Team-based mobile learning supported by an intelligent system: case study of STEM students

This paper presents an empirical study on the integration of an intelligent teaching system, Moso Teach (MT), into an English curriculum in a top-ranked four-year university in China. Data sources include the reports and analysis generated by the learning analytics tools in MT, a survey of students,...

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Bibliographic Details
Published inInteractive learning environments Vol. 28; no. 5; pp. 543 - 559
Main Authors Zhu, Qiongli, Wang, Minjuan
Format Journal Article
LanguageEnglish
Published Abingdon Routledge 03.07.2020
Taylor & Francis Ltd
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Summary:This paper presents an empirical study on the integration of an intelligent teaching system, Moso Teach (MT), into an English curriculum in a top-ranked four-year university in China. Data sources include the reports and analysis generated by the learning analytics tools in MT, a survey of students, final exam scores, and the instructor's observation of classroom activities. Findings suggest that an intelligent and adaptive learning platform coupled with well-designed team-based activities can indeed increase students' engagement in learning in a wide variety of activities and contexts, from personalized learning to team collaboration, and including classroom participation and asynchronous postings on a discussion forum. These findings are significant because Chinese universities tend to have large-size classes with few opportunities for interaction. Most importantly, this study reveals the impact of collaborative mobile learning on STEM students in both learning engagement and learning outcomes.
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ISSN:1049-4820
1744-5191
DOI:10.1080/10494820.2019.1696838