Investigation on the Current Situation of Mobile Learning of Undergraduate Pre-service Teachers in China and Research on Promotion Strategies

DOI: https://doi.org/10.62517/jhet.202415325

Author(s)

Xingquan Zou1,2, Mahizer bin Hamzah1,*

Affiliation(s)

1Faculty of Human Development, Universiti Pendidikan Sultan Idris (UPSI), Tanjung Malim, Perak, Malaysia 2School of Teacher Education, Ping Ding Shan Normal University, Pingdingshan, Henan, China *Corresponding Author.

Abstract

The integration of technology into educational systems has brought about a transformation in the methods of obtaining information. This has given impetus to such ideas as mobile learning. Recent years have seen a significant increase in the use of mobile learning, or " M-learning" in remote education. This article investigates the current situation of mobile learning among students major in undergraduate pre-service teaching through questionnaires, interviews and other methods. It is found that pre-service teachers have the conditions to carry out mobile learning, but the awareness of mobile learning is insufficient, the knowledge absorption is fragmented, and the lack of information literacy, etc., and they are also affected by various external factors. Based on the above results, this study proposes corresponding strategies to promote pre-service teachers' mobile learning: instructors should actively carry out mobile learning to assist classroom-teaching practice, and increase the guidance for undergraduate pre-service teachers Learners need to be mobile learning awareness and improve their learning ability.

Keywords

Mobile Learning; Undergraduate Pre-service Teachers; Promotion Strategies

References

[1]Zhao, M. (2012). Research And Application On Mobile Learning Based On Cloud Computing. China Henan University. [2]Liu, Y., Niu, D., & Zhang, D. (2018). Investigation and analysis of the mobile learning situation of normal students—Taking Qufu Normal University as an example. Survey of Education, 7 (17), 117–120. [3]DU, J., & Zhang, P. (2021). Investigation on the Status Quo of Mobile Learning Based on Blended Teaching Mode and Research on the Reform Countermeasures of “Computer Basics” Curriculum. Industry and Information Technology Education, 8, 119–114. [4]El-hussein, M. O. M., & Cronje, J. C. (2010). Defining Mobile Learning in the Higher Education Landscape. Educational Technology & Society, 13 (3), 12–21. [5]Crompton, H. (2013). A historical overview of mobile learning: Toward learner-centered education. Handbook of mobile learning, 3-14. [6]LIU, M., & ZHANG, Q. (2016). Research on Mobile Learning in Higher Education: Rertospect and Prospect. Open Education Research, 22 (6). [7]LIU, D., LIU, S., & HUI, Y. (2023). Practice Reform in Clinical Medical Graduate Courses under the Background of the New Era. Health Professions Education, 41 (18), 43. [8]Aguayo, C., Cochrane, T., & Narayan, V. (2017). Key themes in mobile learning: Prospects for learnergenerated learning through AR and VR. Australasian Journal of Educational Technology, 33 (6), 27–40. [9]Hongzhi, N. (2020). Investigation on the Current Situation of Mobile Learning in College English: An Empirical Study of LongDongInstitute. Modern Communication. 14, 198-200. [10]Li, H., Jiang, H., & He, J. (2020). Model Construction of Factors Influencing Mobile Learners’ Interaction Willingness with empirical research. The Chinese Journal of ICT in Education, 21 (1), 26–30. [11]Li, XiaoJing, Liu, W., & Feng, Z. (2023). The Current Situation and Improvement Path of Digital Literacy Education for Adolescents in China. China Educational Technology, 435, 32–40. [12]Huang, Y. (2021). Research status of mobile learning at home and abroad from the perspective of knowledge graph. Guizhou University of Finance and Economics. [13]Alvarez, R., & Urla, A. (2002). Tell me a good story: Using narrative analysis to examine information requirements interviews during an ERP implementation. The DATABASE for Advances in Information Systems, 33 (1), 38–52. [14]V.KREJCIE, R., & MORGAN, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30 (3), 607–610. [15]Li, XiaoJing, Liu, W., & Feng, Z. (2023). The Current Situation and Improvement Path of Digital Literacy Education for Adolescents in China. China Educational Technology, 435, 32–40.