Exploring Indonesian EFL Teachers’ Agency and Self-Efficacy in Using Artificial Intelligence Tools
DOI:
https://doi.org/10.24256/ideas.v12i2.5441Abstract
Despite numerous studies on teacher’s agency and self-efficacy, little attention has been given to examining how teachers’ agency manifests in the use of artificial intelligence and how it influences teachers’ self-efficacy. Teachers as active agents are demanded to effectively and independently exercise their digital agency in teaching. In essence, teacher’s agency allows them to make informed choices about using artificial intelligence to promote their teaching, which might influence their perceptions of their self-efficacy. Thus, this study aims to fill the gap by examining how EFL teachers’ agency manifests in the utilization of AI tools and how they perceive their self-efficacy. Employing a qualitative study, this research employed open-ended questionnaires and semi-structured interviews to gather the data. Five EFL teachers who have used artificial intelligence in their teaching participated in this study. To analyze the data, the researcher employed selective coding. The data revealed two teacher agency drove three participants to use artificial intelligence in three parts namely lesson planning, implementation, and assessment, and the other two participants used it for lesson planning and assessment. Furthermore, this study found that the five participants perceived high self-efficacy towards their use of artificial intelligence. Thus, schools and teacher educational programs should provide targeted professional development programs that emphasize the importance of teacher agency. In particular, training should focus on how teachers can utilize artificial intelligence tools to enhance their pedagogical practices that contribute to building high self-efficacy.
References
Ahmad, H., & Shah, S. R. (2022). Teacher agency and professional development: A study on Cambridge English teacher program in the Arabian Gulf. Cogent Education, 9(1), 2080352. https://doi.org/10.1080/2331186X.2022.2080352
Ahmani, A. M. (2019). The use of technology in English language teaching. Frontiers in Education Technology, 2(3), 168–180. https://doi.org/10.22158/fet.v2n3p168
Ashton, K. (2022). Language teacher agency in emergency online teaching. System, 105, 102713
Ayanwale, M. A., Sanusi, I. T., Adelana, O. P., Aruleba, K., & Oyelere, S. S. (2022). Teachers’ readiness and intention to teach artificial intelligence in schools. Computers and Education. Artificial Intelligence, 3, 100099. https://doi.org/10.1016/j.caeai.2022.100099
Başar, T., & Şahi̇n, L. (2022). Technology integration in teaching English as a foreign language: A content analysis study. Journal of Educational Technology and Online Learning, 5(1), 204–222. https://doi.org/10.31681/jetol.972577
Baskara, R. (2023). Investigating the Impact of Chatbots in Different Learning Contexts on Student Engagement and Critical Thinking. The Journal Of English Teaching For Young And Adult Learners, 2(2), 51–61. https://doi.org/10.21137/jeeyal.2023.2.2.1
Baskara, FX. Risang (2023) Navigating pedagogical evolution: the implication of generative ai on the reinvention of teacher education. In: Seminar Nasional Universitas Jabal Ghafur 2023, universitas PGRI Adi Buana Surabaya.
Beijaard, D., Verloop, N., & Vermunt, J. D. (2000). Teachers’ perceptions of professional identity: an exploratory study from a personal knowledge perspective. Teaching and Teacher Education, 16(7), 749–764. https://doi.org/10.1016/s0742-051x(00)00023-8
Bekou, A., Ben Mhamed, M.,&Assissou, K.(2024). Exploring opportunities and challenges of using ChatGPT in English language teaching (ELT) in Morocco. Focus on ELT Journal, 6(1),87-106. https://doi.org/10.14744/felt.6.1.7
Campoverde-Quezada, D. A., & Valdiviezo-Ramírez, E. A. (2024). The double-edged sword: Benefits and challenges that artificial intelligence tools can bring to EFL teaching and learning. Revista Metropolitana de Ciencias Aplicadas, 7(2), 304-316.
Calvert, L. (2016). Moving from compliance to agency: What teachers need to make professional learning work. Learning Forward & NCTAF.
Çelik, İ. (2023). Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. https://doi.org/10.1016/j.chb.2022.107468
Chan, K. W., & Elliott, R. G. (2004). Relational analysis of personal epistemology and conceptions about teaching and learning. Teaching and Teacher Education, 20(8), 817–831. https://doi.org/10.1016/j.tate.2004.09.002
Chiu, T. K. F., & Chai, C. S. (2020). Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-Determination Theory Perspective. Sustainability, 12(14), 5568. https://doi.org/10.3390/su12145568
Chou, C., Shen, T., Shen, T., & Shen, C. (2022). The level of perceived efficacy from teachers to access AI-based teaching applications. Research and Practice in Technology Enhanced Learning/Research and Practice in Technology Enchanced Learning, 18, 021. https://doi.org/10.58459/rptel.2023.18021
Chounta, I., Bardone, E., Raudsep, A., & Pedaste, M. (2021). Exploring Teachers’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education. International Journal of Artificial Intelligence in Education, 32(3), 725–755. https://doi.org/10.1007/s40593-021-00243-5
Davis, R. O. (2024). Korean In-Service Teachers’ perceptions of implementing artificial intelligence (AI) education for teaching in schools and their AI teacher training programs. International Journal of Information and Education Technology, 14(2), 214–219. https://doi.org/10.18178/ijiet.2024.14.2.2042
De Haas, M., Vogt, P., & Krahmer, E. (2020). The effects of feedback on children’s engagement and learning outcomes in Robot-Assisted Second Language learning. Frontiers in Robotics and AI, 7. https://doi.org/10.3389/frobt.2020.00101
De La Vall, R. R. F., & Araya, F. G. (2023). Exploring the benefits and challenges of AI-language learning tools. International Journal of Social Sciences and Humanities Invention, 10(01), 7569–7576. https://doi.org/10.18535/ijsshi/v10i01.02
Ghamoushi, M., Zenouzagh, Z. M., & Hashamdar, M. (2022). Development and validation of a potential assessment inventory for assessing EFL teachers’ ecological agency. Language Testing in Asia, 12(1). https://doi.org/10.1186/s40468-022-00190-5
Granziera, H., Collie, R. J., & Martin, A. J. (2019). Adaptability: An important capacity to cultivate among pre-service teachers in teacher education programmes. Psychology Teaching Review, 25(1), 60–66. https://doi.org/10.53841/bpsptr.2019.25.1.60
Hazarika, Z. (2017). Exploring the impact of technology in teaching English: Tesol in the context. European Journal of English Language and Literature Studies, 5(10), 19-28.
Hemi, A., Madjar, N., & Rich, Y. (2021). Perceived peer and teacher goals: relationships with students’ academic achievement goals. The Journal of Experimental Education, 1–21. https://doi.org/10.1080/00220973.2021.1906199
Hong, J., Francis, D. C., & Schutz, P. A. (2018). Research on Teacher Identity: common themes, implications, and future directions. In Springer eBooks (pp. 243–251). https://doi.org/10.1007/978-3-319-93836-3_21
Husnaini, H., Yahya, A., & Putri, N. I. W. (2023). The Efficacy of the Presentation, Practice, and Production (PPP) Method on the Speaking Skill of the English Learners Community (ELC) Students. EDULANGUE, 6(1), 45-61.
Junaidi, J. (2020). Artificial intelligence in EFL context: rising students’ speaking performance with Lyra virtual assistance. International Journal of Advanced Science and Technology Rehabilitation, 29(5), 6735-6741.
Khanzode, K. C. A., & Sarode, R. D. (2020). Advantages and Disadvantages of Artificial Intelligence and Machine Learning: A Literature Review. International Journal of Library & Information Science (IJLIS), 9(1), 3.
Kim, K., & Kwon, K. (2023). Exploring the AI competencies of elementary school teachers in South Korea. Computers and Education. Artificial Intelligence, 4, 100137. https://doi.org/10.1016/j.caeai.2023.100137
Kusters, M., Van Der Rijst, R., De Vetten, A., & Admiraal, W. (2023). University lecturers as change agents: How do they perceive their professional agency? Teaching and Teacher Education, 127, 104097. https://doi.org/10.1016/j.tate.2023.104097
Leijen, Ä., Pedaste, M., & Baucal, A. (2021). Assessing student teachers’ agency and using it for predicting commitment to teaching. European Journal of Teacher Education, 45(5), 600–616. https://doi.org/10.1080/02619768.2021.1889507
Madehang, M., Masruddin, M., & Iksan, M. (2024). Reflecting on the Implementation of Online English Learning in Islamic Higher Education: Lecturers and Students’ Perspectives. International Journal of Asian Education, 5(3), 183-197.
Makhlouf, M. K. I. (2021). Effect of Artificial Intelligence-Based Application on Saudi Preparatory -Year Students’ EFL Speaking Skills at Albaha University. International Journal of English Language Education, 9(2), 36. https://doi.org/10.5296/ijele.v9i2.18782
Mahmud, F. A. (2023). Investigating EFL Students’ Writing Skills Through Artificial Intelligence: Wordtune application as a tool. Journal of Language Teaching and Research, 14(5), 1395–1404. https://doi.org/10.17507/jltr.1405.28
Merzifonluoğlu, A., & Gönülal, T. (2018). Review of Digital language learning and teaching: Research, theory, and practice. Language Learning & Technology, 22(1), 65–68.
Mohamad, M., Arif, F. K. M., & Noor, N. M. (2020). Online Game-Based Formative Assessment: Distant learners post-graduate students’ positive perceptions towards Quizizz. International Journal of Scientific & Technology Research, 9(4), 1437–1444.
Nguyen Thi Tra My, & Trinh Thi Ha. (2024). Applying artificial intelligence tools to enhance language proficiency through creative writing skills for Vietnamese pupils. Educational Administration: Theory and Practice, 30(4), 1751–1765. https://doi.org/10.53555/kuey.v30i4.1745
Nikolopoulou, Κ., Gialamas, V., Lavidas, K., & Komis, V. (2020). Teachers’ readiness to adopt mobile learning in classrooms: a study in Greece. Technology, Knowledge and Learning (Print), 26(1), 53–77. https://doi.org/10.1007/s10758-020-09453-7
Oktaviani, L., & Mandasari, B. (2020). PowToon: A digital medium to optimize students’ cultural presentation in ELT Classroom. Teknosastik (Bandar Lampung), 18(1), 33. https://doi.org/10.33365/ts.v18i1.526
Pelham, W. E., Petras, H., & Pardini, D. (2019). Can machine learning improve screening for targeted delinquency prevention programs? Prevention Science, 21(2), 158–170. https://doi.org/10.1007/s11121-019-01040-2
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066x.55.1.68
Ryan, R. M., Huta, V., & Deci, E. L. (2006). Living well: a self-determination theory perspective on eudaimonia. Journal of Happiness Studies, 9(1), 139–170. https://doi.org/10.1007/s10902-006-9023-4
Sanusi, I. T., & Olaleye, S. A. (2022). An Insight into Cultural Competence and Ethics in K-12 Artificial Intelligence Education. 2022 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon52537.2022.9766818
Sumandal, A. H. ( 2023). Teachers’ Self-Efficacy with Artificial Intelligence (AI) Based Educational Tools. Ignatian International Journal for Multidisciplinary Research. 1(1). https://doi.org/10.17613/7qv1-0g04
Sun, Z., Anbarasan, M., & Kumar, D. P. (2020). Design of online intelligent English teaching platform based on artificial intelligence techniques. Computational Intelligence, 37(3), 1166–1180. https://doi.org/10.1111/coin.12351Suryana, I., Asrianto, A., & Murwantono, D. (2020). Artificial intelligence to master English listening skills for non-English major students. Journal of Languages and Language Teaching, 8(1), 48. https://doi.org/10.33394/jollt.v8i1.2221
Sfard, A., & Prusak, A. (2005). Telling Identities: in search of an analytic tool for investigating learning as a culturally shaped activity. Educational Researcher, 34(4), 14–22. https://doi.org/10.3102/0013189x034004014
Solikhah, N. A. (2023). Impact of Technology in Teaching and Learning English as Foreign Language : TESOL context. Journal Corner of Education, Linguistics, and Literature, 3(1), 83–91. https://doi.org/10.54012/jcell.v3i1.194
Van Den Berg, G., & Du Plessis, E. (2023). ChatGPT and Generative AI: Possibilities for its contribution to lesson planning, critical thinking and openness in teacher education. Education Sciences (Basel), 13(10), 998. https://doi.org/10.3390/educsci13100998
Velander, J., Taiye, M. A., Otero, N., & Milrad, M. (2023). Artificial Intelligence in K-12 Education: eliciting and reflecting on Swedish teachers’ understanding of AI and its implications for teaching & learning. Education and Information Technologies, 29(4), 4085–4105. https://doi.org/10.1007/s10639-023-11990-4
Xu, X., Dugdale, D. M., Wei, X., & Mi, W. (2022). Leveraging artificial intelligence to predict young learner online learning engagement. American Journal of Distance Education, 37(3), 185–198. https://doi.org/10.1080/08923647.2022.2044663
Xue, Y., & Wang, Y. (2022). Artificial intelligence for education and teaching. Wireless Communications and Mobile Computing, 2022, 1–10. https://doi.org/10.1155/2022/4750018
Webb, M., & Doman, E. (2019). Impacts of flipped classrooms on learner attitudes towards technology-enhanced language learning. Computer Assisted Language Learning, 33(3), 240–274. https://doi.org/10.1080/09588221.2018.1557692
Zhang, T., Lu, X., Zhu, X., & Zhang, J. (2023). The contributions of AI in the development of ideological and political perspectives in education. Heliyon, 9(3). https://doi.org/10.1016/j.heliyon.2023.e13403
Zhang, Y., Hassan, Z. B., & Yan, J. (2021). Moderating role of Self-Efficacy in building Professional Identity of Chinese L2 Teachers. Eurasian Journal of Educational Research, 21(96). https://doi.org/10.14689/ejer.2021.96.5
Zhao, R., Zhuang, Y., Zou, D., Quan, X., & Yu, P. L. H. (2022). AI-assisted automated scoring of picture-cued writing tasks for language assessment. Education and Information Technologies, 28(6), 7031–7063. https://doi.org/10.1007/s10639-022-11473-y
Downloads
Published
Issue
Section
Citation Check
License
Copyright (c) 2024 Elizabet Afreilyanti, Paulus Kuswandono
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under an Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See the Effect of Open Access)