Learning analytics in collaborative learning supported by Slack: From the perspective of engagement.

Abstract IT approach has been gradually applied in collaborative learning groups in higher education nowadays. However, it is still difficult to measure and assess each student's engagement in learning groups. Moreover, how to promote students' engagement in learning groups is also an important prob...

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Published in:Computers in Human Behavior Vol. 92; pp. 625 - 634
Main Authors: Zhang, Xi, Meng, Yao, Ordóñez de Pablos, Patricia, Sun, Yongqiang
Format: Article
Published: Elsevier B.V. Mar2019
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Mar2019
      vid: 92
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      pub: Elsevier B.V.
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        134185559
        10.1016/j.chb.2017.08.012
      ppf: 625
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        atl: Learning analytics in collaborative learning supported by Slack: From the perspective of engagement.
      aug:
        au:
          Zhang, Xi
          Meng, Yao
          Ordóñez de Pablos, Patricia
          Sun, Yongqiang
        affil:
          College of Management and Economics, Tianjin University, China
          Department of Business Administration, University of Oviedo, Oviedo, Spain
          School of Information Management, Wuhan University, China
      su:
        China
        Academic achievement
        Psychology of college students
        Interprofessional relations
        Reward (Psychology)
        Satisfaction
        Social skills
        Students
        Trust
        Teams in the workplace
        Task performance
        Learning strategies
        Surveys
        Data analysis software
      sug:
        subj:
          Academic achievement
          Psychology of college students
          Interprofessional relations
          Reward (Psychology)
          Satisfaction
          Social skills
          Students
          Trust
          Teams in the workplace
          Task performance
          China
          Learning strategies
          Surveys
          Data analysis software
      keyword:
        Collaborative learning
        Learning analytics
        Slack
        Social influence
        Student engagement
        Collaborative learning
        Learning analytics
        Slack
        Social influence
        Student engagement
      ab: Abstract IT approach has been gradually applied in collaborative learning groups in higher education nowadays. However, it is still difficult to measure and assess each student's engagement in learning groups. Moreover, how to promote students' engagement in learning groups is also an important problem. Learning analytics in IT environment helps us understand the whole process of students' learning in groups, analyze these problems in collaborative learning and find ways to improve group learning effect. We examined the role of Slack in students' engagement in collaborative learning. Specifically, whether the openness and visibility of each group member's contribution on Slack can promote students' engagement. Based on the benefits and loss of engagement, we proposed the research model and hypotheses. Surveys (n = 181) were issued online to postgraduate students at different times of a course in China. Data was analysed by SmartPLS. Results show that mutual trust, social influence and reward valence among students can promote their teamwork engagement. Furthermore, teamwork engagement can prompt students' learning and work satisfaction. However, the moderation role of task complexity between teamwork engagement and personal success (i.e. learning and work satisfaction) is not supported. Theoretical contribution and implications for educational practices are discussed. Research limitations and future research directions are also presented. Highlights • A research model regarding teamwork engagement in collaborative learning is proposed. • Intrinsic and extrinsic motivations are considered in the Slack collaboration context in collaborative learning. • Teachers should use some IT tools with high visibility to make students get engaged in collaborative learning.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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