The Process of Undergraduates' Collaboration With a Generative Artificial Intelligence Chatbot: Insights From Conversation Content and Epistemic Network Analysis.
Background: Generative artificial intelligence (GenAI) chatbots extend transformative impact in higher education. Current research requires more comprehensive evaluations of the collaborative learning fostered by students and GenAI chatbots. However, existing articles have rarely explored the dynami...
| Publicado en: | Journal of Computer Assisted Learning Vol. 41; no. 6; pp. 1 - 18 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189524200&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189524200 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Dec2025 vid: 41 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 189524200 189524200 189524200 10.1111/jcal.70140 189524200 ppf: 1 ppct: 17 formats: tig: atl: The Process of Undergraduates' Collaboration With a Generative Artificial Intelligence Chatbot: Insights From Conversation Content and Epistemic Network Analysis. aug: au: Shen, Weipeng Lin, Xiao‐Fan Liu, Jiachun Liang, Xinxian Chen, Ruiqing Lai, Xiaoyun Zheng, Xinwen affil: School of Information Technology in Education, South China Normal University, Guangzhou, China sug: subj: Students, Undergraduate Collaboration Chatbot Computer-Assisted Instruction Human Male Female Adolescence Young Adult China Epistemology Social Constructionism Conversation Learning Teaching Curriculum Cooperative Behavior Natural Language Processing Problem-Based Learning User-Computer Interface Communication Cognition Language Social Behavior T-Tests Pearson's Correlation Coefficient Spearman's Rank Correlation Coefficient Statistical Significance Data Analysis Software Descriptive Statistics Adolescent: 13-18 years Male Female ab: Background: Generative artificial intelligence (GenAI) chatbots extend transformative impact in higher education. Current research requires more comprehensive evaluations of the collaborative learning fostered by students and GenAI chatbots. However, existing articles have rarely explored the dynamic process of student–AI collaboration in higher education. Objectives: This study aims to analyse and visualise the changes in the process of undergraduates' collaboration with a GenAI chatbot. The interaction patterns of the collaboration were explored under the perspective of social constructivist learning theory. The differences between student‐AI interaction patterns at 5 time points (after 5 lessons) were further compared to show the dynamic collaboration process. Method: A 9‐week course was implemented for 40 Chinese undergraduates, who completed 5 rounds of collaboration with a GenAI chatbot named ERNIE Bot. Employing a designed coding scheme, a total of 6180 codes was collected from the conversation content of each round. Based on the interval data, content analysis and epistemic network analysis (ENA) were conducted. Results: First, undergraduates gradually became more active and targeted in their collaboration with the GenAI chatbot. Second, the focal points of their collaboration changed from "Comprehension" (the first–third lessons) to "Generation" (the third–fifth lessons), along with different interaction patterns. Notably, the interaction patterns changed more rapidly and prominently during the "Comprehension" phase than the "Generation" phase. Implications: The findings contribute to understanding the social constructivist learning process within student‐AI collaboration in higher education. Practical recommendations for students and educators were offered as well. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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