{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T16:08:53Z","timestamp":1771344533854,"version":"3.50.1"},"reference-count":76,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T00:00:00Z","timestamp":1765238400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T00:00:00Z","timestamp":1765238400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62277021"],"award-info":[{"award-number":["62277021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computer Assisted Learning"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Roles are the socio\u2010cognitive interaction patterns in social learning. Analyzing emergent roles provides insights into how students naturally participate and contribute knowledge in productive collaborative argumentation\u2010based learning (CABLE). However, previous studies lack a comprehensive and in\u2010depth understanding of the emergent roles in CABLE. In addition, the relationship between the emergent roles and the CABLE performance of groups and individuals needs to be further explored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aims to identify emergent roles in CABLE and explore the relationship between the dynamic fluctuation of emergent roles and learning performance from both individual and group perspectives.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>To fill this gap, a collaborative argumentation discussion activity was conducted among 33 undergraduate students. The study analyzed the fine\u2010grained collaborative discourse moves based on the community of inquiry (CoI) framework. Then, the study identified emergent roles and quantified the dynamic fluctuation of emergent roles through sequence clustering and entropy analysis. Finally, the relationship between the emergent roles and the CABLE performance of groups and individuals was explored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results and Conclusions<\/jats:title>\n                    <jats:p>The findings revealed that students emerged as Discussion facilitators, Viewpoint contributors, and Knowledge integrators during CABLE. Students with high argumentation skills had significantly higher role entropy values than students with low argumentation skills, and they flexibly regulated and transitioned their emergent roles. Furthermore, the higher the dynamic fluctuation of group emergent roles, the better the group learning performance tended to be. Based on the findings, the study proposed implications for instructional design and future research directions to optimize students' CABLE.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcal.70173","type":"journal-article","created":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T06:48:06Z","timestamp":1765349286000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Unveiling the Relationship Between Undergraduate Students' Emergent Roles and Learning Performance in Collaborative Argumentation\u2010Based Learning: Insights From Sequence Clustering and Entropy Analysis"],"prefix":"10.1002","volume":"42","author":[{"given":"Qingtang","family":"Liu","sequence":"first","affiliation":[{"name":"Faculty of Artificial Intelligence in Education Central China Normal University  Wuhan China"},{"name":"Hubei Key Laboratory of Digital Education Central China Normal University  Wuhan China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9215-2567","authenticated-orcid":false,"given":"Yubei","family":"Chang","sequence":"additional","affiliation":[{"name":"Faculty of Artificial Intelligence in Education Central China Normal University  Wuhan China"},{"name":"Hubei Key Laboratory of Digital Education Central China Normal University  Wuhan China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8251-0845","authenticated-orcid":false,"given":"Xiaojuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Education Information Technology, Faculty of Education Henan Normal University  Xinxiang China"}]},{"given":"Xinxin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Faculty of Education Henan University  Kaifeng China"}]}],"member":"311","published-online":{"date-parts":[[2025,12,9]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/0049124100029001001"},{"key":"e_1_2_12_3_1","volume-title":"Social Learning Theory","author":"Bandura A.","year":"1977"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.so.12.080186.000435"},{"key":"e_1_2_12_5_1","volume-title":"Evaluating the Quality of Learning: The SOLO Taxonomy (Structure of the Observed Learning Outcome)","author":"Biggs J. 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