Predicting EFL Learners’ Self-Regulated Learning through Technology Acceptance Model
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DOI:
https://doi.org/10.30762/jeels.v11i1.2701Keywords:
Internet self-efficacy, perceived ease of use of technology, perceived usefulness of technology, Self-regulated learning, technology- mediated English language learningAbstract
The purpose of this study is to assess the perceived usefulness of technology (PUT), internet self-efficacy (ISE), and perceived ease of use of technology (PEUT), and self-regulated learning (SRL) of EFL student teachers who participated in technology-mediated English learning environment. After obtaining and validating the questionnaire adapted from several relevant sources, an online survey was conducted to 363 third- and fourth-year student teachers of the English education department in Indonesian universities who met the required criteria. SEM was performed to test three hypotheses about the causal relationship between variables. Due to the hypotheses tested, it is revealed that ISE and PEUT have a partially positive and significant effect on SRL, while PUT has a positive but insignificant effect on SRL. Additionally, it is determined that the exogenous variables (PEUT) is the most influential variable on the endogenous variables (SRL). These findings are expected to add to a body of knowledge, particularly in the development of learning autonomy in teacher education, and that ISE and PEUT, in particular, should be considered as important predictors of SRL in technological English learning setting.
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Artino, A. R., & Stephens, J. M. (2009). Academic motivation and self-regulation: a comparative analysis of undergraduate and graduate students learning online. Internet and Higher Education, 12, 146–151. http://doi.org/10.1016/j.iheduc.2009.02.001
Askar, P., & Umay, A. (2001). Perceived computer self-efficacy of the students in the elementary mathematics teaching programme. The Journal of Education, 2, 1-8.
Baser, D., Kopcha, T.J., & Ozden, M.Y. (2015). Developing a technological pedagogical content knowledge (TPACK) assessment for preservice teachers learning to teach English as a foreign language. Computer Assisted Language Learning, p. 1–16. http://doi.org/10.1080/09588221.2015.1047456
Broadbent, J. & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13. http://doi.org/10.1016/j.iheduc.2015.04.007
Chuang, Weng, & Huang. (2015). A structure equation model among factors of teachers' technology integration practice and their TPCK. Computers & Education 86, 182-191. http://doi.org/10.1016/j.compedu.2015.03.016
Dennen & Hao. (2014). Intentionally mobile pedagogy: the M-COPE framework for mobile learning in higher education. Technology, Pedagogy and Education, 23 (3), 397–419. http://doi.org/10.1080/1475939X.2014.943278
Entusiastik & Yuniar D.A. Siregar. (2022). The Role of classroom interaction in online learning: Voices from the students. JEELS, 9(1), 51-73. http://doi.org/10.30762/jeels.v9i1.4182
Golladay, Prybutok, & Huff. (2000). Critical success factors for the Online learner. Journal of Computer Information Systems, 40(4), 69-71.
Hamidi & Chavoshi. (2018). Analysis of the essential factors for the adoption of mobile learning in higher education: A case study of students of the University of Technology. Telematics and Informatics, 35, 1053–1070. http://doi.org/10.1016/j.tele.2017.09.016
Holden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on teachers' technology acceptance. Journal of Research on Technology in Education, 43(4), 343-367. http://doi.org/10.1080/15391523.2011.10782576
Hair, J.F. Jr., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2014).A primer on partial least squares structural equation modeling (PLS-SEM). USA: SAGE Publications, Inc Harris, K. R., & Graham, S. (2009). Self-regulated strategy development in writing: Premises, evolution, and the future. British Journal of Educational Psychology, 2(6), 113–135.
Hani, N.A. (2014). Benefits and barriers of computer assisted language learning and teaching in the Arab world: Jordan as a model. Theory Practice. Language. Study, 4 (8), 1609–1615. http://doi.org/10.4304/tpls.4.8.1609-1615
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems, 116(1), 2-20. DOI 10.1108/IMDS-09-2015-0382
Lai, C., Shum, M., & Tian, Y., (2016) Enhancing learners’ self-directed use of technology for language learning: the effectiveness of an online training platform. Computer Assisted Language Learning, 29(1), 40-60. http://doi.org/10.1080/09588221.2014.889714
Lai & Gu. (2011). Self-regulated out-of-class language learning with technology. Computer Assisted Language Learning. 24(4), 317–335. http://doi.org/10.1080/09588221.2011.568417
Lai, C. (2013). A framework for developing self-directed technology use for language learning. Language, Learning and Technology, 17(2), 100-122. http://hdl.handle.net/10722/187559
Liaw, S.-S., & Huang, H.-M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education, 60(1), 14–24. http://doi.org/10.1016/j.compedu.2012.07.015.
Liu, S.-H. (2017). Relationship between the factors influencing online help-seeking and self-regulated learning among Taiwanese preservice teachers. Computers in Human Behavior, 72, 38–45. http://doi.org/10.1016/j.chb.2017.02.034.
Mei, B. (2019). Preparing preservice EFL teachers for CALL normalization: A technology acceptance perspective. System, 83, 13-24. http://doi.org/10.1016/j.system.2019.02.011.
Meredith D. Gall, Joyce P. Gall, & Walter R. Borg (2003). Educational research: An Introduction. Allyn and Bacon.
Narcis, S., Proske, A.,& Koerndle, H. (2007). Promoting self-regulated learning in web-based learning environments. Computers in Human Behavior, 23, 1126–1144Noroozi, O., Weinberger, A., Biemans, H. J. A., Mulder, M., & Chizari, M. (2012). Argumentation-based computer supported collaborative learning (ABCSCL): A synthesis of 15 years of research. Educational Research Review, 7, 79–106.
Rains, Stephen A. (2008). Seeking Health Information in the Information Age: The Role of Internet Self-Efficacy. Western Journal of Communication, 72(1), 1–18. http://doi.org/10.1080/10570310701827612.
Scherer, R., Siddiq, F., & Teo, T. (2015). Becoming more specific: Measuring and modeling teachers’ perceived usefulness of ICT in the context of teaching and learning. Computers & Education, 88, 202–214. http://doi.org/10.1016/j.compedu.2015.05.005
Schmid, M., Eliana, B., Petko, & Dominik. (2020). Efficient self-report measures for technological pedagogical content knowledge (TPACK): Constructing a reliable and valid short-scale among pre-service teachers. Computers & Education, http://doi.org/10.1016/j.compedu.2020.103967
Serwatka, J. A. (2003). Assessment in on-line CIS courses. Journal of Computer Information Systems, 44(1), 16–20.
Sharma, S., Dick, G., Chin, W. W., & Land, L. (2007). Self-regulation and e-learning. In Proceedings of the Fifteenth European Conference on Information System (pp. 383–394). St. Gallen: University of St. Gallen.
Sun, J., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191–204. http://doi.org/10.1111/j.1467-8535.2010.01157.x
Sulistyo, T., Widiastuti, O., Mafulah, S., Puspitasari, Y., & Holland, T. (2023). Online feedback in integrating blogging: Cultivating students’ writing performance and learning engagement. JEELS, 10(2), 263-283. http://doi.org/ 10.30762/jeels.v10i2.
Tsai, C. C. (2009). Conceptions of learning versus conceptions of web-based learning: the differences revealed by college students. Computers & Education, 53(4), 1092-1103. http://doi.org/10.1016/j.compedu.2009.05.019
Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of internet self-efficacy. Innovations in Education and Teaching International, 40, 43–50. http://doi.org/10.1080/1355800032000038822
Tinsley, H.E.A., & Tinsley, D.J. (1987). Uses of factors analysis in counseling psychology research. Journal of Counseling Psychology, 34(4), 414-424. http://doi.org/10.1037/0022-0167.34.4.414
Tsai, C. C., Chuang, S.C., Liang, J. C., & Tsai, M. J. (2011). Self-efficacy in Internet-based learning environments: A literature review. Educational Technology & Society, 14(4), 222–240.
Tsai, M. J., & Tsai, C. C. (2003). Information searching strategies in web-based science learning: The role of internet self-efficacy. Innovations in Education and Teaching International, 40, 43–50. http://doi.org/10.1080/135580003200
Wang, C.-H., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302–323. http://doi.org/10.1080/01587919.2013.835779.
Yang, Yanxia & Xiangling Wang.(2019). Modeling the intention to use machine translation for student translators: An Extension of Technology Acceptance Model. Computer & Education, 133, 116-126. http://doi.org/10.1016/j.compedu.2019.01.015
Yaghoobi, M., & Razmjoo, S. A. (2016). The potentiality of computer-assisted instruction towards ameliorating Iranian EFL learners’ reading level. Computers in Human Behavior, 59, 108–114. http://doi.org/10.1016/j.chb.2016.01.033.
Yeh, S.-W., Lo, J.-J., & Chu, H.-M. (2014). Application of online annotations to develop a web-based Error Correction Practice System for English writing instruction. System, 47, 39–52. http://doi.org/10.1016/j.system.2014.09.015.
Yurkofsky, Maxwell M., Blum-Smith, S., & Brennan K. (2019). Expanding outcomes: Exploring varied conceptions of teacher learning in an online professional development experience. Teaching and Teacher Education, 82, 1-13. http://doi.org/10.1016/j.tate.2019.03.002
Zheng, C., Liang, Jyh-Chong., Yang, Yu-Fang., &Tsai, Chin-Chung. (2016).The relationship between Chinese university students' conceptions of language learning and their online self-regulation. System, 57, 66-78. http://doi.org/10.1016/j.system.2016.01.005
Zheng, C., Liang, Jyh-Chong., Li, M., & Tsai, Chin-Chun. (2018). The relationship between English language learners’ motivation and online self-regulation: A structural equation modelling approach. System, 76, 144-157. http://doi.org/10.1016/j.system.2018.05.003
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