ISSN: 2222-6990
Open access
Technology acceptance and satisfaction refers to the application effect and user experience of technology. Understanding student acceptance and satisfaction with technology can help optimize educational tools and methods, improve the effectiveness of teaching strategies, and enhance learning outcomes. However, relatively little attention has been paid to students’ learning experiences, including technology acceptance and satisfaction. Therefore, the quantitative methodology was used in this research to explore 60 English as a foreign language (EFL) college students’ learning experience through questionnaires. The results showed that students’ technology acceptance was moderate and some students still faced some barriers when using the software. Furthermore, students had a high level of satisfaction when using the platform. They had a positive attitude towards the effectiveness of teachers’ teaching, but they were less satisfied with the function of the software and its role in improving learning interest. Therefore, cultivating students’ digital literacy is still an issue that needs attention in future education. All parties involved in education are advised to take full advantage of educational technology to improve students’ learning experience in the future.
Akour, I., Alshurideh, M., Al Kurdi, B., Al Ali, A., & Salloum, S. (2021). Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach. JMIR Medical Education, 7(1), e24032.
Al-Adwan, A., Al-Adwan, A., & Smedley, J. (2013). Exploring students acceptance of e-learning using Technology Acceptance Model in Jordanian universities. International Journal of Education and Development using ICT, 9(2).
Alfadda, H. A., & Mahdi, H. S. (2021). Measuring students’ use of zoom application in language course based on the technology acceptance model (TAM). Journal of Psycholinguistic Research, 50(4), 883-900.
Chen, Y. L., & Hsu, C. C. (2020). Self-regulated mobile game-based English learning in a virtual reality environment. Computers & Education, 154, 103910.
Davis, F. D. (1989). Technology acceptance model: TAM. Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption, 205, 219.
El-Sofany, H., & El-Haggar, N. (2020). The Effectiveness of Using Mobile Learning Techniques to Improve Learning Outcomes in Higher Education. International Association of Online Engineering. Retrieved June 17, 2024 from https://www.learntechlib.org/p/216981/.
Hulin, C., Netemeyer, R., and Cudeck, R. (2001). Can a Reliability Coefficient Be Too High? Journal of Consumer Psychology, 10(1), 55-58.
Hutcheson, G. D., Sofroniou, N. (1999). The multivariate social scientist. London: Sage. 224–5.
Isbell, D., Rawal, H., Oh, R., & Loewen, S. (2017). Narrative perspectives on self-directed foreign language learning in a computer- and mobile-assisted language learning context. Language, 2(2), 1–20.
Li, X., & Heng, Q. (2021). Design of mobile learning resources based on new blended learning: a case study of superstar learning app. In 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI), 333-338).
Saris, W. E., & Gallhofer, I. N. (2014). Design, evaluation, and analysis of questionnaires for survey research. John Wiley & Sons.
Shemshack, A., Kinshuk, & Spector, J. M. (2021). A comprehensive analysis of personalized learning components. Journal of Computers in Education, 8(4), 485-503.
Shim, T. E., & Lee, S. Y. (2020). College students’ experience of emergency remote teaching due to COVID-19. Children and youth services review, 119, 105578.
Xu, X. (2023). Research on Blending Teaching of College English Based on Superstar Learning App. The Educational Review, USA, 7(8), 1184-1188.
Bochang, Z., & Li, Yi. (2012). Analysis of the Application of Questionnaire Survey Method in the Field of Educational Research. Open Education Research, 18(6), 6.
(Sun & Yahaya, 2024)
Sun, D., & Yahaya, N. bin. (2024). Technology Acceptance and Satisfaction of EFL College Students Using Super Star Learning Platform for Empowering English Language Learning. International Journal of Academic Research in Business and Social Sciences, 14(7), 382–391.
Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seenavc at: http://creativecommons.org/licences/by/4.0/legalcode