ERIC Number: EJ1470343
Record Type: Journal
Publication Date: 2025-May
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Available Date: 2024-11-21
Investigating the Role of Socially Shared Regulation of Learning in Fostering Student Teachers' Online Collaborative Reflection Abilities
Yumin Zheng1; Chaowang Shang1; Wanqing Xu1; Ping Zhang1; Yulin Zhao1; Yiting Liu1
Education and Information Technologies, v30 n7 p8805-8827 2025
Student teachers are invaluable educational assets, especially in digital transformation. The online collaborative reflection ability (OCRA) is crucial for their teaching careers and has always been challenging. There is a pressing need for new collaborative learning strategies to enhance student teachers' OCRA and improve the quality of future teaching professionals. This study introduces socially shared regulation of learning (SSRL) scaffold to enhance OCRA and utilizes a mixed-methods (quali-quantitative) approach in a quasi-experimental design involving 48 student teachers over a semester. Both the questionnaire survey and epistemic network analysis (ENA) results indicated that the SSRL scaffold significantly enhanced student teachers' OCRA levels. Under the influence of SSRL, the reflection levels of student teachers advanced to higher tiers, with reflection content focusing on critical and contextual reflection. Furthermore, the analysis elucidated how SSRL affected student teachers' OCRA in different stages of online learning activities. Suggestions about task design and intervention plans for each stage of SSRL are provided to teachers and learning designers to uncover better and cultivate OCRA.
Descriptors: Student Teachers, Cooperative Learning, Reflection, Cognitive Processes, Scaffolding (Teaching Technique)
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1Central China Normal University, Faculty of Artificial Intelligence in Education, Wuhan, China