Teachers' Perception Scale Towards the Use of Artificial Intelligence Tools in Education
Year 2024,
Volume: 11 Issue: H. Ferhan Odabaşı Gift Issue, 80 - 94, 31.12.2024
Seher Işık
,
Recep Çakır
,
Özgen Korkmaz
Abstract
The aim of this study is to develop a scale to determine teachers' perceptions of the use of artificial intelligence tools in education. The universe of the study consists of teachers from different branches working in schools affiliated with the Ministry of National Education throughout Türkiyein the 2023-2024 academic year. The sample of the study consists of 530 volunteer teachers. Exploratory factor analysis was conducted to determine the construct validity of the scale with the collected data. Pearson r test was used for the validity of the scale, and in order to determine the discrimination of the items, the difference between the groups was examined by determining the 27% upper group and 27% lower group. In order to obtain reliability, internal consistency coefficients were calculated, and stability tests were conducted with the test-retest method. The scale consists of 3 factors and 37 items. The factors were named considering the item contents. The total Cronbach Alpha value of the factors in the scale was determined as 0.970 and the total Omega value as 0.971. The correlation obtained by the test-retest method varies between 0.660 and 0.509 of the factors. It was determined that the factors determined in the scale explained 64.295% of the total variance. In this study, the validity and reliability of the "Teachers' Perception Scale towards Use of Artificial Intelligence Tools in Education" was evaluated. The results of the research show that the scale is a valid and reliable measurement tool in determining teachers' perceptions about the use of artificial intelligence tools in education.
Thanks
Bu prestijli derginin özel sayısına katkıda bulunmak benim için büyük bir onurdur. İlgili çalışmayı bilimsel topluluğa sunma fırsatı verdikleri için tüm dergi ekibine minnettarım.
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Year 2024,
Volume: 11 Issue: H. Ferhan Odabaşı Gift Issue, 80 - 94, 31.12.2024
Seher Işık
,
Recep Çakır
,
Özgen Korkmaz
References
- Akkaya, B., Özkan, A. & Özkan, H. (2021). Artificial intelligence anxiety (AIA) scale: adaptation to Turkish, validity and reliability study. Alanya Academic Review Journal, 5(2), 1125-1146.
- Ahmed, F. M. (2020). The Adoption of Artificial Intelligence in UAE Education Sector. Unpublished Master's thesis, The British University, Dubai
- Bandura, A. (1997). Self-efficacy the exercise of control. New York: H. Freeman & Co. Student Success, 333, 48461.
- Büyüköztürk, Ş. (2002). Sosyal bilimler için veri analizi el kitabı [Data analysis handbook for social sciences]. Ankara: PegemA Pub.
- Bryman, A., & Cramer, D. (1997). Quantitative data Analysis with SPSS for windows: A guide for social scientists. New York: Routledge
- Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278.
- Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100002.
- Coşkun, F., & Gülleroğlu, H. D. (2021). Development of artificial intelligence in history and its usage in education. Ankara University Journal of Faculty of Educational Sciences (Jfes), 54(3), 947-966.
- Çelebi, C., Yılmaz, F., Demir, U. Ve Karakuş, F. (2023). Artificial intelligence literacy: An adaptation study. Instructional Technology and Lifelong Learning, 4(2), 291-306.
- Çam, M. B., Çelik, N. C., Güntepe, E. T., & Durukan, Ü. G. (2021). Determining teacher candidates’ awareness of artificial intelligence technologies. Mustafa Kemal University Journal of Social Sciences Institute. 18(48), 263-285.
- El Asmar, W. (2022). The effectiveness of AI-powered digital educational platforms: Students’ attainment and teachers’ teaching strategies in a private high school in Dubai. Unpublished Dissertation, The British Universit, Dubai.
- Ergül, D. Y., & Taşar, M. F. (2023). Development and validation of the teachers’ digital competence scale (TDICOS). Journal of Learning and Teaching in Digital Age, 8(1), 148-160.
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- Goel, A. K., & Polepeddi, L. (2018). Jill Watson: A Virtual Teaching Assistant For Online Education. In Learning Engineering for Online Education (Pp. 120-143). Routledge.
- İşler, B., & Kılıç, M. (2021). The use and development of artificial intelligence in education. e-Journal of New Media/Yeni Medya Elektronik Dergi–eJNM, 1-11.
- Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers And Education: Artificial Intelligence, 2, 100020.
- Sousa, V. D., & Rojjanasrirat, W. (2011). Translation, adaptation and validation of instruments or scales for use in cross‐cultural health care research: a clear and user‐friendly guideline. Journal Of Evaluation in Clinical Practice, 17(2), 268-274.
- Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business horizons, 61(4), 577-586.
- Kolcu, G., Özceylan, G., Başer, A., & Altuntaş, S. B. (2021). Evaluation of the validity and reliability of the artificial intelligence anxiety scale in family physicians. Research Journal of Biomedical and Biotechnology, 2(1), 20-28.
- Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir-Kaya, M. (2022). The roles of personality traits, al anxiety, and demographic factors in attitudes toward artificial intelligence. International Journal of Human–Computer Interaction, 1-18. https://doi.org/10.1080/10447318.2022.2151730
- Kayabaş, İ. (2010). Yapay Zekâ Sohbet Ajanlarının Uzaktan Eğı̇tı̇mde Öğrencı̇ Destek Sı̇stemı̇ Olarak Kullanılabı̇lı̇rlı̇ğı̇ [Usability of artificial intelligence chat agents as student support systems in distance education]. Unpublished Master thesis, Anadolu University, Eskişehir, Turkey
- Moustakas, C. (1994). Phenomenological research methods. Thousand Oaks.
- Ma, Y. (2019). The impact of artificial intelligence on higher education. Unpublished Master Thesis. Missouri University of Science and Technology, USA
- Murphy, R. F. (2019). Artificial intelligence applications to support K-12 teachers and teaching. Rand Corporation, 10, 1-19.
- Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO, Paris
- Polatgil, M., & Güler, A. (2023). Adaptation of artificial intelligence literacy scale into Turkish. Journal of Quantitative Research in Social Sciences, 3(2), 99-114.
- Terzi, R. (2020). An adaptation of artificial intelligence anxiety scale into Turkish: Reliability and Validity Study. International Online Journal of Education and Teaching, 7(4), 1501-1515.
- Tavşancıl, E. (2005). Tutumların ölçülmesi ve SPSS ile veri analizi [Measuring attitudes and data analysis with SPSS] Ankara, Nobel Pub.
- Turgut, M. F., & Baykul, Y. (1992). Ölçekleme teknikleri [Scaling techniques]. Ankara: ÖSYM Pub.
- Timms, M. J. (2016). Letting artificial intelligence in education out of the box: educational cobots and smart classrooms. International Journal of Artificial Intelligence in Education, 26, 701-712.
- Ustun, A. B. (2023). Comparison of the use of educational virtual reality headset and virtual reality glasses in terms of acceptance and attitude of students. International Journal of Computers in Education, 6(1), 19-29.
- Uzun, Y., Tümtürk, A. Y., & Öztürk, H. (2021). Today and used in the future artificial intelligence. In 1st International Conference on Applied Engineering And Natural Sciences (Pp. 1-3).
- Üzüm, B., Elçiçek, M., & Pesen, A. (2024). Development of teachers’ perception scale regarding artificial intelligence use in education: validity and reliability study. International Journal of Human–Computer Interaction, 1-12.
- Karaoğlan Yılmaz, F. G. & Yılmaz, R. (2023). Adaptation of artificial intelligence literacy scale into Turkish. Journal of Information and Communication Technologies, 5(2), 172-190. https://doi.org/10.53694/bited.1376831
- Wang, B., Rau, P. L. P., & Yuan, T. (2023). measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence Literacy Scale. Behaviour & Information Technology, 42(9), 1324-1337.