Factors Influencing Chinese Vocational College Students' Satisfaction with Learning Management Platform

Authors

DOI:

https://doi.org/10.60027/ijsasr.2024.4366

Keywords:

Learning Management Platform; , Students’ Satisfaction; , Vocational College

Abstract

Background and Aim: In the rapidly evolving landscape of education, online learning platforms, such as the Chaoxing Learning Platform, have gained substantial attention. Recognizing the pivotal role of student satisfaction in the effectiveness of these platforms, this study aims to investigate the factors influencing college students' satisfaction specifically within the context of Beihai Vocational College.
Materials and Methods: This study employed a purposive sampling method, selecting 150 respondents from Beihai Vocational College who met the research objectives to ensure the representativeness and credibility of the survey results. Quantitative research methods were applied, utilizing measurement tools in various aspects, including system quality, information quality, interaction, perceived usefulness, and student satisfaction. Results of Cronbach’s Alpha of the research instruments show that the alpha coefficient of information quality and interaction is within the range of 0.8 to <0.9, and the alpha coefficient of system quality, perceived usefulness, and student satisfaction is within the range of 0.9. The level of Cronbach’s alpha in the variables is within very good to excellent level. This indicated the acceptable level of internal consistency of the research instrument, which confirmed the reliability of the research instrument. Ultimately, methods such as descriptive statistics and multivariate regression analysis were used to conduct in-depth data analysis, aiming to comprehensively understand the impact of the Chaoxing learning platform on student satisfaction.

Results: The results of the study showed that the independent variables system quality (β = 0.1465, P = 0.287), information quality (β = 0.3602, P = 0.016), and perceived usefulness (β = 0.5478, P = 0.005) were significantly positively correlated. In addition, the test also found that interaction (β = -0.0430, P = 0.084) did not have a significant effect on students' satisfaction with the Chaoxing Learning Platform at Beihai Vocational College.

Conclusion: The results of the study indicate that most of the students of Beihai Vocational College are satisfied with using the Chaoxing Learning Platform for learning, and students can learn, communicate, and collaborate well through this platform, which provides satisfactory learning results.

References

Al Habsyi, K.N.R. (2021). Analisis tingkat kepuasan pengguna e-learning Universitas Telkom menggunakan metode End-User Computing Satisfaction. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 7(1), 37-42.

Aldiab, A., Chowdhury, H., Kootsookos, A., Alam, F., & Allhibi, H. (2019). Utilization of Learning Management Systems (LMSs) in higher education system: A case review for Saudi Arabia. Energy Procedia, 160, 731-737.

Alzahrani, A. I., & Foo, S. (2019). Determinants of satisfaction and continuance intention of e-learning systems among students in Saudi Arabia. International Journal of Information Management, 46, 157-166.

Benta, D., Bologa, G., & Dzitac, I. (2014). E-learning platforms in higher education. Case study. Procedia Computer Science, 31, 1170-1176.

Celik, K. (2013). The Relationship between Individual Innovativeness and Self-efficacy Levels of Student Teachers. International Journal of Scientific Research in Education, 6, 56-67.

Cheng, T.C.E., Lam, D.Y.C., &Yeung, A.C.L. (2006). Adoption of Internet Banking: An Empirical Study in Hong Kong. Decision Support Systems, 42, 1558-1572. https://doi.org/10.1016/j.dss.2006.01.002

Chiou, J.-S., & Shen, C.-C. (2012). The antecedents of online financial service adoption: The impact of physical banking services on Internet banking acceptance. Behaviour & Information Technology. 31 (9), 859-871. 10.1080/0144929X.2010.549509.

Cigdem, H., & Ozturk, M. (2016). Factors Affecting Students’ Behavioral Intention to Use LMS at a Turkish Post-Secondary Vocational School. The International Review of Research in Open and Distributed Learning, 17(3). https://doi.org/10.19173/irrodl.v17i3.2253

Cigdem, H., & Yildirim, O. (2014). Effects Of Students’ Characteristics on Online Learning Readiness: A Vocational College Example. Turkish Online Journal of Distance Education. 15 (3). Doi: 10.17718/tojde.69439.

Datta-Barua, S., Su, Y., & Deshpande, K., Miladinovich, D., Bust, G., Hampton, D., & Crowley, G..(2015). First light from a kilometer-baseline Scintillation Auroral GPS Array: Scintillation Auroral GPS Array. Geophysical Research Letters. 42 (10). Doi:10.1002/2015GL063556.

Davis, F. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. https://doi.org/10.2307/249008

Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22 (14), 1111-1132. doi:10.1111/j.1559-1816.1992.tb00945.x

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.

Dias, F.A., Chance, J., & Buchanan, A. (2020).The motherhood penalty and The fatherhood premium in employment during covid-19: evidence from The united states. Research in Social Stratification and Mobility, 69, 100542, https://doi.org/10.1016/j.rssm.2020.100542.

Du, J.J., Jiang, L., Shao, Q., Liu, X. G., Marks, R.S., Ma, J., and Chen, X.D. (2013). Colorimetric detection of mercury ions based on plasmonic nanoparticles. Small, 91467-1481.

Ebadi, S., Khazaie, S., & Bashiri, S. (2020). Technology acceptance of Navid Learning Management System in Iranian Medical English courses under the COVID-19 pandemic. Journal of English Language Teaching and Learning, 12(27), 187-205.

Gamage, S.H.P.W., Ayres, J.R., & Behrend, M.B. (2022). A systematic review of trends in using Moodle for teaching and learning. International Journal of STEM Education, 9(1), 1-15.

Haddad, F.S. (2018). Examining the effect of learning management system quality and perceived usefulness on student satisfaction. Journal of Theoretical and Applied Information Technology, 96(23), 8034-8044.

Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis. 7th Edition, Pearson, New York.

Hongxing X., & Zhen Y. (2021, March 27–29). Student satisfaction with the blended teaching in an online vocal music course [Conference session]. 2021 9th International Conference on Information and Education Technology, Okayama, Japan (pp. 186–189). https://doi.org/10.1109/ICIET51873.2021.9419608

Irfan, M., Kusumaningrum, B., Yulia, Y., & Widodo, S. A. (2020). CHALLENGES DURING THE PANDEMIC: USE OF E-LEARNING IN MATHEMATICS LEARNING IN HIGHER EDUCATION. Infinity Journal. 9 (2), 147. Doi: 10.22460/infinity.v9i2.p147-158.

Joyce, H.S., & Rebecca, R. (2020). Conservation of Easel Paintings. London : Routledge. DOIhttps://doi.org/10.4324/9780429399916

Koh, J.H.L., & Kan, R.Y.P. (2020). Perceptions of learning management system quality, satisfaction, and usage: Differences among students of the arts. Australasian Journal of Educational Technology, 36(3), 26-40.

Mukhametshin, L.M., Salekhova, L.L., & Mukhametshina, M.M. (2019). Using the LMS Moodle system in the modern educational process. Philology and Culture, 3(3), 157-164.

Nakamura, W.T., Marques, L.C., Rivero, L., de Oliveira, E.H., & Conte, T. (2019), “Are scale-based techniques enough for learners to convey their UX when using a LMS?”, Revista Brasileira de Informática na Educação, 27 (1), 104-131.

Ohliati, J., & Abbas, B.S. (2019). Measuring student's satisfaction in using a learning management system. International Journal of Emerging Technologies in Learning (Online), 14(4), 180.

Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296.

Rahman, M.J.A., & Daud, M.Y., & Ensimau, N.K. (2019). Learning Management System (LMS) in Teaching and Learning. International Journal of Academic Research in Business and Social Sciences. 9 (11). Doi: 10.6007/IJARBSS/v9-i11/6717.

Sarker M. F. H., Mahmud R. A., Islam M. S., & Islam M. K. (2019). Use of e-learning at higher educational institutions in Bangladesh: Opportunities and challenges. Journal of Applied Research in Higher Education, 11(2), 210–223. https://doi.org/10.1108/JARHE-06-2018-0099

Taber, K. T. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48, 1273-1296. https://doi.org/10.1007/s11165-016-9602-2

Tavakol, M., & Dennick, R. (2011). Making Sense of Cronbach’s Alpha. International Journal of Medical Education, 2, 53-55.

http://dx.doi.org/10.5116/ijme.4dfb.8dfd

Venkatesh, V., et al. (2012). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

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Published

2024-09-01

How to Cite

Ye, F., & Phongsatha, T. . (2024). Factors Influencing Chinese Vocational College Students’ Satisfaction with Learning Management Platform. International Journal of Sociologies and Anthropologies Science Reviews, 4(5), 19–32. https://doi.org/10.60027/ijsasr.2024.4366