A Study of Mobile Devices’ Acceptance in Developing EFL Listening Skill among Vietnamese High School Learners

Authors

DOI:

https://doi.org/10.54855/ijte.22226

Abstract

This research explored mobile devices' acceptance in EFL listening skills among Vietnamese high school learners by utilizing the updated Unified Theory of Acceptance and Use of Technology (UTAUT). The data collection method used was semi-structured interviews and quantitative surveys with 260 students from several high schools located throughout central and southern Vietnam. It was revealed that high school learners in Vietnam had a positive perspective toward the integration of mobile devices to develop their EFL listening skills and showed their readiness to adopt these educational tools in the future to this skill, owing to the educational benefits offered by these devices and the fruitful achievement achieved by learners. The findings also indicated that the constructs of the UTAUT positively correlated with each other. Specifically, effort expectancy, performance expectancy, facilitating condition, social influence, behavioral intention, and attitude had a positive correlation with one another. Moreover, the outcomes suggested that this model could explain up to 63% of the variance in learners' behavioral intention to adopt mobile devices to enhance the development of their EFL listening skills. Furthermore, the strongest predictor of behavioral intention was attitude, followed by performance expectancy and facilitating condition. Additionally, performance expectancy was discovered to best predict attitude, subsequently facilitating condition and social influence. Based on the main findings, some implications were addressed.

Author Biographies

  • Nguyen Thi Mo, National Taiwan University of Science and Technology, Taipei City, Taiwan

    Nguyen Thi Mo, a Master’s student in the Department of Applied Foreign Languages at National Taiwan University of Science and Technology, Taipei City, Taiwan, graduated in Feb 2022. Her research interests include English Language Teaching and MALL.

  • Huei-Chun Teng, National Taiwan University of Science and Technology, Taipei, Taiwan

    Huei-Chun Teng is a professor in the Department of Applied Foreign Languages at National Taiwan University of Science and Technology, Taipei, Taiwan. Her research areas include Listening Comprehension, Oral Communication, Language Testing, Learning Strategy.

References

Abu-Al-Aish, A., & Love, S. (2013). Factors influencing students’ acceptance of m-learning: An investigation in higher education. International Review of Research in Open and Distributed Learning, 14(5), 82-107.

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 227-247. https://doi.org/10.2307/249577

Ahmad, T. (2020). Student perceptions on using cell phones as learning tools: Implications for mobile technology usage in Caribbean higher education institutions. PSU Research Review.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology Acceptance Model in M-learning context: A systematic review. Computers & Education, 125, 389-412.

Almaiah, M. A., Jalil, M. A., & Man, M. (2016). Extending the TAM to examine the effects of quality features on mobile learning acceptance. Journal of Computers in Education, 3(4), 453-485.

Arning, K., & Ziefle, M. (2007). Understanding age differences in PDA acceptance and performance. Computers in Human Behavior, 23(6), 2904-2927.

Attuquayefio, S., & Addo, H. (2014). Using the UTAUT model to analyze students’ ICT adoption. International Journal of Education and Development using ICT, 10(3), 75-86. https://www.learntechlib.org/p/148478/

Avci, U., & Askar, P. (2012). The comparison of the opinions of the university students on the usage of blog and wiki for their courses. Educational Technology & Society, 15(2), 194–205.

Azar, A. S., & Nasiri, H. (2014). Learners' attitudes toward the effectiveness of mobile-assisted language learning (MALL) in L2 listening comprehension. Procedia-Social and Behavioral Sciences, 98, 1836-1843.

Azli, W. U. A. W., Shah, P. M., & Mohamad, M. (2018). Perception on the usage of mobile-assisted language learning (MALL) in English as a second language (ESL) learning among vocational college students. Creative Education, 9(01), 84-98. https://doi.org/10.4236/ce.2018.91008

Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45(7), 659-686.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Eaglewood Cliffs: Prentice-Hall

Begum, R. (2011). Prospect for cell phones as instructional tools in the EFL classroom: A case study of Jahangirnagar University, Bangladesh. English Language Teaching, 4(1), 105-115.

Benbasat, I., & Barki, H. (2007). Quo Vadis TAM?. Journal of the association for information systems, 8(4), 7.

Botero, G. G., Questier, F., Cincinnato, S., He, T., & Zhu, C. (2018). Acceptance and usage of mobile assisted language learning by higher education students. Journal of Computing in Higher Education, 30(3), 426-451.

Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Méndez, J. A., & García-Peñalvo, F. J. (2017). Learning with mobile technologies–Students’ behavior. Computers in Human Behavior, 72, 612-620.

Buck, G. (2001). Assessing listening. Cambridge: Cambridge University Press.

Caro Lora, J. J., & Peinado Agresott, L. A. (2019). Using Mobile-Assisted Language Learning (MALL) to Enhance 10th Graders’ Listening Skill: An Exploratory Case Study. https://repositorio.unicordoba.edu.co/handle/ucordoba/2465.

Caudill, J. G. (2007). The growth of m-learning and the growth of mobile computing: Parallel developments. The International Review of Research in Open and Distributed Learning, 8(2), 1-13.

Chang, C. C., Yan, C. F., & Tseng, J. S. (2012). Perceived convenience in an extended technology acceptance model: Mobile technology and English learning for college students. Australasian Journal of Educational Technology, 28(5), 809-826. http://doi.org/10.14742/ajet.818.

Chavoshi, A., & Hamidi, H. (2019). Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran. Telematics and Informatics, 38, 133-165.

Chinnery, G. M. (2006). Going to the MALL: Mobile assisted language learning. Language Learning & Technology, 10(1), 9-16.

Chung, H. H., Chen, S. C., & Kuo, M. H. (2015). A study of EFL college students’ acceptance of mobile learning. Procedia-Social and Behavioural Sciences, 176, 333-339.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719–734.

Fayed, I., Yacoub, A., & Hussein, A. (2013, October). Exploring the impact of using tablet devices in enhancing students listening and speaking skills in tertiary education. In 12th World Conference on Mobile and Contextual Learning (mLearn 2013) (Vol. 2013, No. 3, p. 1). Hamad bin Khalifa University Press (HBKU Press).

Fishbein, M., Jaccard, J., Davidson, A. R., Ajzen, I., & Loken, B. (1980). Predicting and understanding family planning behaviors. In Understanding attitudes and predicting social behavior. Prentice-Hall.

Gilakjani, A. P., & Sabouri, N. B. (2016). The significance of listening comprehension in English language teaching. Theory and Practice in Language Studies, 6(8), 1670-1677.

Ha, G. L., & Ngo, T. C. T. (2021). Challenges in learning listening comprehension via Microsoft Teams among English majors at Van Lang University. International Journal of TESOL & Education, 1(3), 142-175. Retrieved from http://i-jte.org/index.php/journal/article/view/36

Hamouda, A. (2013). An investigation of listening comprehension problems encountered by Saudi students in the EL listening classroom. International Journal of Academic Research in Progressive Education and Development, 2(2), 113-155.

Hashim, K. F., Tan, F. B., & Rashid, A. (2015). Adult learners’ intention to adopt mobile learning: A motivational perspective. British Journal of Educational Technology, 46, 381–390. https://doi.org/10.1111/bjet.12148F.

Harmer, J. (2007). The practice of English language teaching. Harlow: Pearson Longman.

Hao, S., Dennen, V. P., & Mei, L. (2017). Influential factors for mobile learning acceptance among Chinese users. Educational Technology Research and Development, 65(1), 101-123.

Hsu, L. (2013). English as a foreign language learners' perception of mobile-assisted language learning: a cross-national study. Computer Assisted Language Learning, 26(3), 197-213.

Hoi, V. N. (2020). Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach. Computers & Education, 146, 103761. https://doi.org/10.1016/j.compedu.2019.103761

Hwang, W. Y., & Chen, H. S. (2013). Users’ familiar situational contexts facilitate the practice of EFL in elementary schools with mobile devices. Computer Assisted Language Learning, 26(2), 101-125.

Hwang, W. Y., Huang, Y. M., Shadiev, R., Wu, S. Y., & Chen, S. L. (2014). Effects of using mobile devices on English listening diversity and speaking for EFL elementary students. Australasian Journal of Educational Technology, 30(5), 503-516. https://doi.org/10.14742/ajet.237

Hwang, W. Y., Shadiev, R., & Huang, Y. M. (2014). Cognitive diffusion model with user-oriented context-to-text recognition for learning to promote high level cognitive processes. In Advanced Technologies, Embedded and Multimedia for Human-centric Computing (pp. 267-274). Springer, Dordrecht.

İnce, H. G. (2015). EFL learners' perceptions of educational podcasting, Doctoral dissertation, Bilkent University.

Iqbal, S., & Qureshi, I. A. (2012). M-learning adoption: A perspective from a developing country. International Review of Research in Open and Distributed Learning, 13(3), 147-164.

Kim, H. S. (2013). Emerging mobile apps to improve English listening skills. Multimedia-Assisted Language Learning, 16(2), 11-30.

Kukulska-Hulme, A., Norris, L., & Donohue, J. (2015). Mobile pedagogy for English language teaching: a guide for teachers. The British Council. Online publication. Retrieved June 15, 2015 from http://englishagenda.britishcouncil.org/researchpapers/mobile-pedagogy-english-language-teaching-guide-teachers

Lai, C., Li, X., & Wang, Q. (2017). Students’ perceptions of teacher impact on their self-directed language learning with technology beyond the classroom: Cases of Hong Kong and U.S. Educational Technology Research & Development, 65(4), 1105–1133.

Lai, C., & Zheng, D. (2018). Self-directed use of mobile devices for language learning beyond the classroom. ReCALL, 30(3), 299–318.

Lawrence, B. (2015). Learner Receptiveness Towards Mobile Technology in a College English Program: The Smart Decision? English Teaching, 70(1), 3-28. http://doi.org/10.15858/engtea.70.1.201503.3

Lee, M. J. W. (2005). Getting a move on with mobile learning. Training Journal, 13. Retrieved on December 10, 2007, from the World Wide Web http://www.trainingjournal.com/tj/158.html

Lin, S., Zimmer, J. C., & Lee, V. (2013). Podcasting acceptance on campus: The differing perspectives of teachers and students. Computers & Education, 68, 416-428.

Mehta, N. K. (2012). Mobile phone technology in English teaching: Causes & concerns. The Modern Journal of Applied Linguistics, 2(4), 82-92.

Milošević, I., Živković, D., Manasijević, D., & Nikolić, D. (2015). The effects of the intended behavior of students in the use of M-learning. Computers in Human Behavior, 51, 207-215.

Moran, M., Hawkes, M., & Gayar, O. E. (2010). Tablet personal computer integration in higher education: Applying the unified theory of acceptance and use technology model to understand supporting factors. Journal of Educational Computing Research, 42(1), 79-101.

Nash, S. S. (2007). Mobile learning, cognitive architecture and the study of literature. Issues in Informing Science and Information Technology (IISIT), 4, 811-818. Retrieved January 9, 2012, from the World Wide Web http://proceedings.informingscience.org/InSITE2007/ IISITv4p 811-818Nash399.pdf.

Nassuora, A. B. (2012). Students acceptance of mobile learning for higher education in Saudi Arabia. American Academic & Scholarly Research Journal, 4(2), 24-30.

Pham, M. T., Luu, T. T. U., Mai, T. H. U., Thai, T. T. T., & Ngo, T. C. T. (2022). EFL Students’ Challenges of Online Courses at Van Lang University during the COVID-19 Pandemic. International Journal of TESOL & Education, 2(2), 1-26. https://doi.org/10.54855/ijte.22221

Rogers, E. M. (1995). Diffusion of Innovations: modifications of a model for telecommunications. In Die diffusion von innovationen in der telekommunikation (pp. 25-38). Springer, Berlin, Heidelberg.

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.

Saran, M., Seferoglu, G., & Cagiltay, K. (2012). Mobile language learning: Contribution of multimedia messages via mobile phones in consolidating vocabulary. The Asia-Pacific Education Researcher, 21(1), 181-190.

Sevari, K. (2012). The role of mobile phones in education and instruction of classroom materials. Advances in education, 1(1), 19-22.

Stockwell, G. (2010). Using mobile phones for vocabulary activities: Examining the effect of platform. Language learning & technology, 14(2), 95-110.

Straub, D., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information & Management, 33(1), 1–11. https://doi.org/10.1016/S0378-7206(97)00026-8.

Šumak, B., & Šorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre-and post-adopters. Computers in Human Behavior, 64, 602-620.

Tan, P. J. B. (2013). Applying the UTAUT to understand factors affecting the use of English e-learning websites in Taiwan. Sage Open, 3(4), 2158244013503837.

Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 561-570.

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.

Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302-312.

Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440.

Thomas, T., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using ICT, 9(3), 71-85

Tosuntaş, Ş. B., Karadağ, E., & Orhan, S. (2015). The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology. Computers & Education, 81, 169-178.

Tran, T. Q., & Duong, T. M. (2020). Insights into Listening Comprehension Problems: A Case Study in Vietnam. PASAA: Journal of Language Teaching and Learning in Thailand, 59, 77-100.

Triandis, H. C. (1977). Interpersonal behavior. Monterey: Brooke Cole.

Vandergrift, L. (2007). Recent developments in second and foreign language listening comprehension research. Language Teaching, 40(3), 191-210.

Van Schaik, P. (2009). Unified theory of acceptance and use for websites used by students in higher education. Journal of Educational Computing Research, 40(2), 229–257.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.

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.

Yeap, J. A., Ramayah, T., & Soto-Acosta, P. (2016). Factors propelling the adoption of m-learning among students in higher education. Electronic Markets, 26(4), 323-338.

Yueh, H. P., Huang, J. Y., & Chang, C. (2015). Exploring factors affecting students’ continued Wiki use for individual and collaborative learning: An extended UTAUT perspective. Australasian Journal of Educational Technology, 31(1). https://doi.org/10.14742/ajet.170

Zhang, Y. (2016). The Impact of Mobile Learning on ESL Listening Comprehension. DEStech Transactions on Social Science, Education and Human Science, (icaem). https://doi. org/10.12783/dtssehs/icaem2016/4290.

Downloads

Published

19-04-2022

Issue

Section

Research Article

How to Cite

Nguyen, T. M., & Teng, H. C. (2022). A Study of Mobile Devices’ Acceptance in Developing EFL Listening Skill among Vietnamese High School Learners. International Journal of TESOL & Education, 2(2), 95-118. https://doi.org/10.54855/ijte.22226