Archives
Current issue
About
About us
Aims and Scope
Abstracting and Indexing
Editorial Office
Open Access Policy
Publication Ethics
Journal History
Publisher
Follow us: Twitter
Contact
For Authors
Editorial Policy
Peer Review Policy
Manuscript Preparation Guidelines
Copyright & Licencing
Publication Fees
Fee Waiver Policy for Doctoral Students
EJMSTE Language Editing Service
More
Statistics
Special Issues
Special Issue Announcements
Published Special Issues
RESEARCH PAPER
Factors that influence students’ acceptance of mobile learning for EFL in higher education
1
Department of Applied English, Chaoyang University of Technology, Wufong District, Taichung City, TAIWAN
Online publication date: 2023-04-25
Publication date: 2023-06-01
EURASIA J. Math., Sci Tech. Ed 2023;19(6):em2279
KEYWORDS
ABSTRACT
Using mobile learning (m-learning) to study English as a foreign language (EFL) has provided new
opportunities for innovative learning, particularly for today’s younger generation who have grown
up with digital technology. It can effectively promote teaching and learning by maintaining
students’ engagement. This study aimed to investigate the factors that influence university
students’ acceptance of m-learning for EFL in Taiwan. A survey questionnaire was administered to
327 participants, and the data was analyzed using descriptive statistics, t-tests, one-way ANOVA,
and Pearson’s correlation. The results indicated that all factors received relatively high scores, with
perceived ease of use, attitude toward use receiving the highest scores. This suggests that
students widely accept m-learning as a means of studying EFL. The key to creating a successful
m-learning experience is for students to accept it as an educational tool and be willing to use it.
Therefore, it is recommended that m-learning be considered as a potential tool to improve EFL
students’ language proficiency.
REFERENCES (47)
1.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5....
2.
Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93-102. https://doi.org/10.1016/j.chb.....
3.
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology acceptance model in m-learning context: A systematic review. Computers & Education, 125, 389-412. https://doi.org/10.1016/j.comp....
4.
Alharbi, S., & Drew, S. (2014). Using the technology acceptance model in understanding academics’ behavioral intention to use learning management systems. International Journal of Advanced Computer Science and Applications, 5(1), 143-155. https://doi.org/10.14569/IJACS....
5.
Almaiah, M. A., & Alismaiel, O. A. (2019). Examination of factors influencing the use of mobile learning system: An empirical study. Education and Information Technologies, 24(1), 885-909. https://doi.org/10.1007/s10639....
6.
Al-Rahmi, A. M., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al-Adwan, A. S. (2022). Acceptance of mobile technologies and M-learning by university students: An empirical investigation in higher education. Education and Information Technologies, 27(6), 7805-7826. https://doi.org/10.1007/s10639....
7.
Althunibat, A. (2015). Determining the factors influencing students’ intention to use m-learning in Jordan higher education. Computers in Human Behavior, 52, 65-71. https://doi.org/10.1016/j.chb.....
8.
Baran, E. (2014). A review of research on mobile learning in teacher education. Educational Technology & Society, 17(4), 17-32.
9.
Bassam Nassuora, A. (2013). Students acceptance of mobile learning for higher education in Saudi Arabia. International Journal of Learning Management Systems, 1(1), 1-9. https://ijlms.journals.ekb.eg/....
10.
Busulwa, H. S., & Bbuye, J. (2018). Attitudes and coping practices of using mobile phones for teaching and learning in a Uganda secondary school. Open Learning: The Journal of Open, Distance and e-Learning, 33(1), 34-45. https://doi.org/10.1080/026805....
11.
Chang, S.-C., & Tung, F.-C. (2008). An empirical investigation of students’ behavioral intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71-83. https://doi.org/10.1111/j.1467....
12.
Chee, K. N., Yahaya, N., Ibrahim, N. H., & Hasan, M. N. (2017). Review of mobile learning trends 2010-2015: A meta-analysis. Educational Technology & Society, 20(2), 113-126.
13.
Crompton, H. (2013). A historical overview of mobile learning: Toward learner-centered education. In Z. L. Berge, & L. Y. Muilenburg (Eds.), Handbook of mobile learning (pp. 3-14). Routledge.
14.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems : theory and results [Doctoral dissertation, Massachusetts Institute of Technology].
15.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008.
16.
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1....
17.
Dolzhich, E., Dmitrichenkova, S., & Ibrahim, M. K. (2021). Using m-learning technology in teaching foreign languages: A panacea during COVID-19 pandemic era. International Journal of Interactive Mobile Technologies, 15(15), 20-33. https://doi.org/10.3991/ijim.v....
18.
Evans, J. D. (1996). Straightforward statistics for the behavioral sciences. Brooks/Cole Pub. Co.
19.
Fallahkhair, S., Pemberton, L., & Griffiths, R. (2007). Development of a cross-platform ubiquitous language learning service via mobile phone and interactive television. Journal of Computer Assisted Learning, 23(4), 312-325. https://doi.org/10.1111/j.1365....
20.
Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the technology acceptance model (TAM) to examine faculty use of learning management systems (LMSs) in higher education institutions. Journal of Online Learning and Teaching, 11(2), 210-232. https://jolt.merlot.org/Vol11n....
21.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
22.
Gromik, N. A. (2012). Cell phone video recording feature as a language learning tool: A case study. Computers & Education, 58(1), 223-230. https://doi.org/10.1016/j.comp....
23.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Pearson Prentice Hall.
24.
Hsu, C.-K., Hwang, G.-J., & Chang, C.-K. (2013). A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students. Computers & Education, 63, 327-336. https://doi.org/10.1016/j.comp....
25.
Huang, J. H. (2007). Elucidating user behavior of mobile learning. The Electronic Library, 25(5), 585-598. https://doi.org/10.1108/026404....
26.
Hwang, G.-J., & Wu, P.-H. (2014). Applications, impacts and trends of mobile technology-enhanced learning: a review of 2008-2012 publications in selected SSCI journals. International Journal of Mobile Learning and Organization, 8(2), 83-95. https://doi.org/10.1504/ijmlo.....
27.
Kenning, M. (2007). ICT and language learning: From print to the mobile phone. Palgrave Macmillan. https://doi.org/10.1057/978023....
28.
Kukulska-Hulme, A. (2012). How should the higher education workforce adapt to advancements in technology for teaching and learning? The Internet and Higher Education, 15(4), 247-254. https://doi.org/10.1016/j.ihed....
29.
Kukulska-Hulme, A., & Shield, L. (2008). An overview of mobile assisted language learning: From content delivery to supported collaboration and interaction. ReCALL, 20(3), 271-289. https://doi.org/10.1017/S09583....
30.
Kukulska-Hulme, A., Sharples, M., Milrad, M., Arnedillo-Sánchez, I., & Vavoula, G. (2009). Innovation in mobile learning: A European perspective. International Journal of Mobile and Blended Learning, 1(1), 12-35. https://doi.org/10.4018/jmbl.2....
31.
Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12, 752-780. https://doi.org/10.17705/1CAIS....
32.
Lu, M. (2008). Effectiveness of vocabulary learning via mobile phone. Journal of Computer Assisted Learning, 24(6), 515-525. https://doi.org/10.1111/j.1365....
33.
Nah, K. C., White, P., & Sussex, R. (2008). The potential of using a mobile phone to access the Internet for learning EFL listening skills within a Korean context. ReCALL, 20(3), 331-347. https://doi.org/10.1017/S09583....
34.
Ogata, H., Yin, C., El-Bishouty, M. M., & Yano, Y. (2010). Computer supported ubiquitous learning environment for vocabulary learning. International Journal of Learning Technology, 5(1), 5-24. https://doi.org/10.1504/IJLT.2....
35.
Priyatno, A. (2017). Promoting learner autonomy through schoology m-learning platform in an EAP class at an Indonesian university. The Journal of Teaching English with Technology, 17(2), 55-76.
36.
Pruet, P., Ang, C. S., & Farzin, D. (2016). Understanding tablet computer usage among primary school students in underdeveloped areas: Students’ technology experience, learning styles and attitudes. Computers in Human Behavior, 55, 1131-1144. https://doi.org/10.1016/j.chb.....
37.
Sabah, N. M. (2016). Exploring students’ awareness and perceptions: Influencing factors and individual differences driving m-learning adoption. Computers in Human Behavior, 65, 522-533. https://doi.org/10.1016/j.chb.....
38.
Saroia, A. I., & Gao, S. (2019). 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/10.1080/147032....
39.
Shahrasbi, N. B., Jin, L., & Zheng, W.-J. (2021). Design thinking and mobile app development: A teaching protocol. Journal of Information Systems Education, 32(2), 92-105. https://jise.org/Volume32/n2/J....
40.
Shamsi, A. F., Altaha, S., & Gilanlioglu, I. (2019). The role of m-learning in decreasing speaking anxiety for EFL learners. International Journal of Linguistics, Literature and Translation, 2(1), 276-282.
41.
Sophonhiranrak, S. (2021). Features, barriers, and influencing factors of mobile learning in higher education: A systematic review. Heliyon, 7(4), e06696. https://doi.org/10.1016/j.heli....
42.
Stockwell, G., & Hubbard, P. (2013). Some emerging principles for mobile-assisted language learning. The International Research Foundation for English Language Education, 2013, 1-15. http://www.tirfonline.org/engl....
43.
Suki, M., & Suki, M. (2007). Mobile phone usage for m‐learning: Comparing heavy and light mobile phone users. Campus-Wide Information Systems, 24(5), 355-365. https://doi.org/10.1108/106507....
44.
Teo, T. (2011). Technology acceptance research in education. Sense Publications. https://doi.org/10.1007/978-94....
45.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342-365. https://doi.org/10.1287/isre.1....
46.
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/10.2307/300365....
47.
Woodill, G. (2010). The mobile learning edge: Tools and technologies for developing your teams. McGraw-Hill Education.
Share
RELATED ARTICLE
| eISSN: | 1305-8223 |
| ISSN: | 1305-8215 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
