PENERIMAAN PEMBELAJARAN MUDAH ALIH (M-LEARNING) DALAM KALANGAN GURU SEKOLAH MENENGAH LUAR BANDAR [ACCEPTANCE OF MOBILE LEARNING (M-LEARNING) AMONG RURAL SECONDARY SCHOOL TEACHERS]
Keywords:
Pembelajaran Mudah Alih, Penerimaan Teknologi, UTAUT, Sekolah Menengah, Luar Bandar, Mobile Learning, Technology Acceptance, UTAUT, Secondary Schools, Rural AreaAbstract
Abstrak: Pembelajaran mudah alih (m-learning) semakin penting dalam landskap pendidikan digital abad ke-21 kerana potensinya untuk meningkatkan interaktiviti dan fleksibiliti dalam pengajaran. Kajian ini bertujuan untuk mengenal pasti tahap penerimaan pembelajaran mudah alih terhadap umur dan jantina dalam kalangan guru sekolah menengah luar bandar. Kajian ini menggunakan reka bentuk penyelidikan tinjauan kuantitatif dan melibatkan seramai 133 orang guru sekolah menengah luar bandar di Perak Tengah. Data dikumpulkan melalui soal selidik dalam talian dan dianalisis menggunakan statistik deskriptif dan inferensi. Dapatan kajian menunjukkan bahawa tahap penerimaan pembelajaran mudah alih dalam kalangan guru sekolah menengah luar bandar adalah tinggi. Selain itu, dapatan kajian menunjukkan terdapat perbezaan yang signifikan antara penerimaan pembelajaran mudah alih dalam pengajaran dalam kalangan guru menengah luar bandar dengan umur dan jantina. Kajian ini menunjukkan bahawa faktor jantina dan umur guru memainkan peranan dalam penerimaan pembelajaran mudah alih di sekolah luar bandar. Kajian ini mencadangkan agar gaya pembelajaran guru yang berkaitan dengan umur dan jantina diambil kira dalam pembangunan dan pelaksanaan latihan profesional perguruan berkaitan pembelajaran mudah alih terutamanya di kawasan luar bandar bagi membolehkan kejayaan pendidikan digital yang lebih pantas, berkesan dan inklusif di seluruh negara.
Abstract: Mobile learning (m-learning) is becoming increasingly important in the 21st-century digital education landscape due to its potential to enhance interactivity and flexibility in teaching. This study aims to identify the level of acceptance of mobile learning based on age and gender among secondary school teachers in rural areas. The study employed a quantitative survey research design and involved 133 secondary school teachers in rural areas of Perak Tengah. Data were collected through an online questionnaire and analyzed using descriptive and inferential statistics. The findings revealed that the level of acceptance of mobile learning among secondary school teachers in rural areas was high. Additionally, the results showed significant differences in the acceptance of mobile learning in teaching based on teachers’ age and gender. This study indicates that teachers’ gender and age play a role in the acceptance of mobile learning in rural schools. The study recommends that teachers’ learning styles, related to age and gender, should be considered in the development and implementation of professional training programs on mobile learning, particularly in rural areas, to ensure a faster, more effective and inclusive digital education strategies throughout the country.
References
Abu al-Aish, A. & Love, S. 2014. Factors influencing students’ acceptance of M-Learning: An investigation in higher education. Journal of Educational Technology Research and Development, 14(5): 83-90. DOI: 10.19173/irrodl.v14i5.1631
Al-Fraihat, D., Joy, M. & Sinclair, J. 2020. The role of mobile learning in the 21st century education. Journal of Educational Technology Systems, 48(3): 413-431. https://doi.org/10.1177/0047239520909709
Al-Qatawneh, S., Alsalhi, N., Eltahir, M., Althunibat, F., Jaradat, M. & Aljarrah, K. 2022. Effects and perceptions of mobile learning in higher education. Emerging Science Journal, 6(Special Issue): 78-89.
Alshamaila, Y., Awwad, F. M. A., Masa’deh, R. & Farfoura, M. E. 2023. Complexities, Challenges, and Opportunities of Mobile Learning: A Case Study at the University of Jordan. Sustainability, 15(12): 9564. https://doi.org/10.3390/su15129564.
Alyoussef, I. Y. 2021. Factors influencing students’ acceptance of m-learning in higher education: An application and extension of the UTAUT model. Electronics, 10(2): 3171. https://doi.org/10.3390/electronics10243171.
Bala, R. 2024. Understanding gender dynamics in teacher educators' computer self-efficacy. Journal of Digital Learning and Distance Education, 3(6): 1116-1121. https://doi.org/10.56778/jdlde.v3i6.357.
Chee, K. N., Yahaya, N. & Ibrahim, N. H. 2022. The readiness of mobile learning among Malaysian secondary school teachers. Journal of Educational Technology & Online Learning, 5(3): 452-466. https://doi.org/10.31681/jetol.1122334
Chai, C. S., Koh, J. H. L., & Tsai, C. C. 2021. Mobile learning in the 21st century: A review of trends, challenges, and research directions. Educational Technology Research and Development, 69(2): 409-429. https://doi.org/10.1007/s11423-021-09934-5
Chen, Z., Chen, W., Jia, J., & An, H. 2020. The effects of using mobile devices on language learning: A meta-analysis. Educational Technology Research and Development, 68(4): 1769–1789. https://doi.org/10.1007/s11423-020-09801-5
Creswell, J.W. 2012. Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4).
Creswell, J. W., & Creswell, J. D. 2022. Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.
Chauhan, S. & Jaiswal, M. 2016. Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model. The International Journal of Management Education, 14(3): 248-262.
Dahri, N. A., Al-Rahmi, W. M., Almogren, A. S., Yahaya, N. & Vighio, M. S. 2023. Acceptance of mobile learning technology by teachers: Influencing mobile self-efficacy and 21st-century skills-based training. Sustainability, 15(8514).
Devadas, M., & Shilpa, K. 2023. "Chatting with ChatGPT": Analyzing the factors influencing users' intention to use the Open AI's ChatGPT using the UTAUT model. Heliyon, 9(11): e12345.
Grant, M. M. 2019. Difficulties in defining mobile learning: Analysis, design characteristics, and implications. Educational Technology Research and Development, 67(2): 361-388. https://doi.org/10.1007/s11423-018-09641-4
Ghazali, D. & Sufean, H. 2021. Metodologi Penyelidikan Dalam Pendidikan: Amalan Dan Analisis Kajian. Penerbit Universiti Malaya.
Hair, J. F., Page, M., & Brunsveld, N. 2019. Essentials of business research methods (4th ed.). Routledge. https://doi.org/10.4324/9780429203374
Ismail, S. N., Ahmad, A. A. & Zakaria, M. H. 2023. Mobile learning adoption among Malaysian educators post COVID-19 pandemic. Journal of ICT in Education, 10(1): 34-49. https://doi.org/10.37134/jictie.vol10.1.3.2023.
Mohamad Khairi Ilyas, & Mohd Mahzan. 2024. Cabaran dan manfaat M-Pembelajaran dalam pendidikan. Jurnal Penyelidikan Jelai, 17(1): 1-15.
Martin, E., Castéra, J., Cheneval-Armand, H., Marchi, S. & Brandt-Pomares, P. 2024. Mobile learning as instruction prompt guidance to support the inquiry-based learning process: An experimental study on primary school students. Review of Science, Mathematics and ICT Education, 18(1): 5-28. https://doi.org/10.26220/rev.4610.
Munusamy, K. & Jamaludin, K. A. 2022. Cabaran guru untuk mengintegrasikan teknologi maklumat dan komunikasi (TMK) bagi meningkatkan kemahiran membaca dalam kalangan murid. Jurnal Dunia Pendidikan, 4(3): 265-273. https://doi.org/10.55057/jdpd.2022.4.3.23.
Kementerian Pendidikan Malaysia. 2024. Pelan Strategik Kementerian Pendidikan Malaysia (PSKPM) 2024-2030. https://www.moe.gov.my/pskpm20242030
Kementerian Pendidikan Malaysia. 2017. Dasar Pendidikan Kebangsaan (Edisi Keempat). Kementerian Pendidikan Malaysia.
Kementerian Pendidikan Malaysia. 2023. Standard Guru Malaysia 2.0. Kementerian Pendidikan Malaysia.
Taherdoost, H. 2016. Validity and reliability of the research instrument: How to test the validation of a questionnaire/survey in a research. International Journal of Academic Research in Management, 5(3): 28–36. https://doi.org/10.2139/ssrn.3205040
Thian, J. L., & Mohd Matore. M.E. 2021. The use of information and communication technology in the teaching learning of mathematics: A systematic literature review. Jurnal Pendidikan Sains dan Matematik Malaysia, 11(1): 45-59.
Maimun Aqsha Lubis, Mohd Sham Kamis, Sohaina Mohd Salleh, Zunidar, Usiono, Eka Yusnaldi, Siti Hajar Taib & Ikhwan Lubis. 2021. Isu Terkini Pendidikan Islam di Era Pandemik Covid-19 di Malaysia. ASEAN Comparative Education Research Journal of Communication, 31(2): 33-46.
Marikyan, D.& Papagiannidis, S. 2023. Unified Theory of Acceptance and Use of Technology: A review. In S. Papagiannidis (Ed), TheoryHub Book. Available at https://open.ncl.ac.uk / ISBN: 9781739604400.
Liu, M., Liang, J. C., & Tsai, C. C. 2020. The effects of mobile learning on students’ learning achievements: A meta-analysis. Computers & Education, 150: 103824. https://doi.org/10.1016/j.compedu.2020.103824.
Sophonhiranrak, S. 2021. Features, barriers, and influencing factors of mobile learning in higher education: A systematic review. Heliyon, 7(4): 1–10. https://doi.org/10.1016/j.heliyon.2021.e06696
Sulisworo, D. & Toifur, M. 2016. The role of mobile learning on the learning environment shifting at high school in Indonesia. International Journal of Mobile Learning and Organisation, 10(3): 159. https://doi.org/10.1504/IJMLO.2016.077864
Khalid, F., & Samad, M. R. A. 2021. The use of mobile learning in teaching and learning session during the Covid-19 pandemic in Malaysia. ResearchGate.
Osman, N. A. B., Ghazali, N. F. S. & Shahudin, A. S. B. M. 2023. Tahap kesediaan penggunaan, penerimaan dan keberkesanan mobile learning dalam teknologi augmented reality (AR) bagi kursus Introduction to Computer System (ICS) di kalangan pelajar Politeknik Mukah. 7th Technology & Innovation International Conference.
Qazi, A. G., Mustafa, M. Y., Mtenzi, F. J. & Valcke, M. 2023. Mobile technology as an alternative teaching strategy amidst COVID-19 hiatus: Exploring pedagogical possibilities and implications for teacher development. Education Sciences, 13(385) https://doi.org/10.3390/educsci13040385.
Rebollo, J. B. & de Oliveira, J. M. 2024. Factors that influence teachers’ willingness to adopt mobile technologies: Challenges and opportunities. International Journal of Interactive Mobile Technologies, 18(14): 130-147. https://doi.org/10.3991/ijim.v18i14.48579.
Roni, M. R. B. M., & Drahman, N. S. B. 2023. Tahap penerimaan peranti mudah alih dalam pengajaran dan pembelajaran di Politeknik Mukah. 7th Technology & Innovation International Conference.
Samsudin, M. A., & Mohamed, Z. 2023. ICT Integration in 21st-Century Education: Perspectives from Malaysian Teachers. Journal of Educational Innovation and Research, 7(2): 54-62.
Sophonhiranrak, S. 2021. Features, barriers, and influencing factors of mobile learning in higher education: A systematic review. Heliyon, 7: e06696.
Soares, A., Lerigo-Sampson, M & Barker, J. 2024. Recontextualising the Unified Theory of Acceptance and Use of Technology (UTAUT) Framework to higher education online marking. Journal of University Teaching and Learning Practice, 21(8) https://doi.org/10.53761/7ft8x880
Sharples, M., Taylor, J., & Vavoula, G. 2016. A theory of learning for the mobile age. Dalam M. Sharples (Ed.), The Sage handbook of e-learning research (hlm. 63-81). Sage Publications.
Venkatesh, V., Thong, J. Y. L. & Xu, X. 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1): 157-178.
Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3): 425-478.
Venkatesh, V., Thong, J. Y. L. & Xu, X. 2016. Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5): 328-376. https://doi.org/10.17705/1jais.00428
Xue, L., Mat Rashid, A. & Ouyang, S. 2024. The Unified Theory of Acceptance and Use of Technology (UTAUT) in higher education: A systematic review. SAGE Open, 14(1): 1–22. https://doi.org/10.1177/21582440241229570
Zhou, T., Lu, Y. & Wang, B. 2010. Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4): 760-767.
