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Applying the UTAUT Model to Understand Factors Affecting Micro-Lecture Usage by Mathematics Teachers in China

Author

Listed:
  • Tommy Tanu Wijaya

    (School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China)

  • Yiming Cao

    (School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China
    International Center for Research in Mathematics Education, Faculty of Education, Beijing Normal University, Beijing 100875, China)

  • Robert Weinhandl

    (Linz School of Education, STEM Education, Johannes Kepler University Linz, 4040 Linz, Austria)

  • Eri Yusron

    (Pendidikan Guru Anak Usia Dini, Universitas Pendidikan Indonesia Kampus Cibiru, Bandung 40625, Indonesia)

  • Zsolt Lavicza

    (Linz School of Education, STEM Education, Johannes Kepler University Linz, 4040 Linz, Austria)

Abstract

In the last decade, micro-lectures have been widely used to teach mathematics, but only a few studies have examined the factors affecting teachers’ intentions of using micro-lectures. As teachers are key to integrating modern technologies such as micro-lectures into students’ learning processes, knowledge about teachers’ intentions in this regard could be of particular importance. This study aimed to analyze the behavioral intention (BI) of mathematics teachers in using micro-lectures in mathematics in China, and identify the most influential factors involved, for the very first time. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was used as a design model to investigate teachers’ BIs concerning the use of micro-lectures, and we used an online questionnaire to collect quantitative data. The participants in our research were 174 mathematics teachers from China, 166 of whom provided us with evaluable questionnaire data. Furthermore, partial least squares (PLS) regression was used, and hypothesis testing was performed with the Smart-PLS software. From the results, BI was positively affected by Performance Expectancy (PE), Effort Expectancy (EE), and Social Influence (SI). BI and facility conditions also had positive effects on user behavior; in contrast to other studies, SI had the most significant positive effect on BIs in our study. Our findings could provide insights into both future strategies for successful technology integration in mathematics classes and into mathematics teachers’ intentions towards integrating technologies into mathematics teaching.

Suggested Citation

  • Tommy Tanu Wijaya & Yiming Cao & Robert Weinhandl & Eri Yusron & Zsolt Lavicza, 2022. "Applying the UTAUT Model to Understand Factors Affecting Micro-Lecture Usage by Mathematics Teachers in China," Mathematics, MDPI, vol. 10(7), pages 1-20, March.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:7:p:1008-:d:776366
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    References listed on IDEAS

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    4. Saud S. Alghazi & Amirrudin Kamsin & Mohammed Amin Almaiah & Seng Yue Wong & Liyana Shuib, 2021. "For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
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    8. Siti Fatimah Abd Rahman & Melor Md Yunus & Harwati Hashim, 2021. "Applying UTAUT in Predicting ESL Lecturers Intention to Use Flipped Learning," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
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    Cited by:

    1. Tommy Tanu Wijaya & Imam Fitri Rahmadi & Siti Chotimah & Jailani Jailani & Dhoriva Urwatul Wutsqa, 2022. "A Case Study of Factors That Affect Secondary School Mathematics Achievement: Teacher-Parent Support, Stress Levels, and Students’ Well-Being," IJERPH, MDPI, vol. 19(23), pages 1-19, December.
    2. Hye-Ran Eun & Jong-Tae Park & Jong-Hwa Jang, 2022. "Factors Related to the Intention to Use Dental Care by Industrial Workers Due to COVID-19: Application of Anderson Model and Planned Behavior Theory," IJERPH, MDPI, vol. 19(19), pages 1-14, October.
    3. Qihui Xie, 2022. "The Factors Influencing Chinese University Teachers’ Intentions for Using the Micro-Lecture in the Post COVID-19 Era," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    4. Peijie Jiang & Tommy Tanu Wijaya & Mailizar Mailizar & Zulfah Zulfah & Astuti Astuti, 2022. "How Micro-Lectures Improve Learning Satisfaction and Achievement: A Combination of ECM and Extension of TAM Models," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    5. Zhiqiang Yuan & Jing Liu & Xi Deng & Tianzi Ding & Tommy Tanu Wijaya, 2023. "Facilitating Conditions as the Biggest Factor Influencing Elementary School Teachers’ Usage Behavior of Dynamic Mathematics Software in China," Mathematics, MDPI, vol. 11(6), pages 1-18, March.
    6. Tommy Tanu Wijaya & Peijie Jiang & Mailizar Mailizar & Akhmad Habibi, 2022. "Predicting Factors Influencing Preservice Teachers’ Behavior Intention in the Implementation of STEM Education Using Partial Least Squares Approach," Sustainability, MDPI, vol. 14(16), pages 1-24, August.

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