Problem perception and problem regulation during online collaborative learning: what is important for successful collaboration?

Abstract

Background: University students frequently prepare for exams or presentations in self-organized study groups. For this purpose, they often use videoconferencing software. During their collaboration, they need to regulate emerging problems to ensure effective learning. We suppose that regulation is facilitated when (1) the group perceives their regulation problems homogeneously, (2) they choose regulation strategies that have the potential to solve the problems immediately, and (3) they execute these strategies with sufficient intensity. Aims: We investigated which problems occur during online collaborative learning via videoconferencing and how homogeneity of problem perceptions, immediacy of the chosen strategies, and intensity of strategy use are related to regulation success. Sample: University students (N = 222) from two lectures in pre-service teacher education and educational sciences in 99 study groups. Methods: Students collaborated in a self-organized manner, that is, without a teacher present, to study the material of one lecture using videoconferencing software. After the collaboration, group members rated, individually, the intensity of different problems during collaboration, reported which strategies they used to overcome their biggest problem, and rated the success of their problem regulation, their satisfaction with their collaboration, as well as their learning gain. In addition, they answered a knowledge test. Results: We found that most students rated technical issues as their biggest problem. Multilevel modeling showed that homogeneous problem perception moderated by problem intensity—contrary to immediate and intensive strategy use—predicted successful problem regulation and satisfaction with the collaboration but not knowledge gain. Case analyses illustrate the assumed mechanism that a homogeneous problem perception facilitates socially shared regulation. Conclusion: We conclude that even in only slightly structured learning contexts, students might only need to jointly identify their problems, whereas the best possible regulation of these problems seems less relevant. Therefore, training students to foster regulation competencies might prioritize identifying problems. © © 2024 Greisel, Spang, Fett and Kollar.

Keywords

Author Keywords

collaborative learning Challenges socially shared regulation homogeneity immediacy intensity videoconferencing

Index Keywords

Author Affiliations

Department of Educational Psychology, Universität Augsburg, Augsburg, Bayern, Germany

Funding & Acknowledgements

Grant: FBM-2020

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the \u201CStiftung Innovation in der Hochschullehre\u201D under grant FBM-2020 (project \u201CFacilitating Competence Development through Authentic, Digital, and Feedback-Based Teaching-Learning Scenarios\u201D).

References 10 References

1 Al-Samarraie, Hosam, A systematic review of cloud computing tools for collaborative learning: Opportunities and challenges to the blended-learning environment, Computers and Education, 124, pp. 77-91, (2018)

2 Artelt, Cordula, Assessing knowledge about reading strategies, Zeitschrift fur Entwicklungspsychologie und Padagogische Psychologie, 41, 2, pp. 96-103, (2009)

3 Atkinson, Richard C., Human Memory: A Proposed System and its Control Processes, Psychology of Learning and Motivation - Advances in Research and Theory, 2, C, pp. 89-195, (1968)

4 Bates, Douglas M., Fitting linear mixed-effects models using lme4, Journal of Statistical Software, 67, 1, (2015)

5 Bäulke, Lisa, Interrelations between motivational regulation, procrastination and college dropout intentions, Unterrichtswissenschaft, 46, 4, pp. 461-479, (2018)

6 A Wide Lens Combining Embodied Enactive Extended and Embedded Learning in Collaborative Settings 13th International Conference on Computer Supported Collaborative Learning Cscl, (2019)

7 Belli, Simone, Managing negative emotions in online collaborative learning a multimodal approach to solving technical difficulties, Digithum, 2018, 22, pp. 1-12, (2018)

8 Bohannon, Leanne S., Eye contact and video-mediated communication: A review, Displays, 34, 2, pp. 177-185, (2013)

9 Borge, Marcela, Learning to monitor and regulate collective thinking processes, International Journal of Computer-Supported Collaborative Learning, 13, 1, pp. 61-92, (2018)

10 Camilleri, Mark A., Remote learning via video conferencing technologies: Implications for research and practice, Technology in Society, 68, (2022)

Problem perception and problem regulation during online collaborative learning: what is important for successful collaboration?

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