Research Article
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Unlocking the Potential: Attitudes of Tertiary Level EFL Learners Towards Using AI in Language Learning

Year 2024, Volume: 11 Issue: 6, 1 - 19
https://doi.org/10.17275/per.24.76.11.6

Abstract

In the current era of rapid change in which AI has become inevitable in foreign language education as in many aspects of life, this study, which aims to examine EFL learners’ attitudes towards AI and to analyse its future potential, was conducted with the participation of 772 English preparatory year students studying at A2, B1, and B2 levels in the schools of foreign languages of a state and a private (foundation) university in Türkiye. The data for the study were collected online through an attitude scale (MALL:AI) and an open-ended survey question. Quantitative results revealed that the participants had moderate attitudes towards the use of AI in EFL learning, with no clear tendency towards positive attitudes. While university type and gender were not found to be significant determinants of attitudes, engineering and natural sciences students showed more positive attitudes towards AI in EFL learning than those in the humanities and social sciences. In terms of proficiency level, A2 level participants reflected lower attitudes in the behavioural factor than B1 and B2 levels. Qualitatively, it was found that students had overwhelmingly positive perspectives on the use of AI, shared some negative approaches with reservations, and offered concrete suggestions for the integration of AI into ELT. With its intriguing findings, the present study sheds light on further studies and paves the way for educational administrators and EFL instructors to better make use of AI in language education.

References

  • Asio, J. M. R., & Gadia, E. D. (2024). Predictors of student attitudes towards artificial intelligence: Implications and relevance to the higher education institutions. International Journal of Didactical Studies, 5(2), 27763. https://doi.org/10.33902/ijods.202427763
  • Aydın Yıldız, T. (2023). Measurement of attitude in language learning with AI (MALL:AI). Participatory Educational Research, 10(4), 111-126. http://dx.doi.org/10.17275/per.23.62.10.4
  • Bonner, E., Lege, R., & Frazier, E. (2023). Large Language Model-Based Artificial Intelligence in the language classroom: Practical ideas for teaching. Teaching English with Technology, 23(1), 23-41. https://doi.org/10.56297/BKAM1691/WIEO1749
  • Bohner, G., & Dickel, N. (2011). Attitudes and attitude change. Annual Review of Psychology, 62, 391-417.
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
  • Chiu, T. K., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2023). Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot. Interactive Learning Environments, 31, 1-17. https://doi.org/10.1080/10494820.2023.2172044
  • Chomsky, N. (2023). The False Promise of ChatGPT. The New York Times. Retrieved on 24 January, 2024 from https://www.nytimes.com/2023/03/08/opinion/noam-chomsky-chatgpt-ai.html
  • Creswell, J.W. (2003). Qualitative inquiry and research design: Choosing among five approaches. Thousand Oaks, California: Sage.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information System Quarterly, 13(3): 983–1003. https://doi.org/10.2307/249008
  • Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Berlin: Springer Science & Business Media. https://doi.org/10.1007/978-1-4899-2271-7
  • Eccles, J. S., & Wigfeld, A. (2020). From expectancy–value theory to situated expectancy–value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology, 61, 101859. https://doi.org/10.1016/j.cedpsych.2020.101859
  • El-Hussein, M. O. M., & Cronje, J. C. (2010). Defining mobile learning in the higher education landscape. Journal of Educational Technology & Society, 13(3), 12-21.
  • Edmett, A., Ichaporia, N., Crompton, H., & Crichton, R. (2023). Artificial intelligence and English language teaching: Preparing for the future. British Council. https://doi.org/10.57884/78EA-3C69
  • Erdem, C., Saykili, A., & Kocyigit, M. (2018). The Adaptation Study of the Questionnaires of the Attitude Towards Call (A-Call), the Attitude Towards Cal (A-Cal), the Attitude Towards Foreign Language Learning (A-Fll) to Turkish Language. Turkish Online Journal of Distance Education, 19(1), 31-45.
  • Fast, E., & Horvitz, E. (2017). Long-Term Trends in the Public Perception of Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.10635
  • Fathali, S., & Okada, T. (2017). A self-determination theory approach to technology-enhanced out-of-class language learning intention: A case of Japanese EFL learners. International Journal of Research Studies in Language Learning, 6(4), 53-64.
  • Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57-63. https://doi.org/10.37074/jalt.2023.6.1.22
  • Gallacher, A., Thompson, A. & Howarth, M. (2018). “My robot is an idiot!” - Students’ perceptions of AI in the L2 classroom. In P. Taalas, J. Jalkanen, L. Bradley & S. Thouesny (Eds), Future-proof CALL: Language learning as exploration and encounters – short papers from EUROCALL 2018 (pp 70-76). Research-publishing.net https://doi:10.14705/rpnet.2018.26.815
  • Gary, K. (2019). Pragmatic standards versus saturated phenomenon: Cultivating a love of learning. Journal of Philosophy of Education, 53(3), 477–490
  • Grassini, S. (2023). Shaping the future of education: exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692.
  • Haristiani, N. (2019). Artificial Intelligence (AI) chatbot as language learning medium: An inquiry. Journal of Physics: Conference Series, 1387(1), 012020. https://doi.org/10.1088/1742-6596/1387/1/012020
  • Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. RELC Journal, 54(2),445-451. https://doi.org/10.1177/00336882231168504
  • Hwang, G. & Xie, H. & Wah, B. & Gasevic, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in education. Computers and Education: Artificial Intelligence. 1. 100001. https://doi:10.1016/j.caeai.2020.100001
  • Iqbal, N., Ahmed, H., & Azhar, K. A. (2022). Exploring teachers’ attitudes towards using ChatGPT. Global Journal for Management and Administrative Sciences, 3(4), 97-111. https://doi.org/10.46568/gjmas.v3i4.163
  • Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, https://doi.org/10.1177/00336882231162868
  • Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational Chatbots: A systematic review. Education and Information Technologies, 28(1), 973– 1018. https://doi.org/10.1007/s10639-022-11177-3
  • Lin, H. C., Ho, C. F., & Yang, H. (2022). Understanding adoption of artificial intelligence-enabled language e-learning system: An empirical study of UTAUT model. International Journal of Mobile Learning and Organisation, 16(1), 74-94.
  • Liu, G., & Ma, C. (2023). Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model. Innovation in Language Learning and Teaching, 1-14.
  • Masgoret, A. M., & Gardner, R. C. (2003). Attitudes, motivation, and second language learning: Meta-analyses of studies by Gardner and associates. Language Learning, 53, 123–163.
  • O’Connor, C., & Joffe, H. (2020). Intercoder reliability in qualitative research: Debates and practical guidelines. International Journal of Qualitative Methods, 19, 1-13. https://doi.org/10.1177/1609406919899220
  • Ojeda-Ramirez, S., Rismanchian, S., & Doroudi, S. (2023). Learning about AI to learn about learning: Artificial Intelligence as a tool for metacognitive reflection. EdArXiv. https://doi.org/10.35542/osf.io/64ekv
  • Phan, T. N. L. (2023). Students' perceptions of the AI technology application in English writing classes. Proceedings of the AsiaCALL International Conference, 4, 45-62. https://doi.org/10.54855/paic.2344
  • Prensky, M. (2001). Digital Natives, Digital Immigrants Part 1. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816
  • Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1, 100014.
  • Schmidt, T., & Strasser, T. (2022). Artificial intelligence in foreign language learning and teaching: a CALL for intelligent practice. Anglistik: International Journal of English Studies, 33(1), 165-184.
  • Sindermann, C., Sha, P., Zhou, M., Wernicke, J., Schmitt, H. S., Li, M., ... & Montag, C. (2021). Assessing the attitude towards artificial intelligence: Introduction of a short measure in German, Chinese, and English language. KI-Künstliche İntelligenz, 35, 109-118.
  • Suh, W., & Ahn, S. (2022). Development and validation of a scale measuring student attitudes toward artificial intelligence. Sage Open, 12(2), 21582440221100463.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.), Boston: Allyn and Bacon.
  • Tafazoli, D., Gómez Parra, M. E., & Huertas Abril, C. A. (2019). Attitude towards Computer-Assisted Language Learning: Do gender, age and educational level matter?. Teaching English with Technology, 19(3), 22-39.
  • Topsakal, O., & Topsakal, E. (2022). Framework for a foreign language teaching software for children utilizing AR, voicebots and ChatGPT (Large Language Models). The Journal of Cognitive Systems, 7(2), 33-38. https://doi.org/10.52876/jcs.1227392
  • Wang, F., King, R. B., Chai, C. S., & Zhou, Y. (2023). University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs. International Journal of Educational Technology in Higher Education, 20(1), 51. https://doi.org/10.1186/s41239-023-00417-2
  • Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68-81. https://doi.org/10.1006/ceps.1999.1015
  • Xu, W., & Ouyang, F. (2022). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27(3), 4195-4223. https://doi.org/10.1007/s10639-021-10774-y
  • Yeh, S. C., Wu, A. W., Yu, H. C., Wu, H. C., Kuo, Y. P., & Chen, P. X. (2021). Public perception of artificial intelligence and its connections to the Sustainable Development Goals. Sustainability, 13(16), 9165. https://doi.org/10.3390/su13169165
  • Yilmaz, H., Maxutov, S., Baitekov, A., & Balta, N. (2023). Student attitudes towards ChatGPT: A Technology Acceptance Model survey. International Educational Review, 1(1), 57-83. https://doi.org/10.58693/ier.114
  • Yoon, S. Y. (2019). Student readiness for AI instruction: Perspectives on AI in university EFL classrooms. Multimedia-Assisted Language Learning 22(4) 134-160. https://doi.org/10.15702/mall.2019.22.4.134
  • Yu, H. (2023). Reflection on whether ChatGPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, 1181712. https://doi.org/10.3389/fpsyg.2023.1181712
  • Zou, B., Liviero, S., Hao, M., Wei, C. (2020). Artificial Intelligence Technology for EAP Speaking Skills: Student Perceptions of Opportunities and Challenges. In: Freiermuth, M.R., Zarrinabadi, N. (eds) Technology and the Psychology of Second Language Learners and Users. New Language Learning and Teaching Environments. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-34212-8_17
Year 2024, Volume: 11 Issue: 6, 1 - 19
https://doi.org/10.17275/per.24.76.11.6

Abstract

References

  • Asio, J. M. R., & Gadia, E. D. (2024). Predictors of student attitudes towards artificial intelligence: Implications and relevance to the higher education institutions. International Journal of Didactical Studies, 5(2), 27763. https://doi.org/10.33902/ijods.202427763
  • Aydın Yıldız, T. (2023). Measurement of attitude in language learning with AI (MALL:AI). Participatory Educational Research, 10(4), 111-126. http://dx.doi.org/10.17275/per.23.62.10.4
  • Bonner, E., Lege, R., & Frazier, E. (2023). Large Language Model-Based Artificial Intelligence in the language classroom: Practical ideas for teaching. Teaching English with Technology, 23(1), 23-41. https://doi.org/10.56297/BKAM1691/WIEO1749
  • Bohner, G., & Dickel, N. (2011). Attitudes and attitude change. Annual Review of Psychology, 62, 391-417.
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
  • Chiu, T. K., Moorhouse, B. L., Chai, C. S., & Ismailov, M. (2023). Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot. Interactive Learning Environments, 31, 1-17. https://doi.org/10.1080/10494820.2023.2172044
  • Chomsky, N. (2023). The False Promise of ChatGPT. The New York Times. Retrieved on 24 January, 2024 from https://www.nytimes.com/2023/03/08/opinion/noam-chomsky-chatgpt-ai.html
  • Creswell, J.W. (2003). Qualitative inquiry and research design: Choosing among five approaches. Thousand Oaks, California: Sage.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information System Quarterly, 13(3): 983–1003. https://doi.org/10.2307/249008
  • Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Berlin: Springer Science & Business Media. https://doi.org/10.1007/978-1-4899-2271-7
  • Eccles, J. S., & Wigfeld, A. (2020). From expectancy–value theory to situated expectancy–value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology, 61, 101859. https://doi.org/10.1016/j.cedpsych.2020.101859
  • El-Hussein, M. O. M., & Cronje, J. C. (2010). Defining mobile learning in the higher education landscape. Journal of Educational Technology & Society, 13(3), 12-21.
  • Edmett, A., Ichaporia, N., Crompton, H., & Crichton, R. (2023). Artificial intelligence and English language teaching: Preparing for the future. British Council. https://doi.org/10.57884/78EA-3C69
  • Erdem, C., Saykili, A., & Kocyigit, M. (2018). The Adaptation Study of the Questionnaires of the Attitude Towards Call (A-Call), the Attitude Towards Cal (A-Cal), the Attitude Towards Foreign Language Learning (A-Fll) to Turkish Language. Turkish Online Journal of Distance Education, 19(1), 31-45.
  • Fast, E., & Horvitz, E. (2017). Long-Term Trends in the Public Perception of Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.10635
  • Fathali, S., & Okada, T. (2017). A self-determination theory approach to technology-enhanced out-of-class language learning intention: A case of Japanese EFL learners. International Journal of Research Studies in Language Learning, 6(4), 53-64.
  • Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57-63. https://doi.org/10.37074/jalt.2023.6.1.22
  • Gallacher, A., Thompson, A. & Howarth, M. (2018). “My robot is an idiot!” - Students’ perceptions of AI in the L2 classroom. In P. Taalas, J. Jalkanen, L. Bradley & S. Thouesny (Eds), Future-proof CALL: Language learning as exploration and encounters – short papers from EUROCALL 2018 (pp 70-76). Research-publishing.net https://doi:10.14705/rpnet.2018.26.815
  • Gary, K. (2019). Pragmatic standards versus saturated phenomenon: Cultivating a love of learning. Journal of Philosophy of Education, 53(3), 477–490
  • Grassini, S. (2023). Shaping the future of education: exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692.
  • Haristiani, N. (2019). Artificial Intelligence (AI) chatbot as language learning medium: An inquiry. Journal of Physics: Conference Series, 1387(1), 012020. https://doi.org/10.1088/1742-6596/1387/1/012020
  • Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. RELC Journal, 54(2),445-451. https://doi.org/10.1177/00336882231168504
  • Hwang, G. & Xie, H. & Wah, B. & Gasevic, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in education. Computers and Education: Artificial Intelligence. 1. 100001. https://doi:10.1016/j.caeai.2020.100001
  • Iqbal, N., Ahmed, H., & Azhar, K. A. (2022). Exploring teachers’ attitudes towards using ChatGPT. Global Journal for Management and Administrative Sciences, 3(4), 97-111. https://doi.org/10.46568/gjmas.v3i4.163
  • Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, https://doi.org/10.1177/00336882231162868
  • Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational Chatbots: A systematic review. Education and Information Technologies, 28(1), 973– 1018. https://doi.org/10.1007/s10639-022-11177-3
  • Lin, H. C., Ho, C. F., & Yang, H. (2022). Understanding adoption of artificial intelligence-enabled language e-learning system: An empirical study of UTAUT model. International Journal of Mobile Learning and Organisation, 16(1), 74-94.
  • Liu, G., & Ma, C. (2023). Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model. Innovation in Language Learning and Teaching, 1-14.
  • Masgoret, A. M., & Gardner, R. C. (2003). Attitudes, motivation, and second language learning: Meta-analyses of studies by Gardner and associates. Language Learning, 53, 123–163.
  • O’Connor, C., & Joffe, H. (2020). Intercoder reliability in qualitative research: Debates and practical guidelines. International Journal of Qualitative Methods, 19, 1-13. https://doi.org/10.1177/1609406919899220
  • Ojeda-Ramirez, S., Rismanchian, S., & Doroudi, S. (2023). Learning about AI to learn about learning: Artificial Intelligence as a tool for metacognitive reflection. EdArXiv. https://doi.org/10.35542/osf.io/64ekv
  • Phan, T. N. L. (2023). Students' perceptions of the AI technology application in English writing classes. Proceedings of the AsiaCALL International Conference, 4, 45-62. https://doi.org/10.54855/paic.2344
  • Prensky, M. (2001). Digital Natives, Digital Immigrants Part 1. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816
  • Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1, 100014.
  • Schmidt, T., & Strasser, T. (2022). Artificial intelligence in foreign language learning and teaching: a CALL for intelligent practice. Anglistik: International Journal of English Studies, 33(1), 165-184.
  • Sindermann, C., Sha, P., Zhou, M., Wernicke, J., Schmitt, H. S., Li, M., ... & Montag, C. (2021). Assessing the attitude towards artificial intelligence: Introduction of a short measure in German, Chinese, and English language. KI-Künstliche İntelligenz, 35, 109-118.
  • Suh, W., & Ahn, S. (2022). Development and validation of a scale measuring student attitudes toward artificial intelligence. Sage Open, 12(2), 21582440221100463.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.), Boston: Allyn and Bacon.
  • Tafazoli, D., Gómez Parra, M. E., & Huertas Abril, C. A. (2019). Attitude towards Computer-Assisted Language Learning: Do gender, age and educational level matter?. Teaching English with Technology, 19(3), 22-39.
  • Topsakal, O., & Topsakal, E. (2022). Framework for a foreign language teaching software for children utilizing AR, voicebots and ChatGPT (Large Language Models). The Journal of Cognitive Systems, 7(2), 33-38. https://doi.org/10.52876/jcs.1227392
  • Wang, F., King, R. B., Chai, C. S., & Zhou, Y. (2023). University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs. International Journal of Educational Technology in Higher Education, 20(1), 51. https://doi.org/10.1186/s41239-023-00417-2
  • Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68-81. https://doi.org/10.1006/ceps.1999.1015
  • Xu, W., & Ouyang, F. (2022). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27(3), 4195-4223. https://doi.org/10.1007/s10639-021-10774-y
  • Yeh, S. C., Wu, A. W., Yu, H. C., Wu, H. C., Kuo, Y. P., & Chen, P. X. (2021). Public perception of artificial intelligence and its connections to the Sustainable Development Goals. Sustainability, 13(16), 9165. https://doi.org/10.3390/su13169165
  • Yilmaz, H., Maxutov, S., Baitekov, A., & Balta, N. (2023). Student attitudes towards ChatGPT: A Technology Acceptance Model survey. International Educational Review, 1(1), 57-83. https://doi.org/10.58693/ier.114
  • Yoon, S. Y. (2019). Student readiness for AI instruction: Perspectives on AI in university EFL classrooms. Multimedia-Assisted Language Learning 22(4) 134-160. https://doi.org/10.15702/mall.2019.22.4.134
  • Yu, H. (2023). Reflection on whether ChatGPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14, 1181712. https://doi.org/10.3389/fpsyg.2023.1181712
  • Zou, B., Liviero, S., Hao, M., Wei, C. (2020). Artificial Intelligence Technology for EAP Speaking Skills: Student Perceptions of Opportunities and Challenges. In: Freiermuth, M.R., Zarrinabadi, N. (eds) Technology and the Psychology of Second Language Learners and Users. New Language Learning and Teaching Environments. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-34212-8_17
There are 48 citations in total.

Details

Primary Language English
Subjects English As A Second Language
Journal Section Research Articles
Authors

Hüsem Korkmaz 0000-0002-5759-7392

Murat Akbıyık 0000-0003-2638-6397

Early Pub Date September 30, 2024
Publication Date
Submission Date April 4, 2024
Acceptance Date September 13, 2024
Published in Issue Year 2024 Volume: 11 Issue: 6

Cite

APA Korkmaz, H., & Akbıyık, M. (2024). Unlocking the Potential: Attitudes of Tertiary Level EFL Learners Towards Using AI in Language Learning. Participatory Educational Research, 11(6), 1-19. https://doi.org/10.17275/per.24.76.11.6