Article 2023

Effects of online whiteboard-based collaborative argumentation scaffolds on group-level cognitive regulations, written argument skills and regulation patterns

Computers and Education
Journal · Vol. 207 · Art. 104920
Abstract

Argumentation involves collaboration and regulation of learning. In recent years, regulation of learning, which involves self-, co-, and socially shared regulations, has attracted much attention across a range of domains. To date, studies on these forms of regulation, especially on cognitive regulation, have explored the temporal and sequential patterns of regulatory processes using various sample sizes, especially in collaborative learning, whereas few studies were found on how different argumentation scaffolds affect the structure of these three types of regulation. With the maturity of cloud computing and 5G technology, many kinds of collaborative whiteboards can be adopted to support students' argumentation. In this study, Toulmin's Argument Pattern (TAP) and Nussbaum's Argument Vee Diagram (AVD) scaffolds were integrated into an online whiteboard to assist with collaborative argumentation. A total of 193 pre-service teachers of five intact classes were recruited and evenly assigned to the control cohort, the TAP cohort and the AVD cohort. This study conducted a quasi-experiment for 6 weeks, collecting pretests on prior instructional design knowledge & prior argumentation skills and individual metacognition as covariates, screen recording of online whiteboard-based argumentation activities, and group argumentative reports. Using MANCOVA and epistemic network analysis (ENA), this study drew the following conclusions: (1) Compared to the conventional discussion, TAP and AVD scaffolds respectively activated prominently more self-regulation and co-regulation. However, in socially shared regulation, there was no significant difference between the two scaffolds and the conventional discussion; (2) The TAP and AVD scaffolds significantly enhanced students' written argument skills compared to the conventional discussion, but no significant difference existed in the TAP and AVD scaffolds for improving students' written argument skills since the AVD scaffold evoked a great deal of ineffective co-regulation; (3) In the claim phase, the TAP scaffold activated a stronger connection between co-regulation and socially shared regulation than the other two scaffolds, while the AVD scaffold had a connection between self-regulation and socially shared regulation that was stronger than the conventional discussion and as strong as the TAP scaffold. In the justification phase, the AVD scaffold showed a far stronger connection between self-regulation and co-regulation, while the TAP scaffold illustrated a stronger connection between co-regulation and socially shared regulation. In the rebuttal phase, all three scaffolds showed the strongest connection between self-regulation and co-regulation. This study has implications for effectively using online whiteboards to support productive argumentation, in turn boosting argumentation skills along with regulation characteristics of productive argumentation. © 2023 Elsevier Ltd

Keywords

Author Keywords

Improving classroom teaching Pedagogical issues teaching/learning strategies Interactive learning environments

Index Keywords

E-learning Learning systems Improving classroom teaching Pedagogical issues Students Computer aided instruction Interactive learning environment Deregulation Scaffolds Self regulation 5G mobile communication systems Co-regulation Collaborative argumentations Group level Teaching/learning strategy Toulmin White board
Author Affiliations
Graduate Institute of Educational Information and Measurement, National Taichung University of Education, Taichung, Taiwan, Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taipei, Taiwan, Yuan Ze University, Taoyuan, Taiwan
Higher Education Region, Wenzhou University, Wenzhou, Zhejiang, China
Funding & Acknowledgements
Grant: GZ2023014
Funding text 1: This study is supported in part by the second batch projects for teachers' education innovation experimental area of Zhejiang Province granted by Zhejiang Provincial Education Department , China under contract number [2022]200–36: Theories, practice and effectiveness of AI empowered personalized instruction and 2023 Zhejiang Provincial Education Science Planning Project : A theoretical and practical study on programming education for the development of adolescent computational thinking in the context of new curriculum standards (Project number: GZ2023014).; Funding text 2: This study is supported in part by the second batch projects for teachers' education innovation experimental area of Zhejiang Province granted by Zhejiang Provincial Education Department, China under contract number [2022]200–36: Theories, practice and effectiveness of AI empowered personalized instruction and 2023 Zhejiang Provincial Education Science Planning Project: A theoretical and practical study on programming education for the development of adolescent computational thinking in the context of new curriculum standards (Project number: GZ2023014).
Department of Education of Zhejiang Province, ZPDE
Grant: [2022]200–36
Funding text 1: This study is supported in part by the second batch projects for teachers' education innovation experimental area of Zhejiang Province granted by Zhejiang Provincial Education Department , China under contract number [2022]200–36: Theories, practice and effectiveness of AI empowered personalized instruction and 2023 Zhejiang Provincial Education Science Planning Project : A theoretical and practical study on programming education for the development of adolescent computational thinking in the context of new curriculum standards (Project number: GZ2023014).; Funding text 2: This study is supported in part by the second batch projects for teachers' education innovation experimental area of Zhejiang Province granted by Zhejiang Provincial Education Department, China under contract number [2022]200–36: Theories, practice and effectiveness of AI empowered personalized instruction and 2023 Zhejiang Provincial Education Science Planning Project: A theoretical and practical study on programming education for the development of adolescent computational thinking in the context of new curriculum standards (Project number: GZ2023014).
Department of Education of Zhejiang Province, ZPDE
Funding text 1: This study is supported in part by the second batch projects for teachers' education innovation experimental area of Zhejiang Province granted by Zhejiang Provincial Education Department , China under contract number [2022]200–36: Theories, practice and effectiveness of AI empowered personalized instruction and 2023 Zhejiang Provincial Education Science Planning Project : A theoretical and practical study on programming education for the development of adolescent computational thinking in the context of new curriculum standards (Project number: GZ2023014).; Funding text 2: This study is supported in part by the second batch projects for teachers' education innovation experimental area of Zhejiang Province granted by Zhejiang Provincial Education Department, China under contract number [2022]200–36: Theories, practice and effectiveness of AI empowered personalized instruction and 2023 Zhejiang Provincial Education Science Planning Project: A theoretical and practical study on programming education for the development of adolescent computational thinking in the context of new curriculum standards (Project number: GZ2023014).
References 10 References
1 Ader, Mari, Comparing metacognitive regulation and socially shared metacognitive regulation in face-to-face and online learning settings in ill-structured problem solving, Learning, Culture and Social Interaction, 39, (2023)
2 Andrist, Sean, A network analytic approach to gaze coordination during a collaborative task, Computers in Human Behavior, 89, pp. 339-348, (2018)
3 Arslan, Harika Özge, Exploring the effect of argument-driven inquiry on pre-service science teachers’ achievement, science process, and argumentation skills and their views on the ADI model, Teaching and Teacher Education, 121, (2023)
4 Learning in the Disciplines Proceedings of the 9th International Conference of the Learning Sciences Icls 2010, (2010)
5 Observing Interaction an Introduction to Sequential Analysis, (1997)
6 Social Learning Theory, (1977)
7 Bannert, Maria, Process mining techniques for analysing patterns and strategies in students' self-regulated learning, Metacognition and Learning, 9, 2, pp. 161-185, (2014)
8 Bell, Philip A., Scientific arguments as learning artifacts: Designing for learning from the web with KIE, International Journal of Science Education, 22, 8, pp. 797-817, (2000)
9 Belland, Brian R., Portraits of middle school students constructing evidence-based arguments during problem-based learning: The impact of computer-based scaffolds, Educational Technology Research and Development, 58, 3, pp. 285-309, (2010)
10 Canoz, Gokce Meral, Investigate the effect of argumentation-promoted interactive simulation applications on students’ argumentation levels, academic achievements, and entrepreneurship skills in science classes, Thinking Skills and Creativity, 45, (2022)
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