The Examination of Preschool Teacher Candidates' Attitudes Towards Artificial Intelligence and Their Artificial Intelligence Literacy Relationship

Mehmet Mart , Gizem Kaya

  • Mehmet Mart: Necmettin Erbakan UNİVERSİTESİ
  • Gizem Kaya: Necmettin Erbakan UNİVERSİTESİ
  • Year : 2024
  • Vol : 2
  • Issue : 1
  •  Page : 91-109
Artificial intelligence is a tool used in various areas, which is inevitable and indispensable everyday by entering our lives with technologies. The aim of this study is to examine the relationship between preschool teacher candidates’ attitudes towards AI and AI Literacy. This study was designed with mixed research method. The population of the study consists of preschool teacher candidates who are undergraduate students in the field of preschool teacher training. The sample of this study consisted of 235 volunteer pre-service preschool teachers and simple random sampling method was used in the selection of this sample. In this study, the ‘General Attitude Towards Artificial Intelligence Scale’ developed by Schuman and Rodway (2020) and adapted into Turkish by Kaya et al. (2022) and the ‘Artificial Intelligence Literacy Scale’ developed by Wang et al. (2023) and adapted into Turkish by Polatgil and Güler (2023) were used as data collection tools to determine the attitudes of pre-service preschool teachers towards artificial intelligence. In addition to the scales, semi-structured interview technique, was also used in the study. In the research process, 235 pre-service teachers participated in the scales, and semi-structured interview questions were applied to 9 teacher candidates who volunteered to participate in the interview. The quantitative data obtained was analysed with SPSS 29.0 and the qualitative data was analysed using Maxqda programme. As a result of the analyses of the study, the differences between the levels of attitudes towards AI and AI literacy according to different variables in terms of gender, age and grade level were examined and these findings were analysed according to the interview questions. According to the results, it was revealed that the use of artificial intelligence tools is shaped according to the needs.
Cite this Article As : Mart, M., & Kaya, G. (2024). Okul öncesi öğretmen adaylarının yapay zekâya yönelik tutumları ve yapay zekâ okur yazarlığı arasındaki ilişkinin incelenmesi. Edutech Research, 2(1), 91-109.

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Conflict of interest : The authors declare that they have no conflict of interest.
Edutech Research
2024, Vol. 2 (1)
E-ISSN: 3023-6665
Received : , Accepted : , Published Online :

References

  1. Avcı, E., Coşkuntuncel, O., & İnandi, Y. (2012). Ortaöğretim On İkinci Sınıf Öğrencilerinin Matematik Dersine Karşı Tutumları. MEÜEFD, 7(1), 50-58. https://doi.org/10.17860/efd.44108
  2. Baker, T., & Smith, L. (2019). Educ-AI-tion Rebooted ? Exploring the future of artificial intelligence in schools and colleges. https://www.semanticscholar.org/paper/Educ-AI-tion-Rebooted-Exploring-the-future-of-in-Baker-Smith/d01f96c020e0b1f72df9a55c93fd7672001a8e91
  3. Baş, G. (2023). Tutum-davranış Ilişkisi ve Ideolojik Asimetri: Güneydoğu Bölgesindeki Türk, Arap ve Kürtlerin Suriyeli Göçmenlere Yönelik Tutumları ve Sosyal Mesafe Algıları [Yayınlanmamış Doktora tezi], Bursa Uludağ Üniversitesi. https://www.proquest.com/pqdtglobal/docview/2866355975/abstract/7252A0FEF013472DPQ/1
  4. Christou, P. (2023). The Use of Artificial Intelligence (AI) in Qualitative Research for Theory Development. The Qualitative Report, 28(9), 2739-2755. https://doi.org/10.46743/2160-3715/2023.6536
  5. Creswell, J. W. (2021). Karma Yöntem Araştırmalarına Giriş (M. Sözbilir, Ed.; 3. bs). Pegem Akademi Yayıncılık. https://doi.org/10.14527/9786053184720
  6. Çam, M. B., Çelik, N. C., Güntepe, E. T., & Durukan, Ü. G. (2021). Öğretmen Adaylarının Yapay Zekâ Teknolojileri ile İlgili Farkındalıklarının Belirlenmesi. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 18(48), 263-285.
  7. Çelebi, C., Demir, U., & Karakuş, F. (2023). Yapay Zekâ Okuryazarlığı Konulu Çalışmaların Sistematik Derleme Yöntemiyle İncelenmesi. Necmettin Erbakan Üniversitesi Ereğli Eğitim Fakültesi Dergisi, 5(2), 535-560.
  8. Çoklar, A., & Çalışkan, M. (2019). Öğretmen Adaylarının Özgüvenleri ile Teknoloji Kullanımları Arasındaki İlişkinin İncelenmesi. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, 1(2), 86-98. https://doi.org/10.38151/akef.578807
  9. Demi̇r, K., & Güraksin, G. E. (2022). Determining middle school students’ perceptions of the concept of artificial intelligence: A metaphor analysis. Participatory Educational Research, 9(2), 297-312. https://doi.org/10.17275/per.22.41.9.2
  10. Işık, N. N., & Demirel, E. E. (2023). An Investigation of Prospective Teachers’ and Teacher Trainers’ 21st Century Skills Awareness. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi, 5(3), 1199-1215. https://doi.org/10.38151/akef.2023.107
  11. Kalkan, B., Kılıç, A. F., & Duran Yılmaz, A. (2022). Teknoloji kullanımında ebeveyn tutum ölçeğinin geliştirilmesi. Erken Çocukluk Çalışmaları Dergisi, 6(2), 364-386. https://doi.org/10.24130/eccdjecs.1967202262367
  12. Kaya, F., Aydin, F., Schepman, A., Rodway, P., Yetişensoy, O., & Demir Kaya, M. (2022). The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence. International Journal of Human–Computer Interaction, 40(2), 497-514. https://doi.org/10.1080/10447318.2022.2151730
  13. Kayım, N. (2021). Yapay zekânın halkla ilişkiler uygulamalarındaki yeri [Yayınlanmamış Doktora Tezi], İstanbul Üniversitesi.
  14. Konca, A. S., Izci, B., & Simsar, A. (2024). Evaluating popular STEM applications for young children. European Early Childhood Education Research Journal, 32(1), 130-146. https://doi.org/10.1080/1350293X.2023.2221414
  15. Kong, S., Cheung, W. M.-Y., & Zhang, G. (2022). Evaluating artificial intelligence literacy courses for fostering conceptual learning, literacy and empowerment in university students: Refocusing to conceptual building. Computers in Human Behavior Reports, 7, 100223. https://doi.org/10.1016/j.chbr.2022.100223
  16. Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. https://doi.org/10.1016/j.caeai.2022.100101
  17. Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-16. https://doi.org/10.1145/3313831.3376727
  18. Mart, M., & Campbell-Barr, V. (2021). Professional development opportunities for early years teachers using social media: The case of England and Turkey. Education 3-13, 49(4), 448-463. https://doi.org/10.1080/03004279.2020.1734041
  19. Martin, F., Zhuang, M., & Schaefer, D. (2024). Systematic review of research on artificial intelligence in K-12 education (2017–2022). Computers and Education: Artificial Intelligence, 6, 100195. https://doi.org/10.1016/j.caeai.2023.100195
  20. Murphy, R. F. (2019). Artificial Intelligence Applications to Support K–12 Teachers and Teaching. RAND Corporation. 1-20. http://www.jstor.org/stable/resrep19907
  21. Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020
  22. Özer, S., Yazıcı, A. S., Akgül, S., & Yıldırım, A. (2023). Okullarda yapay zekâ kullanımına ilişkin öğretmen görüşleri. Ulusal Eğitim Dergisi, 3(10), 1776-1794.
  23. Polatgi̇l, M., & Güler, A. (2023). Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe’ye Uyarlanması. Sosyal Bilimlerde Nicel Araştırmalar Dergisi, 3(2), 99-114.
  24. Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
  25. Simsar, A., & Kadim, M. (2017). Okul Öncesi Öğretmenlerinin Bilişim Teknolojilerini Kullanma Durumları Ve Bunun Öğretime Etkisi. Kilis 7 Aralık Üniversitesi Sosyal Bilimler Dergisi, 7(14), 127-146.
  26. Su, J., & Yang, W. (2023). Artificial Intelligence and Robotics for Young Children: Redeveloping the Five Big Ideas Framework. ECNU Review of Education, 0(0), 1-14. https://doi.org/10.1177/20965311231218013
  27. Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (C. 6). Pearson Education.
  28. Tabier, E., & Bakanay, Ç. D. (2023). Okul Öncesi Eğitimde Müze Eğitim Ortamları ve Yapay Zekâ Uygulamaları. Journal Of Social Humanities and Administrative Sciences, 65(65), 3082-3088. https://doi.org/10.29228/JOSHAS.70500
  29. Wang, B., Rau, P.-L., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42, 1-14. https://doi.org/10.1080/0144929X.2022.2072768