User Acceptance of Google Classroom-Assisted Learning: The Case of Malaysian Form Six Economics Students
Abstract
As a result of the COVID-19 pandemic situation, educators in Malaysia have resorted to the use of the learning medium Google Classroom as an alternative to existing online teaching methods. Past studies have focused on direct and indirect factors towards the intention to use and the use of Google Classroom in public institutes of higher learning. This study therefore aimed to identify the level and tendency of acceptance items of Google Classroom-assisted learning among Form Six economics students based on demographic factors. A questionnaire was distributed to 206 students in the state of Melaka, Malaysia. Descriptive analysis was used to measure the level of user acceptance of Google Classroom, and the Rasch measurement model of differential item functioning (DIF) was used to identify the tendency of items based on demographic factors. From the findings of the study, the overall analysis of student acceptance of Google Classroom showed that it was at a moderately high level. DIF analysis proved that there were differences in the propensity to adopt Google Classroom based on gender, ethnicity, experience, and frequency of internet usage. The findings of this study will help policymakers to issue guidelines, and assist school management and teachers to plan for technological literacy training to educate students in schools.
https://doi.org/10.26803/ijlter.21.2.20
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Abazi-Bexheti, L., Kadriu, A., Apostolova-Trpkovska, M., Jajaga, E., & Abazi-Alili, H. (2018). LMS solution: Evidence of Google Classroom usage in higher education. Business Systems Research Journal, 9(1), 31-43. https://doi.org/10.2478/bsrj-2018-0003
Adams, D., Mabel, H. J. T., Sumintono, B., & Oh, S. P. (2020). Blended learning engagement in higher education institutions: A differential item functioning analysis of students’ backgrounds. Malaysian Journal of Learning & Instruction, 17(1), 133-158. https://doi.org/10.32890/mjli2020.17.1.6
Al-Emran, M., Alkhoudary, Y. A., Mezhuyev, V., & Al-Emran, M. (2019). Students and educators attitudes towards the use of m-learning: Gender and smartphone ownership differences. International Journal of Interactive Mobile Technologies (iJIM), 13(1), 127-135. https://doi.org/10.3991/ijim.v13i01.9374
Al-Maroof, R. A. S., & Al-Emran, M. (2018). Students acceptance of Google Classroom: An exploratory study using PLS-SEM approach. International Journal of Emerging Technologies in Learning (iJET), 13(6), 112-123. https://doi.org/10.3991/ijet.v13i06.8275
Almusharraf, N., & Khahro, S. (2020). Students satisfaction with online learning experiences during the COVID-19 pandemic. International Journal of Emerging Technologies in Learning (iJET), 15(21), 246-267. https://doi.org/10.3991/ijet.v15i21.15647
Ashong, C. Y., & Commander, N. E. (2012). Ethnicity, gender, and perceptions of online learning in higher education. Journal of Online Teaching and Education, 8(2). http://jolt.merlot.org/vol8no2/ashong_0612.htm
Azizi, S. M., Roozbahani, N., & Khatony, A. (2020). Factors affecting the acceptance of blended learning in medical education: Application of UTAUT2 Model. BMC Medical Education, 20(1), 367. https://doi.org/10.1186/s12909-020-02302-2
Bond, T. G., & Fox, C. M. (2015). Applying the Rasch model: Fundamental measurement in the human sciences (3rd ed.). Routledge.
Boone, W. J., Staver, J. R., & Yale, M. S. (2013). The Rasch model and item response theory models: Identical, similar, or unique? Rasch Analysis in the Human Sciences, 449 458. https://doi.org/10.1007/978-94-007-6857-4_21
Chen, R. S., & Liu, I. F. (2013). Research on the effectiveness of information technology in reducing the rural-urban knowledge divide. Computers & Education, 63, 437-445. https://doi.org/10.1016/j.compedu.2013.01.002
Cheng, M., & Yuen, A. H. K. (2019). Cultural divides in acceptance and continuance of learning management system use: A longitudinal study of teenagers. Educational Technology Research and Development, 67, 1613-1637. https://doi.org/10.1007/s11423-019-09680-5
Ching, S. M., Hamidin, A., Vasudevan, R., Sazlyna, M. S., Wan Aliaa, W. S., Foo, Y. L., Yee, A., & Hoo, F. K. (2017). Prevalence and factors associated with internet addiction among medical students: A cross-sectional study in Malaysia. The Medical Journal of Malaysia, 72(1), 7-11. https://pubmed.ncbi.nlm.nih.gov/28255133/
Clark, D. (2022). Monthly number of downloads of Google Classroom in the UK 2015–2021. https://www.statista.com/statistics/1266735/uk-google-classroom-downloads/
Dash, S. (2019). Google Classroom as a learning management system to teach biochemistry in a medical school. Biochemistry and Molecular Biology Education, 47(4), 404-407. https://doi.org/10.1002/bmb.21246
De Campos Filho, A. S., De Souza Fantini, W., Ciriaco, M. A., Dos Santos, J., Moreira, F., & Gomes, A. S. (2019). Health student using Google Classroom: Satisfaction analysis. In L. Uden, D. Liberona, G. Sanchez, & S. Rodríguez-González (Eds.), Learning technology for education challenges (pp. 58-66). https://doi.org/10.1007/978-3-030-20798-4_6
Decman, M. (2015). Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender. Computers in Human Behavior Journal, 49, 272-281. https://doi.org/10.1016/j.chb.2015.03.022
Dodeen, H., & Johanson, G. (2001). The prevalence of gender DIF in survey data. Annual Meeting Proposal of the American Educational Research Association (pp. 10-14). https://files.eric.ed.gov/fulltext/ED454269.pdf
Elpisah, E., & Bin-Tahir, S. Z. (2019). Student team achievement division (STAD) model in increasing economic learning outcomes. International Journal of Scientific & Technology Research, 8(10), 3089-3092. https://www.ijstr.org/final-print/oct2019/Student-Team-Achievement-Division-stad-Model-In-Increasing-Economic-Learning-Outcomes.pdf
Fauzi, A., Wandira, R., Sepri, D., & Hafid, A. (2021). Exploring students’ acceptance of Google Classroom during the COVID-19 pandemic by using the technology acceptance model in West Sumatera universities. The Electronic Journal of E Learning, 19(4), 233-240. https://doi.org/10.34190/ejel.19.4.2348
Francom, G. M., Schwan, A., & Nuatomue, J. N. (2020). Comparing Google Classroom and D2L Brightspace using the technology acceptance model. TechTrends, 65, 111-119. https://doi.org/10.1007/s11528-020-00533-0
Gameel, B. G., & Wilkins, K. G. (2019). When it comes to MOOCs, where you are from makes a difference. Computers & Education, 136, 49-60. https://doi.org/10.1016/j.compedu.2019.02.014
Ghazal, S., Aldowah, H., & Umar, I. (2017). Critical factors to learning management system acceptance and satisfaction in a blended learning environment. Lecture Notes on Data Engineering and Communications Technologies (pp. 688-698). Springer https://doi.org/10.1007/978-3-319-59427-9_71
Google Trends. (2021). Google Classroom. https://trends.google.com/trends/explore?q=google%20classroom
Hettler, P. L. (2015). Active learning in economics: Increasing student engagement, excitement and success. International Advances in Economic Research, 21, 357-360. https://doi.org/10.1007/s11294-015-9548-6
Hidayat, M. L., Prasetiyo, W. H., & Wantoro J. (2019). Pre-service student teachers’ perception of using Google Classroom in a blended course. Humanities and Social Sciences Reviews, 7(2), 363-368. https://doi.org/10.18510/hssr.2019.7242
Iftakhar, S. (2016). Google Classroom: What works and how? Journal of Education and Social Science, 3, 12-18. https://jesoc.com/wp-content/uploads/2016/03/KC3_35.pdf
Khoo, Y. Y., Khuan, W. B., & Rohaila, Y. (2019). Learning at your fingertips: The effectiveness of mobile learning among distance learners. International Journal of Innovation, Creativity and Change, 7(1), 194-208. https://www.ijicc.net/images/vol7iss1/7112_Yin_2019_TD_R.pdf
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308
Kumar, J. A., & Bervell, B. (2019). Google Classroom for mobile learning in higher education: Modelling the initial perceptions of students. Education and Information Technologies, 24, 1793-1817. https://doi.org/10.1007/s10639-018-09858-z
Kumar, J. A., Bervell, B., & Osman, S. (2020). Google Classroom: Insights from Malaysian higher education students’ and instructors’ experiences. Education and Information Technologies, 25, 4175-4195. https://doi.org/10.1007/s10639-020-10163-x
Lazare, M. (2021). A peek at what’s next for Google Classroom. https://blog.google/outreach-initiatives/education/classroom-roadmap/#:~:text=Today%2C%20Google%20Classroom%20helps%20more,and%20improve%20teaching%20and%20learning
Maheran, Z., Junaidah, H. A., Rosliza, B., Siti Jeslyn, H., & Salwa, Z. (2021). Benefits and challenges of adopting Google Classroom in Malaysian university: Educators’ perspectives. Ilkogretim Online–Elementary Education Online, 20(1), 1296-1304. https://doi.org/10.17051/ilkonline.2021.01.123
Malaysian Communications and Multimedia Commission (MCMC). (2018). Internet users survey 2017. https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/MCMC-Internet-Users-Survey-2017_v2.pdf
Malaysian Communications and Multimedia Commission (MCMC). (2020a). Internet users survey 2020. https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/IUS-2020-Infographic.pdf
Malaysian Communications and Multimedia Commission (MCMC). (2020b). JENDELA fourth quarterly report. https://myjendela.my/
Memon, W. A., Miran, A. A., Memon, M. S., & Sodhar, I. N. (2019). Comparative study of online learning management systems: A survey in Pakistan. Information Sciences Letters, 8(3), 111-120. https://digitalcommons.aaru.edu.jo/isl/vol8/iss3/4
Ministry of Education (MoE) Malaysia. (2018). Garis panduan pelaksanaan dasar murid membawa peranti peribadi ke sekolah Kementerian Pendidikan Malaysia [Guidelines for the implementation of the policy of students bringing personal devices to schools Ministry of Education Malaysia]. Putrajaya. https://www.moe.gov.my/en/muat-turun/pekeliling-dan-garis-panduan/ikhtisas/2018-7/2608-surat-pekeliling-ikhtisas-kpm-bilangan-2-tahun-2018-garis-panduan-pelaksanaan-dasar-murid-membawa-peranti-peribadi-ke-sekolah-kementerian-pendidikan-malaysia/file
Ministry of Education (MoE) Malaysia. (2019). Kenyataan media: Perkhidmatan talian internet di sekolah [Media release: Internet services in schools]. https://www.MoE.gov.my/index.php/pemberitahuan/kenyataan-media/5484-kenyataanmedia-perkhidmatan-talian-internet-di-sekolah
Mohd Paris, S., & Saedah, S. (2016). Analisis keperluan pembangunan model pengajaran mata pelajaran sejaran sekolah menengah [Needs analysis of m-learning teaching model for secondary school history subjects]. Jurnal Kurikulum & Pengajaran Asia Pasifik, 4(4), 12-24. https://juku.um.edu.my/index.php/JUKU/article/view/8208
Naresh, B., Reddy, B. S., & Pricilda, U. (2016). A study on the relationship between demographic factor and e-learning readiness among students in higher education. Sona Global Management Review, 10(4), 1-11. https://www.sonamgmt.org/journal/previous-issues/aug-2016/august-2016-demographic-factor.pdf
Nepal, R., & Rogerson, A. M. (2020). From theory to practice of promoting student engagement in business and law-related disciplines: The case of undergraduate economics education. Education Sciences, 10(8), 205. https://doi.org/10.3390/educsci10080205
Noornadiah, M. S., & Khoo, Y. Y. (2021). The effect of Google Classroom-assisted learning on self-efficacy among Form Six economics students. International Journal of Academic Research in Business and Social Sciences, 11(11), 1922–1938. https://doi.org/10.6007/IJARBSS/v11-i11/11527
Nor Zanira, A. M., & Hafizul, F. H. (2020). Blended learning in Islamic studies. International Journal of Academic Research in Progressive Education and Development, 9(2), 299-308. http://dx.doi.org/10.6007/IJARPED/v9-i2/7303
Nunnally, J., & Bernstein, I. (1994). Psychometric theory. McGraw Hill.
Padilla-Meléndez, A., Aguila-Obra, A. R., & Garrido-Moreno, A. (2013). Perceived playfulness, gender differences and technology acceptance model in a blended learning scenario. Computers & Education, 63, 306-317. https://doi.org/10.1016/j.compedu.2012.12.014
Pratama, A (2021). Modification of the technology acceptance model in the use of Google classroom in the COVID-19 era: A case studies in junior high schools. Cypriot Journal of Educational Science, 16(5), 2598-2608. https://doi.org/10.18844/cjes.v16i5.6336
Priyaadharshini, M., & Vinayaga Sundaram, B. (2018). Evaluation of higher-order thinking skills using learning style in an undergraduate engineering in flipped classroom. Computer Applications in Engineering Education, 26(6), 2237-2254. https://doi.org/10.1002/cae.22035
Ramlee, I., Marinah, A., Seow, Y. P., & Muhammad Ridhuan, B. A. (2020). Active learning in economic subject: A case study at secondary school. International Journal of Learning, Teaching and Educational Research, 19(10), 19-31. https://doi.org/10.26803/ijlter.19.10.2
Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2019). Challenges in the online component of blended learning: A systematic review. Computers & Education, 144, 103701. https://doi.org/10.1016/j.compedu.2019.103701
Saroia, A. I., & Gao, S. (2018). Investigating university students’ intention to use mobile learning management systems in Sweden. Innovations in Education and Teaching International, 56(5), 569-580. https://doi.org/10.1080/14703297.2018.1557068
Sekeran, U., & Bougie, R. (2010). Research methods for business: A skill building approach (5th ed.). John Willey & Sons.
Shaharanee, I. N. M., Jamil, J. M., & Rodzi, S. S. M. (2016). Google Classroom as a tool for active learning. AIP Conference Proceedings 1761, 020069. https://doi.org/10.1063/1.4960909
Soh, P. C. H., Yan, Y. L., Ong, T. S., & Teh, B. H. (2012). Digital divide amongst urban youths in Malaysia: Myth or reality? Asian Social Science, 8(15), 75 85. https://doi.org/10.5539/ass.v8n15p75
Sulisworo, D., Agustin, S. P., & Sudarmiyati, E. (2016). Cooperative-blended learning using Moodle as an open source learning platform. International Journal of Technology Enhanced Learning, 8(2), 187-198. https://doi.org/10.1504/IJTEL.2016.078089
Syed Ahmad, T., Ramlan, Z., & Kumar Krishnan, S. (2020). Acceptance of Google Classroom for learning English exit test. International Journal of Modern Languages and Applied Linguistics, 4(1), 67-76. https://doi.org/10.24191/ijmal.v4i1.9504
Terzis, V., & Economides, A. A. (2011). Computer based assessment: Gender differences in perceptions and acceptance. Computers in Human Behavior, 27(6), 2108-2122. https://doi.org/10.1016/j.chb.2011.06.005
UNICEF Malaysia. (2020). Executive summary: Malaysia edition. Our lives online: Use of social media by children and adolescents in East Asia – Opportunities, risks and harms. https://www.unicef.org/malaysia/media/1501/file/Our_lives_online_-_Executive_Summary.pdf
Van Alten, D. C. D., Phielix, C., Janssen, J., & Kester, L. (2020). Self-regulated learning support in flipped learning videos enhances learning outcomes. Computers & Education, 158, 104000. https://doi.org/10.1016/j.compedu.2020.104000
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. https://doi.org/10.2307/30036540
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Wan Nazari, W. A. A., Abd Raub, N. A., Rama, L., & Yunus, M. M. (2019). Painting pictures with words via Google Classroom. International Journal of Scientific & Technology Research, 8(12), 1877-1881. https://www.ijstr.org/final-print/dec2019/Painting-Pictures-With-Words-Via-Google-Classroom.pdf
Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92-118. https://doi.org/10.1111/j.1467 8535.2007.00809.x
Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the COVID-19 pandemic. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239-021-00252 3
Zulfikar, A. F., Muhidin, A., Pranoto, Suparta, W., Trisetyarso, A., Abbas, B. S., & Kang, C. H. (2019). The effectiveness of online learning with facilitation method. Procedia Computer Science, 161, 32-40. https://doi.org/10.1016/j.procs.2019.11.096
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