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International Conference on Blended Learning

ICBL 2022: Blended Learning: Engaging Students in the New Normal Era pp 194–205Cite as

Research on the Influencing Factors and Mechanisms of Math Learning Motivation on Online Learning Engagement

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13357))

Abstract

This study examined the influences of growth mindset and math learning motivation on students’ online learning engagement. A sample of 1649 middle school students participated in the study. The findings suggested that cognitive presence and task-involved motivation played a driving role in students’ online learning engagement and that task-involved motivation indirectly affected their online learning engagement through teaching presence and cognitive presence. Self-concept of mathematics ability and ego-involved motivation also impacted engagement and three presences with different estimates. At the same time, growth mindset significantly affected teaching presence, cognitive presence, and online learning engagement. These findings imply that in the process of mathematics teaching, teachers should consciously facilitate students’ math learning motivation, especially task-involved motivation, to improve students’ learning engagement. In addition, teachers should encourage students to be positive about their ability, foster students’ teaching presence through abundant teaching interventions, and encourage students to think deeply about mathematical problems to develop students’ cognitive presence, ultimately improving students’ learning engagement. Future research should consider the impact of the relationship between motivation and students’ growth mindset.

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Acknowledgement

Yuqin Yang acknowledges the financial support from the National Natural Science Foundation of China (Grant No. 62107020), Ministry of Education of the People’s Republic of China (Grant No. 21YJA880078), and Province-Level and University-level Educational Reformation Research (2021091, CCNUTEIII 2021-11, ZNXBJY202108) of Hubei Province and Central China Normal University, China. We thank the students for their participation.

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Authors and Affiliations

  1. Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, 430079, China

    Zixian Yu, Zhizi Zheng & Yuqin Yang

  2. Central China Normal University, Wuhan, 430079, China

    Qi Li

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  1. Zixian Yu
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  2. Zhizi Zheng
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Correspondence to Qi Li .

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Editors and Affiliations

  1. The Hong Kong Polytechnic University, Hong Kong, China

    Richard Chen Li

  2. Hong Kong Metropolitan University, Hong Kong, China

    Simon K. S. Cheung

  3. The Hong Kong Polytechnic University, Hong Kong, China

    Peter H. F. Ng

  4. Tung Wah College, Hong Kong, China

    Leung-Pun Wong

  5. Hong Kong Metropolitan University, Hong Kong, China

    Fu Lee Wang

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Yu, Z., Zheng, Z., Yang, Y., Li, Q. (2022). Research on the Influencing Factors and Mechanisms of Math Learning Motivation on Online Learning Engagement. In: Li, R.C., Cheung, S.K.S., Ng, P.H.F., Wong, LP., Wang, F.L. (eds) Blended Learning: Engaging Students in the New Normal Era. ICBL 2022. Lecture Notes in Computer Science, vol 13357. Springer, Cham. https://doi.org/10.1007/978-3-031-08939-8_17

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  • DOI: https://doi.org/10.1007/978-3-031-08939-8_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08938-1

  • Online ISBN: 978-3-031-08939-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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