane, M.E., Rosa, V., Ingravalle, V. and Benedetti, M., Do virtual groups experience less conflict than traditional teams? AWER Procedia Information Technology & Computer Science, 2013, 4: 926-938. |
| [142] |
Wiedmann, M., Leach, R.C., Rummel, N. and Wiley, J., Does group composition affect learning by invention? Instructional Science, 2012, 40: 711-730. https://doi.org/10.1007/s11251-012-9204-y doi: 10.1007/s11251-012-9204-y
|
| [143] |
Postmes, T. and Spears, R., Behavior online: Does anonymous computer communication reduce gender inequality? Personality and Social Psychology Bulletin, 2002, 28(8): 1073-1083. https://doi.org/10.1177/01461672022811006 doi: 10.1177/01461672022811006
|
| [144] |
Van der Meijden, H. and Veenman, S., Face-to-face versus computer-mediated communication in a primary school setting. Computers in Human Behavior, 2005, 21(5): 831-859. https://doi.org/10.1016/j.chb.2003.10.005 doi: 10.1016/j.chb.2003.10.005
|
| [145] |
Bereiter, C. and Scardamalia, M., Knowledge building and knowledge creation: One concept, two hills to climb, in Knowledge Creation in Education, S.C. Tan, H.J. So and J. Yeo Eds. 2014, pp. 35-52. Singapore: Springer. https://doi.org/10.1007/978-981-287-047-6_3 |
| [146] |
Garshasbi, S., Mohammadi, Y., Garf, S., Garshasbi, S. and Shen, J., Optimal learning group formation: A multi-objective heuristic search strategy for enhancing inter-group homogeneity and intra-group heterogeneity. Expert Systems with Applications, 2019, 118: 506-521. https://doi.org/10.1016/j.eswa.2018.10.034 doi: 10.1016/j.eswa.2018.10.034
|
| [147] |
Li, M. and Campbell, J., Asian students' perceptions of group work and group assignments in a New Zealand tertiary institution. Intercultural Education, 2008, 19(3): 203-216. https://doi.org/10.1080/14675980802078525 doi: 10.1080/14675980802078525
|
| [148] |
Janssen, J., Kirschner, F., Erkens, G., Kirschner, P.A. and Paas, F., Making the black box of collaborative learning transparent: Combining process-oriented and cognitive load approaches. Educational Psychology Review, 2010, 22: 139-154. https://doi.org/10.1007/s10648-010-9131-x doi: 10.1007/s10648-010-9131-x
|
| [149] |
Bertucci, A., Johnson, D.W., Johnson, R.T. and Conte, S., Effect of task and goal interdependence on achievement, cooperation, and support among elementary school students. International Journal of Educational Research, 2016, 79: 97-105. https://doi.org/10.1016/j.ijer.2016.06.011 doi: 10.1016/j.ijer.2016.06.011
|
| [150] |
Nebel, S., Schneider, S., Beege, M., Kolda, F., Mackiewicz, V. and Rey, G.D., You cannot do this alone! Increasing task interdependence in cooperative educational videogames to encourage collaboration. Educational Technology Research and Development, 2017, 65: 993-1014. https://doi.org/10.1007/s11423-017-9511-8 doi: 10.1007/s11423-017-9511-8
|
| [151] |
Lin, J. -W., Mai, L. -J. and Lai, Y. -C., Peer interaction and social network analysis of online communities with the support of awareness of different contexts. International Journal of Computer-Supported Collaborative Learning, 2015, 10: 139-159. https://doi.org/10.1007/s11412-015-9212-4 doi: 10.1007/s11412-015-9212-4
|
| [152] |
Bause, I.M., Brich, I.R., Wesslein, A. -K. and Hesse, F.W., Using technological functions on a multi-touch table and their affordances to counteract biases and foster collaborative problem solving. International Journal of Computer-Supported Collaborative Learning, 2018, 13: 7-33. https://doi.org/10.1007/s11412-018-9271-4 doi: 10.1007/s11412-018-9271-4
|
| [153] |
Tsai, C. -W., How to involve students in an online course: A redesigned online pedagogy of collaborative learning and self-regulated learning. International Journal of Distance Education Technologies, 2013, 11(3): 47-57. |
| [154] |
Xiao, Y. and Lucking, R., The impact of two types of peer assessment on students' performance and satisfaction within a Wiki environment. The Internet and Higher Education, 2008, 11(3-4): 186-193. https://doi.org/10.1016/j.iheduc.2008.06.005 doi: 10.1016/j.iheduc.2008.06.005
|
| [155] |
Dillenbourg, P. and Hong, F., The mechanics of CSCL macro scripts. International Journal of Computer-Supported Collaborative Learning, 2008, 3: 5-23. https://doi.org/10.1007/s11412-007-9033-1 doi: 10.1007/s11412-007-9033-1
|
| [156] |
Weinberger, A., Stegmann, K. and Fischer, F., Learning to argue online: Scripted groups surpass individuals (unscripted groups do not). Computers in Human Behavior, 2010, 26(4): 506-515. https://doi.org/10.1016/j.chb.2009.08.007 doi: 10.1016/j.chb.2009.08.007
|
| [157] |
Cheng, B., Wang, M. and Mercer, N., Effects of role assignment in concept mapping mediated small group learning. The Internet and Higher Education, 2014, 23: 27-38. https://doi.org/10.1016/j.iheduc.2014.06.001 doi: 10.1016/j.iheduc.2014.06.001
|
| [158] |
Su, A.Y.S., Yang, S.J.H., Hwang, W. -Y. and Zhang, J., A Web 2.0-based collaborative annotation system for enhancing knowledge sharing in collaborative learning environments. Computers & Education, 2010, 55(2): 752-766. https://doi.org/10.1016/j.compedu.2010.03.008 doi: 10.1016/j.compedu.2010.03.008
|
| [159] |
Hsiao, H. -S., Chang, C. -S., Lin, C. -Y., Chang, C. -C. and Chen, J. -C., The influence of collaborative learning games within different devices on student's learning performance and behaviours. Australasian Journal of Educational Technology, 2014, 30(6): 652-669. https://doi.org/10.14742/ajet.347 doi: 10.14742/ajet.347
|
| [160] |
Zeman, E., What's driving Apple's 10 billion app success. Retrieved on August 25, 2021 from https://www.informationweek.com/mobile-devices/what-s-driving-apple-s-10-billion-app-success |
| [161] |
Zurita, G. and Nussbaum, M., A constructivist mobile learning environment supported by a wireless handheld network. Journal of Computer Assisted Learning, 2004, 20(4): 235-243. https://doi.org/10.1111/j.1365-2729.2004.00089.x doi: 10.1111/j.1365-2729.2004.00089.x
|
| [162] |
Zurita, G. and Nussbaum, M., Computer supported collaborative learning using wirelessly interconnected handheld computers. Computers & Education, 2004, 42: 289-314. https://doi.org/10.1016/j.compedu.2003.08.005 doi: 10.1016/j.compedu.2003.08.005
|
| [163] |
Viberg, O. and Grönlund, Å, Cross-cultural analysis of users' attitudes toward the use of mobile devices in second and foreign language learning in higher education: A case from Sweden and China. Computers & Education, 2013, 69: 169-180. https://doi.org/10.1016/j.compedu.2013.07.014 doi: 10.1016/j.compedu.2013.07.014
|
| [164] |
Lai, C. -Y. and Wu, C. -C., Using handhelds in a Jigsaw cooperative learning environment. Journal of Computer Assisted Learning, 2006, 22(4): 284-297. https://doi.org/10.1111/j.1365-2729.2006.00176.x doi: 10.1111/j.1365-2729.2006.00176.x
|
| [165] |
Roschelle, J., Rafanan, K., Bhanot, R., Estrella, G., Penuel, B., Nussbaum, M. and Claro, S., Scaffolding group explanation and feedback with handheld technology: impact on students' mathematics learning. Educational Technology Research and Development, 2009, 58: 399-419. https://doi.org/10.1007/s11423-009-9142-9 doi: 10.1007/s11423-009-9142-9
|
| [166] |
Liu, C. -C., Tao, S. -Y. and Nee, J. -N., Bridging the gap between students and computers: Supporting activity awareness for network collaborative learning with GSM network. Behaviour & Information Technology, 2008, 27(2): 127-137. https://doi.org/10.1080/01449290601054772 doi: 10.1080/01449290601054772
|
| [167] |
Liu, T. -Y., Tan, T. -H. and Chu, Y. -L., Outdoor natural science learning with an RFID-supported immersive ubiquitous learning environment. Educational Technology & Society, 2009, 12(4): 161-175. |
| [168] |
Wong, L. -H. and Hsu, C. -K., Effects of learning styles on learners' collaborative patterns in a mobile-assisted, Chinese character-forming game based on a flexible grouping approach. Technology, Pedagogy and Education, 2016, 25(1): 61-77. |
| [169] |
Fu, Q. -K. and Hwang, G. -j., Trends in mobile technology-supported collaborative learning: A systematic review of journal publications from 2007 to 2016. Computers & Education, 2018, 119: 129-143. https://doi.org/10.1016/j.compedu.2018.01.004 doi: 10.1016/j.compedu.2018.01.004
|
| [170] |
Johnson, D.W., Johnson, R.T. and Smith, K., The state of cooperative learning in postsecondary and professional settings. Educational Psychology Review, 2007, 19: 15-29. https://doi.org/10.1007/s10648-006-9038-8 doi: 10.1007/s10648-006-9038-8
|
| [171] |
Lee, D., Huh, Y. and Reigeluth, C.M., Collaboration, intragroup conflict, and social skills in project-based learning. Instructional Science, 2015, 43: 561-590. https://doi.org/10.1007/s11251-015-9348-7 doi: 10.1007/s11251-015-9348-7
|
| [172] |
Shimazoe, J. and Aldrich, H., Group work can be gratifying: Understanding & overcoming resistance to cooperative learning. College Teaching, 2010, 58(2): 52-57. https://doi.org/10.1080/87567550903418594 doi: 10.1080/87567550903418594
|
| [173] |
Freeman, L. and Greenacre, L., An examination of socially destructive behaviors in group work. Journal of Marketing Education, 2010, 33(1): 5-17. https://doi.org/10.1177/0273475310389150 doi: 10.1177/0273475310389150
|
| [174] |
Popov, V., Brinkman, D., Biemans, H.J.A., Mulder, M., Kuznetsov, A. and Noroozi, O., Multicultural student group work in higher education: An explorative case study on challenges as perceived by students. International Journal of Intercultural Relations, 2012, 36(2): 302-317. https://doi.org/10.1016/j.ijintrel.2011.09.004 doi: 10.1016/j.ijintrel.2011.09.004
|
| [175] |
Bunderson, J.S. and Reagans, R.E., Power, status, and learning in organizations. Organization Science, 2011, 22(5): 1182-1194. https://doi.org/10.1287/orsc.1100.0590 doi: 10.1287/orsc.1100.0590
|
| [176] |
Janssen, J., Erkens, G., Kirschner, P.A. and Kanselaar, G., Influence of group member familiarity on online collaborative learning. Computers in Human Behavior, 2009, 25(1): 161-170. https://doi.org/10.1016/j.chb.2008.08.010 doi: 10.1016/j.chb.2008.08.010
|
| [177] |
Galton, M., Hargreaves, L. and Pell, T., Group work and whole-class teaching with 11- to 14-year-olds compared. Cambridge Journal of Education, 2009, 39(1): 119-140. https://doi.org/10.1080/03057640802701994 doi: 10.1080/03057640802701994
|
| [178] |
Koutrouba, K., Kariotaki, M. and Christopoulos, I., Secondary education students' preferences regarding their participation in group work: The case of Greece. Improving Schools, 2012, 15(3): 245-259. https://doi.org/10.1177/1365480212458862 doi: 10.1177/1365480212458862
|
| [179] |
Chang, Y. and Brickman, P., When group work doesn't work: Insights from students. CBE-Life Sciences Education, 2018, 17(3): 1-17. https://doi.org/10.1187/cbe.17-09-0199 doi: 10.1187/cbe.17-09-0199
|
| [180] |
Slof, B., van Leeuwen, A., Janssen, J. and Kirschner, P.A., Mine, ours, and yours: Whose engagement and prior knowledge affects individual achievement from online collaborative learning? Journal of Computer Assisted Learning, 2021, 37(1): 39-50. https://publons.com/publon/10.1111/jcal.12466 |
| [181] |
Gillies, R.M. and Boyle, M., Teachers' reflections on cooperative learning: Issues of implementation. Teaching and Teacher Education, 2010, 26(4): 933-940. https://doi.org/10.1016/j.tate.2009.10.034 doi: 10.1016/j.tate.2009.10.034
|
| [182] |
van de Pol, J., Volman, M. and Beishuizen, J., Patterns of contingent teaching in teacher-student interaction. Learning and Instruction, 2011, 21(1): 46-57. https://doi.org/10.1016/j.learninstruc.2009.10.004 doi: 10.1016/j.learninstruc.2009.10.004
|
| [183] |
van Leeuwen, A., Janssen, J., Erkens, G. and Brekelmans, M., Teacher interventions in a synchronous, co-located CSCL setting: Analyzing focus, means, and temporality. Computers in Human Behavior, 2013, 29(4): 1377-1386. |
| [184] |
Webb, N.M., The teacher's role in promoting collaborative dialogue in the classroom. British Journal of Educational Psychology, 2009, 79(1): 1-28. https://doi.org/10.1348/000709908X380772 doi: 10.1348/000709908X380772
|
| [185] |
Chiriac, E.H. and Granström, K., Teachers' leadership and students' experience of group work. Teachers and Teaching, 2012, 18(3): 345-363. https://doi.org/10.1080/13540602.2012.629842 doi: 10.1080/13540602.2012.629842
|
| [186] |
Strom, P.S. and Strom, R.D., Teamwork skills assessment for cooperative learning. Educational Research and Evaluation, 2011, 17(4): 233-251. |
| [187] |
Biasutti, M., Flow and Optimal Experience, in Reference Module in Neuroscience and Biobehavioral Psychology, J.P. Stein Ed. 2017, pp. 1-9. New York: Elsevier. |
| [188] |
Biasutti, M. and Frate, S., A validity and reliability study of the attitudes toward sustainable development scale. Environmental Education Research, 2017, 23(2): 214-230. https://doi.org/10.1080/13504622.2016.1146660 doi: 10.1080/13504622.2016.1146660
|
| [189] |
Zion, M., Adler, I. and Mevarech, Z., The effect of individual and social metacognitive support on students' metacognitive performances in an online discussion. Journal of Educational Computing Research, 2015, 52(1): 50-87. https://doi.org/10.1177/0735633114568855 doi: 10.1177/0735633114568855
|
| [190] |
Semingson, P., Crosslin, M. and Dellinger, J., Microlearning as a tool to engage students in online and blended learning, in Proceedings of SITE 2015 - Society for Information Technology & Teacher Education International Conference, D. Rutledge and D. Slykhuis Ed. 2015, pp. 474-479. Association for the Advancement of Computing in Education (AACE), Las Vegas, NV, United States. |
| [191] |
Sauter, M., Uttal, D.H., Rapp, D.N., Downing, M. and Jona, K., Getting real: The authenticity of remote labs and simulations for science learning. Distance education, 2013, 34(1): 37-47. https://doi.org/10.1080/01587919.2013.770431 doi: 10.1080/01587919.2013.770431
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Figures(2)
Soheila Garshasbi, Brian Yecies, Jun Shen. Microlearning and computer-supported collaborative learning: An agenda towards a comprehensive online learning system[J]. STEM Education, 2021, 1(4): 225-255. doi: 10.3934/steme.2021016
Main elements of CSCL
Antecedents in CSCL
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