Abstract
The adoption of technology in second language (L2) classrooms has been found a complicated process depending on several factors, two of which may play a crucial role in teachers’ technology adoption are emotional intelligence (EI) and self-efficacy beliefs. To date, however, there exists little empirical evidence regarding their interaction to predict L2 teachers’ technology adoption in Asian countries. To bridge this gap, this quantitative study collected data through three questionnaires from a sample of 214 Chinese English as foreign language (EFL) teachers. The results of structural equation modeling (SEM) and regression analysis revealed that both EI and self-efficacy could, respectively, predict 89% and 63% of variances in Chinese EFL teachers’ technology adoption. Drawing on the obtained results, some conclusions, implications, and directions for future research are presented to avid researchers and educators to heighten their knowledge of educational technology and emotions. Affiliations: Please check and confirm that the authors and their respective affiliations have been correctly identified and amend if necessary. Thank you, the modifications have been completed.
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The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
References
Abu-Shanab, E., & Pearson, J. (2007). Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Systems and Information Technology, 9(1), 78–97. https://doi.org/10.1108/13287260710817700
Abu-Shanab, E. A., & Shanab, A. A. (2022). The influence of emotional intelligence on technology adoption and decision-making process. International Journal of Applied Decision Sciences, 15(5), 604–622. https://doi.org/10.1504/IJADS.2022.125485
Abu-Shanab, S., & Abu-Shanab, E. A. (2019). How students are using social networks?: Emotional intelligence as a determinant. International Journal of Cyber Behavior Psychology and Learning (IJCBPL), 9(1), 49–64. https://doi.org/10.4018/IJCBPL.2019010104
Ahmadipour, H. (2022). Online learning self-efficacy: A necessity for virtual education. Journal of Education and Health Promotion, 11, 113. https://doi.org/10.4103/jehp.jehp8
Alam, F., Yang, Q., Bhutto, M. Y., & Akhtar, N. (2021). The influence of E-learning and emotional intelligence on psychological intentions: Study of stranded Pakistani students. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.715700
Allen, V., MacCann, C., Matthews, G., & Roberts, R. D. (2014). Emotional intelligence in education: from pop to emerging science. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 162–182). Routledge.
Amirian, S. M. R., & Behshad, A. (2016). Emotional intelligence and self-efficacy of Iranian teachers: A research study on university degree and teaching experience. Journal of Language Teaching and Research, 7(3), 548. https://doi.org/10.17507/jltr.0703.16
Anwar, R. H., Zaki, S., Memon, N., & Thurasamy, R. (2021). Exploring the interplay of trait emotional intelligence and ESL teacher effectiveness: Is self-efficacy the mechanism linking them? SAGE Open. https://doi.org/10.1177/2158244021106137
Ashraf, H., Hosseinnia, M., Domsky, G. H., & J. (2017). EFL teachers’ commitment to professional ethics and their emotional intelligence: A relationship study. Cogent Education, 4(1), 1–9. https://doi.org/10.1080/2331186X.2017.1298188
Bandura, A. (1997). The anatomy of stages of change. American Journal of Health Promotion AJHP, 12(1), 8–10. https://doi.org/10.4278/0890-1171-12.1.8
Bandura, A. (2006). Toward a psychology of human agency. Perspectives on Psychological Science, 1(2), 164–180. https://doi.org/10.1111/j.1745-6916.2006.00011.x
Bandura, A. (2011). The social and policy impact of social cognitive theory. In M. M. Mark, S. I. Donaldson, & B. Campbell (Eds.), Social psychology and evaluation (pp. 31–71). The Guilford Press.
Bar-On, R. (2006). The bar-on model of emotional-social intelligence (ESI). Psicothema, 18, 13–25.
Chamizo-Nieto, M. T., Arrivillaga, C., Rey, L., & Extremera, N. (2021). The role of emotional intelligence, the teacher-student relationship, and flourishing on academic performance in adolescents: a moderated mediation study. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.695067
Chrusciel, D. (2006). Considerations of emotional intelligence (EI) in dealing with change decision management. Journal of Management Decision, 44(5), 644–657. https://doi.org/10.1108/00251740610668897
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Derakhshan, A. (2022). Revisiting research on positive psychology in second and foreign language education: Trends and directions. Language Related Research, 13(5), 1–43. https://doi.org/10.52547/LRR.13.5.1
Derakhshan, A., Dewaele, J.-M., & Azari Noughabi, M. (2022). Modeling the contribution of resilience, well-being, and L2 grit to foreign language teaching enjoyment among Iranian English language teachers. System, 109, 102890. https://doi.org/10.1016/j.system.2022.102890
Derakhshan, A., & Ghiasvand, F. (2022). Demystifying Iranian EFL teachers’ perceptions and practices of learning-oriented assessment (LOA): Challenges and prospects in focus. Language Testing in Asia, 12(55), 1–18. https://doi.org/10.1186/s40468-022-00204-2
Derakhshan, A., Kruk, M., Mehdizadeh, M., & Pawlak, M. (2021). Boredom in online classes in the Iranian EFL context: Sources and solutions. System, 101, 102556. https://doi.org/10.1016/j.system.2021.102556
Derakhshan, A., Wang, Y., & Ghiasvand, F. (2023a). “I never make a permanent decision based on a temporary emotion”: Unveiling EFL teachers’ perspectives about emotions in assessment. Applied Linguistics Review. https://doi.org/10.1515/applirev-2023-0089
Derakhshan, A., Wang, Y. L., Wang, Y. X., & Ortega-Martín, J. L. (2023). Towards innovative research approaches to investigating the role of emotional variables in promoting language teachers’ and learners’ mental health. International Journal of Mental Health Promotion, 25(7), 823–832. https://doi.org/10.32604/ijmhp.2023.029877
Ding, L., & Hong, Z. (2023). On the relationship between pre-service teachers’ sense of self-efficacy and emotions in the integration of technology in their teacher developmental programs. Asia-Pacific Edu Res. https://doi.org/10.1007/s40299-023-00758-6
Elrayah, M. (2022). Improving teaching professionals’ satisfaction through the development of self-efficacy, engagement, and stress control: a cross-sectional study. Educational Sciences: Theory & Practice, 22(1), 1–12. https://doi.org/10.12738/jestp.2022.1.0001
Estaji, M., & Ghiasvand, F. (2022). Teacher assessment identity in motion: The representations in e-portfolios of novice and experienced EFL teachers. Issues in Language Teaching, 11(2), 33–66. https://doi.org/10.22054/ilt.2022.70302.741
Estaji, M., & Ghiasvand, F. (2023). Tracing the developmental trajectories of EFL Teacher Assessment Identity (TAI) through web-based audio diaries. The Qualitative Report, 28(9), 2681–2715. https://doi.org/10.46743/2160-3715/2023.5903
Fathi, J., & Derakhshan, A. (2019). Teacher self-efficacy and emotional regulation as predictors of teaching stress: An investigation of Iranian English language teachers. Teaching English Language, 13(2), 117–143. https://doi.org/10.22132/tel.2019.95883
Fu, J., & Wang, Y. (2022). Inspecting EFL teachers’ academic literacy development in multilingual contexts: a global vision. Heliyon, 8(12), 1–6. https://doi.org/10.1016/j.heliyon.2022.e12143
Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books Publishers.
Ghanizadeh, A., & Moafian, F. (2010). The role of EFL teachers’ emotional intelligence in their success. ELT Journal, 64(4), 424–435. https://doi.org/10.1093/elt/ccp084
Goleman, D. (1996). Emotional intelligence. Why it can matter more than IQ. Learning, 24(6), 49–50.
Goleman, D. (1998). What makes a leader? Harvard Business Review., 76, 92–105.
Granić, A. (2022). Educational technology adoption: A systematic review. Education and Information Technologies, 27(7), 9725–9744. https://doi.org/10.1007/s10639-022-10951-7
Granić, A. (2023). Technology acceptance and adoption in education. In O. Zawacki-Richter & I. Jung (Eds.), Handbook of open, distance, and digital education (pp. 183–197). Springer Nature.
Guo, Y., Wang, Y., & Ortega-Martín, J. (2023). The impact of blended learning-based scaffolding techniques on learners’ self-efficacy and willingness to communicate. Porta Linguarum, 40(2), 253–273. https://doi.org/10.30827/portalin.vi40.27061
Hammouri, Q. M., Abu-Shanab, E. A., & Nusairat, N. M. (2021). Attitudes toward implementing E-government in health insurance administration. International Journal of Electronic Government Research (IJEGR), 17(2), 1–18. https://doi.org/10.4018/IJEGR.2021040101
Han, Y., & Wang, Y. (2021). Investigating the correlation among Chinese EFL teachers’ self-efficacy, work engagement, and reflection. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.763234
Herguner, S. (2017). Prospective EFL teachers’ emotional intelligence and tablet computer use and literacy. Turkish Online Journal of Educational Technology-TOJET, 16(4), 56–64.
Hsu, L. (2017). Examining EFL teachers’ technological pedagogical content knowledge and the adoption of mobile-assisted language learning: A partial least square approach. Computer Assisted Language Learning, 26(8), 1287–1297. https://doi.org/10.1080/09588221.2016.1278024
Huang, F., & Teo, T. (2021). Examining the role of technology-related policy and constructivist teaching belief on English teachers’ technology acceptance: A study in Chinese universities. British Journal of Educational Technology, 52(1), 441–460. https://doi.org/10.1111/bjet.13027
Huang, F., Teo, T., & Zhou, M. (2019). Factors affecting Chinese English as a foreign language teachers’ technology acceptance: A qualitative study. Journal of Educational Computing Research, 57(1), 83–105. https://doi.org/10.1177/0735633117746168
Huang, G., & Ren, Y. (2020). Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy. Computers in Human Behavior, 103, 151–160. https://doi.org/10.1016/j.chb.2019.09.013
Jan, S. U., & Anwar, M. A. (2019). Emotional intelligence, library use, and academic achievement of university students. Journal of the Australian Library and Information Association, 68(1), 38–55. https://doi.org/10.1080/24750158.2019.1572482
Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology and Society, 21(3), 48–59.
Kearney, S. P. (2023). Emotional intelligence and its effect on the adoption of technological innovations in higher education (Doctoral dissertation). Saint Leo University.
Khasawneh, O. Y. (2018). Technophobia without boarders: The influence of technophobia and emotional intelligence on technology acceptance and the moderating influence of organizational climate. Computers in Human Behavior, 88, 210–218. https://doi.org/10.1016/j.chb.2018.07.007
Khlaif, Z. (2018). Teachers’ perceptions of factors affecting their adoption and acceptance of mobile technology in K-12 settings. Computers in the Schools, 35(1), 49–67. https://doi.org/10.1080/07380569.2018.1428001
King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755. https://doi.org/10.1108/17465660710834462
Kostić-Bobanović, M. (2020). Perceived emotional intelligence and self-efficacy among novice and experienced foreign language teachers. Economic Research-Ekonomska Istraživanja, 33(1), 1200–1213. https://doi.org/10.1080/1331677X.2019.1710232
Lai, C., Wang, Q., & Huang, X. (2022). The differential interplay of TPACK, teacher beliefs, school culture and professional development with the nature of in-service EFL teachers’ technology adoption. British Journal of Educational Technology, 53(5), 1389–1411. https://doi.org/10.1111/bjet.13200
Mahmoodi, M. H., & Ghaslani, R. (2014). Relationship among Iranian EFL teachers’ emotional intelligence, reflectivity, and burnout. Iranian Journal of Applied Language Studies, 6(1), 89–116. https://doi.org/10.22111/ijals.2014.1993
Martins, A., Ramalho, N., & Morin, E. (2010). A comprehensive meta-analysis of the relationship between emotional intelligence and health. Journal of Personality and Individual Differences, 49(6), 554–564. https://doi.org/10.1016/j.paid.2010.05.029
Mayer, J. D., Caruso, D. R., & Salovey, P. (1999). Emotional intelligence meets traditional standards for an intelligence. Intelligence, 27(4), 267–298. https://doi.org/10.1016/S0160-2896(99)00016-1
Mayer, J. D., Caruso, D. R., & Salovey, P. (2016). The ability model of emotional intelligence: Principles and updates. Emotion Review, 8(4), 290–300. https://doi.org/10.1177/1754073916639667
Mayer, J. D., & Salovey, P. (1997). What is emotional intelligence? In P. Salovey & D. J. Sluyter (Eds.), Emotional development and emotional intelligence: Educational implications (pp. 3–31). Basic Books.
Mok, M. M. C., & Moore, P. J. (2019). Teachers and self-efficacy. Educational Psychology, 39(1), 1–3. https://doi.org/10.1080/01443410.2019.1567070
Nejati, R., Hassani, M. T., & Sahrapour, H. A. (2014). The relationship between gender and student engagement, instructional strategies, and classroom management of Iranian EFL teachers. Theory and Practice in Language Studies, 4(6), 12–19. https://doi.org/10.4304/tpls.4.6.1219-1226
Nguyen, H. T., Warren, W., & Fehring, H. (2014). Factors affecting English language teaching and learning in higher education. English Language Teaching, 7(8), 94–105. https://doi.org/10.5539/elt.v7n8p94
Pan, Z., Wang, Y., & Derakhshan, A. (2023). Unpacking Chinese EFL students’ academic engagement and psychological well-being: the roles of language teachers’ affective scaffolding. Journal of Psycholinguistic Research. https://doi.org/10.1007/s10936-023-09974-z
Petrides, K. V., & Furnham, A. (2001). Trait emotional intelligence: Psychometric investigation with reference to established trait taxonomies. European Journal of Personality, 15(6), 425–448. https://doi.org/10.1002/per.416
Petrides, K. V., & Furnham, A. (2003). Trait emotional intelligence: Behavioral validation in two studies of emotion recognition and reactivity to mood induction. European Journal of Personality, 17(1), 39–57. https://doi.org/10.1002/per.466
Ramadanti, D. A., Sumarta, S., & Ridwan, I. (2021). An investigation of EFL teachers’ adoption and acceptance of mobile-assisted language learning during distance education program. Journal Pendidikan Tambusai, 5(2), 4015–4021.
Rastegar, M., & Memarpour, S. (2009). The relationship between emotional intelligence and self-efficacy among Iranian EFL teachers. System, 37(4), 700–707. https://doi.org/10.1016/j.system.2009.09.013
Sadri, G. (2011). Emotional intelligence: Can it be taught. Inquiry, 15(3), 197–215.
Saidi, M. (2020). Interpersonal and intrapersonal intelligences are they related to EFL teachers’ self-efficacy beliefs. AJELP Asian Journal of English Language and Pedagogy, 8(1), 53–61.
Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition, and Personality, 9(3), 185–211.
Salovey, P., Mayer, J. D., & Caruso, D. (2002). The positive psychology of emotional intelligence. In C. R. Synder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 159–171). Oxford University Press.
Serrat, O. (2017). Understanding and developing emotional intelligence. In O. Serrat (Ed.), Knowledge solutions (pp. 329–339). Springer.
Singh, A., Sharma, S., & Paliwal, M. (2021). Adoption intention and effectiveness of digital collaboration platforms for online learning: The Indian students’ perspective. Interactive Technology and Smart Education, 18(4), 493–514. https://doi.org/10.1108/ITSE-05-2020-0070
Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649. https://doi.org/10.3102/0034654308325896
Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020). Using an extended technology acceptance model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon. https://doi.org/10.1016/j.heliyon.2020.e05410
Sun, P. J., & Mei, B. (2022). Modeling preservice Chinese-as-a-second/foreign-language teachers’ adoption of educational technology: A technology acceptance perspective. Computer Assisted Language Learning, 35(4), 816–839. https://doi.org/10.1080/09588221.2020.1750430
Teo, T. (2011). Technology acceptance research in education. SensePublishers.
Teo, T., Khazaei, S., & Derakhshan, A. (2022). Exploring teacher immediacy-(non)dependency in the tutored augmented reality game-assisted flipped classrooms of English for medical purposes comprehension among the Asian students. Computers and Education. https://doi.org/10.1016/j.compedu.2021.104406
Teo, T., & van Schaik, P. (2012). Understanding the intention to use technology by pre-service teachers: An empirical test of competing theoretical models. International Journal of Human-Computer Interaction, 28(3), 178–188. https://doi.org/10.1080/10447318.2011.581892
Tschannen-Moran, M., & Hoy, A. W. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17(7), 783–805. https://doi.org/10.1016/S0742-051X(01)00036-1
Vaezi, S., & Fallah, N. (2011). The relationship between emotional intelligence and burnout among Iranian EFL teachers. Journal of Language Teaching & Research, 2(5), 1122–1129. https://doi.org/10.4304/jltr.2.5.1122-1129
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly. https://doi.org/10.2307/30036540
Venter, A., & Prinsloo, P. (2011). The paradox between technology adoption and student success: A case study. Progressio, 33(1), 43–62.
Wang, Y. (2023). Probing into the boredom of online instruction among Chinese English language teachers during the Covid-19 pandemic. Current Psychology. https://doi.org/10.1007/s12144-022-04223-3
Wang, Y., & Derakhshan, A. (2023). Enhancing Chinese and Iranian EFL students’ willingness to attend classes: The role of teacher confirmation and caring. Porta Linguarum, 39(1), 165–192. https://doi.org/10.30827/portalin.vi39.23625
Wang, Y., Derakhshan, A., & Azari Noughabi, M. (2022b). The interplay of EFL teachers’ immunity, work engagement, and psychological well-being: Evidence from four Asian countries. Journal of Multilingual and Multicultural Development. https://doi.org/10.1080/01434632.2022.2092625
Wang, Y., Derakhshan, A., & Pan, Z. (2022a). Positioning an agenda on a loving pedagogy in second language acquisition: Conceptualization, practice, and research. Frontiers in Psychology, 13, 894190. https://doi.org/10.3389/fpsyg.2022.894190
Wang, Y., Derakhshan, A., Pan, Z., & Ghiasvand, F. (2023a). Chinese EFL teachers’ writing assessment feedback literacy: A scale development and validation study. Assessing Writing, 56, 100726. https://doi.org/10.1016/j.asw.2023.100726
Wang, Y., Derakhshan, A., & Zhang, L. J. (2021). Researching and practicing positive psychology in second/foreign language learning and teaching: The past, current status and future directions. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2021.731721
Wang, Y., Pan, Z. W., & Wang, M. Z. (2023). The moderating effect of participation in online learning on EFL teachers’ teaching ability. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e13890
Wang, Y. L., Wang, Y. X., Pan, Z. W., & Ortega-Martín, J. L. (2023c). The predicting role of EFL students’ achievement emotions and technological self-efficacy in their technology acceptance. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-023-00750-0
Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11742-4
Zhao, C., & Zhao, L. (2021). Digital Nativity, computer self-efficacy, and technology adoption: A study among university faculties in China. Frontiers in Psychology, 12, 746292.
Zhi, R., & Wang, Y. L. (2023). English as a foreign language teachers’ professional success, loving pedagogy and creativity: A structural equation modeling approach. Thinking Skills and Creativity. https://doi.org/10.1016/j.tsc.2023.101370
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This work was supported by Nanjing Normal University, People’s Republic of China. The university has no role in the design and implementation of this study. The authors are also grateful to the insightful comments suggested by the editor and the anonymous reviewers.
Funding
This study was sponsored by Teacher Education Project of Fundation of Henan Educational Committee, entitled “Using Online Learning Resources to Promote English as a Foreign Language Teachers’ Professional Development in the Chinese Middle School Context” (Grant No.: 2022-JSJYYB-027) and was also supported by Research and Practice Project on Higher Education Teaching Reform in Henan Province in 2019: "Research on a Blended Teaching Model for College English Listening, Speaking, and Viewing Based on Massive Open Online Courses (MOOC)" (Project Number: 2019SJGLX210).
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Zhi, R., Wang, Y. & Wang, Y. The Role of Emotional Intelligence and Self-efficacy in EFL Teachers’ Technology Adoption. Asia-Pacific Edu Res 33, 845–856 (2024). https://doi.org/10.1007/s40299-023-00782-6
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DOI: https://doi.org/10.1007/s40299-023-00782-6