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Implementation of Mobile Learning in Mathematics Instruction for Elementary Second Graders

Author

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  • Tzu-Hua Wang

    (Department of Education and Learning Technology, National Tsing Hua University, Hsinchu 300193, Taiwan)

  • Chien-Hui Kao

    (Department of Education and Learning Technology, National Tsing Hua University, Hsinchu 300193, Taiwan)

  • Tsai-Ju Wang

    (Department of Education and Learning Technology, National Tsing Hua University, Hsinchu 300193, Taiwan)

Abstract

In this study, a mobile learning system (MLS) was developed and adopted to facilitate elementary second-grade students to learn mathematics. A quasi-experimental design was adopted. There were two learning models, including the typical instruction group (TI group) and MLS group. The learning content is the topic of multiplication. A total of 93 s-grade students from four classes in a public elementary school in Northern Taiwan participated in this research. Participants were randomly divided into the MLS group (47 participants: 22 boys and 25 girls) and the TI group (46 participants: 26 boys and 20 girls). Participants in the MLS group received mathematics instruction in the MLS, whereas those in the TI group received direct instruction in typical classrooms. All students took the pretest and posttest of mathematics learning achievement test and mathematics learning interest scale assess their improvement of learning achievement and learning interest after the learning activities. The findings revealed that students in the MLS group had significantly better improvement in their mathematics learning interest and mathematics learning achievement than those in the TI group. In addition, students in the MLS group had significantly better performance in answering items of comprehension and application levels in the mathematics learning achievement test.

Suggested Citation

  • Tzu-Hua Wang & Chien-Hui Kao & Tsai-Ju Wang, 2021. "Implementation of Mobile Learning in Mathematics Instruction for Elementary Second Graders," Mathematics, MDPI, vol. 9(14), pages 1-16, July.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:14:p:1603-:d:590303
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    References listed on IDEAS

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    1. G. Kuder & M. Richardson, 1937. "The theory of the estimation of test reliability," Psychometrika, Springer;The Psychometric Society, vol. 2(3), pages 151-160, September.
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    Cited by:

    1. Jason D. Johnson & Linda Smail & Darryl Corey & Adeeb M. Jarrah, 2022. "Using Bayesian Networks to Provide Educational Implications: Mobile Learning and Ethnomathematics to Improve Sustainability in Mathematics Education," Sustainability, MDPI, vol. 14(10), pages 1-20, May.

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