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Designing an Integrated CALL Evaluation Tool via a Technology Acceptance Model (TAM) Approach to Teach EFL: The Case of Vadana | ||
Iranian Journal of Language Teaching Research | ||
مقاله 9، دوره 13، شماره 1، خرداد 2025، صفحه 147-169 اصل مقاله (1.04 M) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.30466/ijltr.2025.55119.2657 | ||
نویسندگان | ||
Bahman Gorjian* ؛ Farzaneh Mir؛ Batool Nasiri | ||
Department of English Language and Teaching, Abadan Branch, Islamic Azad University,Abadan, Iran | ||
چکیده | ||
The evaluation of in-service teacher educators ' feedback on using Computer-Assisted Language Learning (CALL) processes is important for providing educational policymakers with the strengths and weaknesses of the Vadana platform. It proposes an integrated CALL evaluation scale (ICES) eliciting the in-service teacher educators' literacy of using CALL in their classrooms. The researchers in the current study used an exploratory cross-sectional research design to analyze university teacher educators' perceptions of using CALL following the technology acceptance model (TAM). The participants were 230 university teacher educators who attended in-service courses during the 2023-4 academic year. A validated researcher-made questionnaire was used to design an evaluation tool including 15 factors of ICES. Data analysis revealed significant differences between male and female in-service teacher educators' perceptions regarding learning theories, designing e-materials/tasks, roles, and students’ (Ss) feedback. Moreover, there was a significant difference between Ph.D. and MA teachers' attitudes toward teaching/learning theories, digital literacy, CALL approaches, e-materials/tasks, roles, individual differences (IDs), feedback, and evaluation of the CALL process. Regression analysis showed that gender and educational levels are strong predictors of determining the significant correlations between the factors of ICES. Implications of the study suggest ICES can be implemented to evaluate in-service teachers' CALL programs in English as a foreign language (EFL) contexts. | ||
کلیدواژهها | ||
academic context؛ CALL؛ evaluation؛ ICES؛ teacher educator | ||
مراجع | ||
Alhamami, M. (2018). Beliefs about and intention to learn a foreign language in face-to-face and online settings. Computer Assisted Language Learning, 31(1-2), 90-113. https://doi.org/10.1080/09588221.2017.1387154
Alibakhshi, A., & Mohammadi, M. J. (2016). Synchronous and asynchronous multimedia and Iranian EFL learners' learning of collocations. Applied Research on the English Language, 5 (2), 237–254.
Amhag, L., Hellström, L., & Stigmar, M. (2019). Teacher educators' use of digital tools and needs for digital competence in higher education. Journal of Digital Learning in Teacher Education, 35(4), 203-220. https://doi.org/10.1080/21532974.2019.1646169
Amirah Sarudin, N.A., Hashim, H., & Yunus, M. (2019). Creative Education Multi-Sensory Approach: How Does It Help in Improving Word Recognition? Creative Education, 10, 3186–3194. https://doi.org/ 10.4236/ce.2019.1012242
Arteaga Sánchez, R., & Duarte Hueros, A. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in Human Behavior, 26(6), 1632–1640. https://doi.org/10.1016/j.chb.2010.06.011
Aydın, S. (2018). Technology and foreign language anxiety: Implications for practice and future research. Journal of Language and Linguistic Studies, 14(2), 193–211.
Azizinezhad, A., & Hashemi, M. (2013). A look at the status of computer-assisted language learning and its applications. Procedia - Social and Behavioral Sciences, 93, 121–124. https://doi.org/10.1016/j.sbspro.2013.09.163
Barber, D., & Cooper, L. (2012). Using new web tools in the primary classroom. Routledge.
Boardman, K. (2019): An exploration of teachers' perceptions and the value of multisensory teaching and learning: a perspective on the influence of specialist dyslexia training in England. Education, 3(13),1-12. https://doi.org/ 10.1080/03004279.2019.1653349
Bordbar, F. (2010). English teachers' attitudes toward computer-assisted language learning. International Journal of Language Studies, 4(3), 27-54.
Chen, C., Rothwell, J., & Maynard-Zhang, P. (2023). In-school and/or out-of-school computer science learning influence on CS career interests, mediated by having role-models. Computer Science Education, 34(4), 753–777. https://doi.org/10.1080/08993408.2023.2290435
Cheng, Y.-M. (2012). Effects of quality antecedents on e-learning acceptance. Internet Research, 22(3), 361–390. https://doi.org/10.1108/10662241211235699
Cuhadar, C. (2014). Information technologies pre-service teachers' acceptance of tablet PCs as an innovative learning tool. Educational Sciences: Theory and Practice, 14(2), 741–753. https://doi.org/10.12738/estp.2014.2.2038
Dashtestani, R. (2012). Barriers to the implementation of CALL in EFL courses: Iranian EFL teachers' attitudes and perspectives. JALT CALL Journal, 8(2), 55–70.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral thesis). Massachusetts Institute of Technology, Cambridge, MA. Retrieved from http://hdl.handle.net/1721.1/15192
Dörnyei, Z. (2019a). Towards a better understanding of the L2 learning experience: The Cinderella of the L2 motivational self-system. Studies in Second Language Learning and Teaching 9, 1, 19–30. https://doi.org/10.14746/ssllt.2019.9.1.2
Dörnyei, Z. (2019b). Task motivation: What makes an L2 task engaging? In Z. Wen & M. Ahmadian (Eds.), Researching L2 task performance and pedagogy: In honor of Peter Skehan (pp. 53–66). John Benjamins.
Ellis, R. A., Pardo, A., & Han, F. (2016). Quality in blended learning environments –Significant differences in how students approach learning collaborations. Computers & Education, 102, 90–102. https://doi.org/10.1016/j.compedu.2016.07.006
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2(UTAUT2). Educational Technology Research and Development, 65 (3), 743-763. https://doi.org/10.1007/s11423-016-9508-8
Fang, J., Tang, L., Yang, J., & Peng, M. (2019). Social interaction in MOOCs: The mediating effects of immersive experience and psychological needs satisfaction. Telematics and Informatics, 39, 75–91. https://doi.org/10.1016/j.tele.2019.01.006
Faul, F., Erdfelder, E., Buchner, A., Lang A. G. (2009). Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behavior Research Methods. 41, 1149–1160. Doi: 10.3758/BRM.41.4.1149.
Gorjian, B. (2017). Using discourse structure-based graphic organizers (GOs) in developing EFL learners’ reading comprehension. Journal of Research in Applied Linguistics, 8, 340-346. https://doi.org/10.22055/rals.2017.12939
Gorjian, B., Moosavinia, S. R., Ebrahimi Kavari, K., Asgari, P., & Hydareiet, A. R. (2011). The impact of asynchronous computer-assisted language learning approaches on English as a foreign language high and low achievers' vocabulary retention and recall. Computer Assisted Language Learning, 24(5), 383-391. https://doi.org/10.1080/09588221.2011.552186
Hair, J. F., Hult, G. T. M., Ringle, C. M. & Sarstedt, M. (2017). A primer onpartial least Squares structural equation modeling (PLS-SEM). 2nd Edition. Sage Publications Inc., Thousand Oaks, CA.
Harvey-Scholes, C. (2018). Computer-assisted detection of 90% of EFL student errors. Computer Assisted Language Learning, 31(1/2), 144−156. https://doi.org/10.1080/09588221.2017.1392322
Hesse, F., & Helm, G. (2024). Writing with AI in and beyond teacher education: Exploring subjective training needs of student teachers across five subjects. Journal of Digital Learning in Teacher Education, 1(14), 1-16. https://doi.org/10.1080/21532974.2024.2431747
Ho, L.-A., & Kuo, T.-H. (2010). How can one amplify the effect of e-learning? An examination of high-tech employees' computer attitude and flow experience. Computers in Human Behavior, 26(1), 23–31. https://doi.org/10.1016/j.chb.2009.07.007
Hu, P. J. H., Clark, T. H., & Ma, W. W. (2003). Examining technology acceptance by schoolteachers: A longitudinal study. Information & Management, 41(2), 227–241.
Huang, A. Y. Q., Lu, O. H. T., Huang, J. C. H., Yin, C. J., &Yang, S. J. H. (2020). Predicting students' academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs. Interactive Learning Environments, 28(2), 206−230.
Inan, F.A., & Lowther, D. L. (2010). Factors affecting technology integration in K-12 classrooms: a path model. Education Tech Research Dev, 58(2), 37−154.
Jasmine, J., & Connolly, M. (2015). The use of multisensory approaches during center time, through visual, auditory, and kinesthetic-tactile activities, to enhance the spelling accuracy of second-grade students. Journal of Education & Social Policy, 2(1), 12−19.
Jenßen, L., Gierlinger, F., & Eilerts, K. (2021). Pre-service teachers' enjoyment and ICT teaching self-efficacy in mathematics: An application of control-value theory. Journal of Digital Learning in Teacher Education, 37(3), 183–195. https://doi.org/ 10.1080/21532974.2021.1929585
Li, G., & Ni, X. (2011). Primary EFL teachers' technology use in China: Patterns and perceptions. RELC Journal: A Journal of Language Teaching and Research, 42(1), 85–69. https://doi.org/10.1177/0033688210390783
Li, J., & Cummins, J. Deng, Q. (2017). The effectiveness of texting to enhance academic vocabulary learning: English language learners’ perspective. Language Learning & Technology, 23(2), 43–64. https://doi.org/10.1080/09588221.2017.1366923
Li, L. Y., & Tsai, C. C. (2017). Accessing online learning material: Quantitative behavior patterns and their effects on motivation and learning performance. Computers and Education, 114, 286–297. https://doi.org/10.1016/j.compedu.2017.07.007
Lin, M. T. Y., Wang, J. S., Kuo, H. M., & Luo, Y. (2017). A study on the effect of virtual reality 3D exploratory education on students' creativity and leadership. Eurasia Journal of Mathematics Science and Technology Education, 13(7), 3151–3161. https://doi.org/10.12973/eurasia.2017.00709a
Mahdi, H.S. (2013). Issues of computer-assisted language learning normalization in EFL contexts. International Journal of Linguistics, 5(1), 191−203. https://doi.org/10.5296/ijl.v5i1.3305
Moffitt, R. L., Padgett, C., & Grieve, R. (2020). Accessibility and emotionality of online assessment feedback: using emoticons to enhance student perceptions of marker competence and warmth. Computer & Education, 143, 1−11. https://doi.org/10.1016/j.compedu.2019.103654
Martin, D. A., McMaster, N & Carey, M. D. (2020). Course design features influencing preservice teachers' self-efficacy beliefs in their ability to support students' use of ICT. Journal of Digital Learning in Teacher Education, 36(4), 221-236. https://doi.org/10.1080/21532974.2020.1781000
Myers, J. L., Well, A. D., & Lorch, R. F. (2010). Research design and statistical analysis. Routledge.
Nikou, S. A., & Economides, A. A. (2019). Factors that influence behavioral intention to use mobile-based assessment: A STEM teachers' perspective. British Journal of Educational Technology, 50(2), 587–600. https://doi.org/10.1111/bjet.12609
Oz, H., Demirezen, M. & Pourfeiz, J. (2015). Digital device ownership, computer literacy, and attitudes toward foreign and computer-assisted language learning. Procedia-Social and Behavioral Sciences, 186, 359–366. https://doi.org/10.1016/j.sbspro.2015.04.028
Ozturk, N. (2013). Using CALL in language teaching and learning, in consideration of its strengths and limitations. Journal of European Education (JEE), 3(1), 36−41.
Pachler, N., & Daly, C. (2011). Key issues in e-learning: Research and practice. Continuum Institutional Publishing Group.
Pirasteh, P. (2014). The effectiveness of computer-assisted language learning (CALL) on learning grammar by Iranian EFL learners. Procedia - Social and Behavioral Sciences,98, 1422–1427. https://doi.org/10.1016/j.sbspro.2014.03.561
Plonsky, L., & Oswald, F. L. (2012). How to do a meta-analysis. In A. Mackey & S. M. Gass (Eds.), Research methods in second language acquisition: A practical guide (pp. 275–295). London: Basil Blackwell.
Pourhosein Gilakjani, A. (2013). Factors contributing to teachers' use of computer technology in the classroom. Universal Journal of Educational Research, 1(3), 262–267. https://doi.org/10.13189/ujer.2013.010317
Pourhosein Gilakjani, A., & Lai–Mei, L. (2012). Teachers' attitudes toward using computer technology in English language teaching. Theory and Practice in Language Studies, 2(3), 630–636. https://doi.org/10.4304/tpls.2.3.630-636
Pourhosein Gilakjani, A., & Sabouri, N. B. (2014). Role of Iranian EFL teachers in using pronunciation power software in the instruction of English pronunciation. English Language Teaching, 7(1), 139−148. https://doi.org/10.5539/elt.v7n1p139
Rahimi, M. &., Yadollahi, S. (2011). Success in learning English as a foreign language as a predictor of computer anxiety. Procedia Computer Science, 3, 175−182. https://doi.org/10.1016/j.procs.2010.12.030
Rahimi, S. & Hosseini, K. (2010). The impact of computer-based activities on Iranian high school students' attitudes toward computer-assisted language learning. Procedia Computer Science, 3, 183−190. https://doi.org/10.1016/j.procs.2010.12.031
Riasati, M. J., Allahyar, N., & Tan, K. E. (2012). Technology in language education: Benefits and barriers. Journal of Education and Practice, 3(5), 25−30.
Rodríguez-Ardura, I., & Meseguer-Artola, A. (2016). What leads people to keep on e-learning? An empirical analysis of users' experiences and their effects on continuance intention. Interactive Learning Environments, 24(6), 1030−1053. https://doi.org/10.1080/10494820.2014.926275
Sadeghi, K., & Ashegh Navaie, L. (2021). Iranian EFL teachers' experiences with online professional development: Perceptions and preferences. Iranian Journal of Language Teaching Research, 9(3),9-23. https://doi.org/10.30466/ijltr.2021.121073
Saito, E., Kwok, P. L. Y., & O’Donovan, R. (2023). Conceptual typologies of learning communities for master’s course students using a publications exemplar: a comparative institutional analysis. Interactive Learning Environments, 32(8), 4020–4036. https://doi.org/10.1080/10494820.2023.2194335
Sharifi, M., Rostami AbuSaeedi, A. A., Jafarigohar, M., & Zandi, B. (2018). Retrospect and the prospect of computer-assisted English language learning: a meta-analysis of the empirical literature. Computer Assisted Language Learning, 31(4), 413−436. https://doi.org/10.1080/09588221.2017.1412325
Smit, R., Waibel, C., & Schmid, R. (2024). Assisting in a computer science education centre as a field-based internship for pre-service teachers. Computer Science Education, 1(25), 1-24. https://doi.org/10.1080/08993408.2023.2300554
Teo, T. (2014). Unpacking teachers' acceptance of technology: Tests of measurement invariance and latent mean differences. Computers & Education, 75, 127–135. https://doi.org/10.1016/j.compedu.2014.01.014
Teo, T., Sang, G., Mei, B., & Hoi, C. K. W. (2019). Investigating pre-service teachers' acceptance of Web 2.0 technologies in their future teaching: A Chinese perspective. Interactive Learning Environments, 27(4), 530–546. https://doi.org/10.1080/10494820.2018.1489290
Thomas, M., & Reinders, H. (Eds.) (2012). Task-based language learning and teaching with technology. Continuum.
Tseng, S.-S., & Yeh, H.-C. (2019). The impact of video and written feedback on student preferences of English-speaking practice. Language Learning & Technology, 23(2), 145–158.
Tseng, T.H., Lin. S., Wang, Y., & Liu, H. (2019). Investigating teachers' adoption of MOOCs: the perspective of UTAUT2. Interactive Learning Environments. https://doi.org/10.1080/10494820.2019.1674888.
Venkatesh, V., Thong, J. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428
Wang, Y., & Stockwell, G. (2023). Social justice and technology in second language Education. Iranian Journal of Language Teaching Research, 11(3), 1-18. https://doi.org/10.30466/ijltr.2023.121403
Wong, G. K. (2016). The behavioral intentions of Hong Kong primary teachers in adopting educational technology. Educational Technology Research and Development, 64(2), 313–338. https://doi.org/10.1007/s11423-016-9426-9
Woollard, J. (2011). Psychology for the classroom: E-learning. Routledge.
Xie, K. (2013). What do the numbers say? The influence of motivation and peer feedback on students' behavior in online discussions. British Journal of Educational Technology, 44(2), 288–301. https://doi.org/10.1111/j.1467-8535.2012.01291.x
Yeh, H.-C. & Tseng, S. S. (2020). Enhancing multimodal literacy using augmented reality. Language Learning & Technology, 24(1), 27−37. https://doi.org/10125/44706
Yan, L., Sha, L., Zhao, L., Li, Y., Martinez-Maldonado, R., Chen, G., Li, X., Jin, Y., & Gašević, D. (2024). Practical and ethical challenges of large language models in education: A systematic scoping review. British Journal of Educational Technology, 55(1), 90–112. https://doi.org/10.1111/bjet.13370
Zadney, J.M., Warner, Z., & Angelone, L. (2020). Learning through experience: Used design-based research to redesign protocols for blended synchronous learning environments. Computers & Education, 143, 1-14. https://doi.org/10.1016/j.compedu.2019.103678
Zaini. A., & Mazdayasna, G. (2014). The effect of computer-assisted language learning on the development of EFL learners' writing skills. Procedia-Social and Behavioral Sciences,98, 1975–1982. https://doi.org/10.1016/j.sbspro.2014.03.631
Zamani, B. E. (2010). Successful implementation factors for using computers in Iranian schools during one decade (1995-2005). Computers & Education, 54(1), 59−68. https://doi.org/10.1016/j.compedu.2009.07.004
Zhang, R. (2020). Exploring blended learning experiences through the community of inquiry scale. Language Social Justice and Technology in Second Language Education, 24(1), 38−53. https://doi.org/10125/44707 | ||
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