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Investigating the Faculty Members’ Attitudes towards Artificial Intelligence and their Relationship with Technology Integration

Yıl 2026, Sayı: Erken Görünüm [Online First], 307 - 327
https://doi.org/10.9779/pauefd.1267071

Öz

Artificial Intelligence (AI) is one of the rapidly booming areas of educational technology. The present study sought to investigate the relationship between university faculty members’ attitudes towards AI and their technology integration across science and other academic disciplines. The study employed a descriptive correlational design and collected data from 300 faculty members working in Universities across India from both science and other subject streams. For data analysis, regression analysis and mean differences were carried out based on teaching experience, gender, and subject streams. The results revealed a strong positive correlation between university faculty members’ attitudes towards AI and their technology integration among science faculty members than other academic disciplines. There was a significant difference in attitudes towards AI and technology integration based on gender and teaching experience. However, attitudes towards AI and technology integration did not differ based on subject streams.

Kaynakça

  • Alamodi, H., & Arafat, N. (2021). The effectiveness of an AI-enabled program for developing awareness of citizenship scientific values. Mobile Information Systems, e5968655. https://doi.org/10.1155/2021/5968655
  • Alemdag, E., Cevikbas, S. G., & Baran, E. (2020). The design, implementation and evaluation of a professional development programme to support faculty members’ technology integration in a public education centre. Studies in Continuing Education, 42(2), 213-239. https://doi.org/10.1080/0158037X.2019.1566119
  • AlKanaan, H. M. N. (2022). Awareness regarding the implication of artificial intelligence in science education among pre-service science faculty members. International Journal of Instruction, 15(3), 895–912. https://doi.org/10.29333/iji.2022.15348a
  • Alkaromah, A. H., Fauziati, E., & Asib, A. (2020). Students’ Perception on the Information and Communication Technology (ICT) Tools in English Language Teaching. ELS Journal on Interdisciplinary Studies in Humanities, 3(1), 122-129. https://doi.org/10.34050/els-jish.v3i1.9522
  • Atman Uslu, N., & Usluel, Y. K. (2019). Predicting technology integration based on a conceptual framework for ICT use in education. Technology, Pedagogy and Education, 28(5), 517–531. https://doi.org/10.1080/1475939X.2019.1668293
  • Baran, E., Bilici, S., Albayrak Sarı, A., & Tondeur, J. (2017). Investigating the impact of teacher education strategies on preservice faculty members’ TPACK. British Journal of Educational Technology, 50. https://doi.org/10.1111/bjet.12565
  • Birisci, S., & Kul, U. (2019). Predictors of technology integration self-efficacy beliefs of preservice faculty members. Contemporary Educational Technology, 10(1), 75–93. https://doi.org/10.30935/cet.512537
  • Bradaric, B. D., & Tresselt, D. B. (2022). Factors influencing undergraduate education in an expanding virtual world during COVID-19. Education and Information Technologies, 27(9), 11991–12002. https://doi.org/10.1007/s10639-022-11104-6
  • Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233
  • Chounta, I.-A., Bardone, E., Raudsep, A., & Pedaste, M. (2022). Exploring faculty members’ 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
  • Cuhadar, C. (2018). Investigation of pre-service faculty members’ levels of readiness to technology integration in education. Contemporary Educational Technology, 9(1), 6175. https://doi.org/10.30935/cedtech/6211
  • Dai, Y., Liu, A., Qin, J., Guo, Y., Jong, M. S. Y., Chai, C. S., & Lin, Z. (2023). Collaborative construction of artificial intelligence curriculum in primary schools. Journal of Engineering Education, 112(1), 23-42. https://doi.org/10.1002/jee.20503
  • Dergunova, Y., Aubakirova, R. Z., Yelmuratova, B. Z., Gulmira, T. M., Yuzikovna, P. N., Antikeyeva, S. (2022). Artificial intelligence awareness levels of students. International Journal of Emerging Technologies in Learning (IJET), 17(18). https://doi.org/10.3991/ijet.v17i18.32195
  • Druga, S., Otero, N., & Ko, A. J. (2022). The landscape of teaching resources for ai education. In Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education (pp. 96–102) https://doi.org/10.1145/3502718.3524782
  • El-Ansari, M. (2021). Exploring the applicability of artificial intelligence in transnational higher education. International Journal of Management Cases, 23(2), 20–33. https://doi.org/10.4236/jhrss.2023.113034
  • Farjon, D., Smits, A., & Voogt, J. (2019). Technology integration of pre-service faculty members is explained by attitudes and beliefs, competency, access, and experience. Computers & Education, 130, 81–93. https://doi.org/10.1016/j.compedu.2018.11.010
  • Fernández-Morante, C., López, B. C., Casal-Otero, L., & León, F. M. (2023). Faculty members’ digital competence. the case of the university system of Galicia. Journal of New Approaches in Educational Research, 12(1). https://doi.org/10.7821/naer.2023.1.1139
  • Field, A. (2009). Discovering Statistics Using SPSS (3rd Ed), Sage Publications Ltd.
  • García-Lázaro, I., Colás-Bravo, M. P., & Conde-Jiménez, J. (2022). The impact of perceived self-efficacy and satisfaction on preservice faculty members’ well-being during the practicum experience. Sustainability, 14(16). https://doi.org/10.3390/su141610185
  • Hamutoglu, N., & Başarmak, U. (2020). External and internal barriers in technology integration: A structural regression analysis. Journal of Information Technology Education: Research, 19, 17-40. Ahttps://doi.org/10.28945/4497
  • Hinojo-Lucena, F.-J., Aznar-Díaz, I., Cáceres-Reche, M.-P., & Romero-Rodríguez, J.-M. (2019). artificial intelligence in higher education: a bibliometric study on its impact in scientific literature. Education Sciences, 9(1), https://doi.org/10.3390/educsci9010051
  • Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(3), 504–526. https://doi.org/10.1007/s40593-021-00239-1
  • Joshi, S., Rambola, R. K., & Churi, P. (2021). evaluating artificial intelligence in education for the next generation. Journal of Physics: Conference Series, 1714(1), 012039. https://doi.org/10.1088/1742-6596/1714/1/012039
  • Kuleto, V., Ilić, M., Dedić, V., & Raketić, K. (2021). Application of artificial intelligence and machine learning in higher education, available platforms and examining students’ awareness. EdTech Journal, 1, 24–28. https://doi.org/10.18485/edtech.2021.1.1.2
  • Kuru Gönen, S. İ. (2019). A qualitative study on a situated experience of technology integration: Reflections from pre-service faculty members and students. Computer Assisted Language Learning, 32(3), 163–189. https://doi.org/10.1080/09588221.2018.1552974
  • Lawrence, J. E., & Tar, U. A. (2018). Factors that influence faculty members’ adoption and integration of ICT in teaching/learning process. Educational Media International, 55(1), 79–105. https://doi.org/10.1080/09523987.2018.1439712
  • Lee, I., & Perret, B. (2022). Preparing high school faculty members to integrate AI methods into STEM classrooms. In Proceedings of the AAAI Conference on Artificial Intelligence, 36(11). https://doi.org/10.1609/aaai.v36i11.21557
  • Liu, Y., & Huang, J. (2019). Practice and exploration of artificial intelligence education in universities of political science and law with python. In Proceedings of the 2019 3rd International Seminar on Education, Management and Social Sciences (pp. 549–553). https://doi.org/10.2991/isemss-19.2019.106
  • Mirķe, E., Cakula, S., & Tzivian, L. (2019). Measuring faculty members-as-learners’ digital skills and readiness to study online for successful e-learning experience. Journal of Teacher Education for Sustainability, 21(2), 5–16. https://doi.org/10.2478/jtes-2019 0013
  • Nandini, (2020). New education policy 2020 highlights school and higher education to see major changes. https://www.hindustantimes.com/education/new-education-policy-2020-live-updates-important-takeaways/story-yYm1QaeNyFW4uTTU3g9bJO.html
  • Nguyen, T. T. U., Pham, H. T., & Nguyen, T. T. K. (2022). Applying artificial intelligence (AI) to enhance teaching quality at FPT High School. In Proceedings of the 4th International Conference on Modern Educational Technology (pp. 7–12). https://doi.org/10.1145/3543407.3543409
  • Niederhauser, D., & Perkmen, S. (2008). Validation of the intrapersonal technology integration scale: assessing the influence of intrapersonal factors that influence technology integration. Computers in The Schools, 25, 98–111. https://doi.org/10.1080/07380560802157956
  • Niu, S. J., Luo, J., Niemi, H., Li, X., & Lu, Y. (2022). Faculty members’ and students’ views of using an AI-aided educational platform for supporting teaching and learning at Chinese schools. Education Sciences, 12(12), https://doi.org/10.3390/educsci12120858
  • Njiku, J., Jean Francois, M., & Mutarutinya, V. (2019). Understanding faculty members’ attitude towards computer technology integration in education: A review of literature. Education and Information Technologies, 24. https://doi.org/10.1007/s10639-019-09917-z
  • Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). McGraw-Hill.
  • Polat, H. & Kayaduman, H. (2022). An Emerging Trend in Online Instruction: E-Flipped Classroom. In G. Durak & S. Çankaya (Ed.) Handbook of Research on Managing and Designing Online Courses in Synchronous and Asynchronous Environments (pp. 159-177). IGI Global. https://doi.org/10.4018/978-1-7998-8701-0.ch008.
  • Prakasha, G. S., Hemalathaa, K., Tamizh, P., Bhavna, B., & Kenneth, A. (2021). Online test anxiety and exam performance of international baccalaureate diploma programme students under e-proctored exams amid Covid-19. Problems of Education in the 21st Century, 79(6), 942–955. https://doi.org/10.33225/pec/21.79.942
  • Prakasha, G. S., Leiva-Olivencia, J. J., Simpson, A., Grundmeyer, T., & Kenneth, A. (2024). Lived Experiences, Challenges, and Coping Mechanisms of Undergraduate Students on Cybersecurity in Digital Environments. Computers in the Schools, 1–23. https://doi.org/10.1080/07380569.2024.2363341
  • Rogers, E. M. (1983). Diffusion of innovations (3rd ed). Free Press ; Collier Macmillan. Salas-Pilco, S. Z. (2020). The impact of AI and robotics on physical, social-emotional and intellectual learning outcomes: An integrated analytical framework. British Journal of Educational Technology, 51(5), 1808–1825. https://doi.org/10.1111/bjet.12984
  • 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
  • Salas-Pilco, S. Z., & Yang, Y. (2022). Artificial intelligence applications in Latin American higher education: A systematic review. International Journal of Educational Technology in Higher Education, 19(1), 21. https://doi.org/10.1186/s41239-022-00326-w
  • Salas-Pilco, S. Z., Xiao, K., & Hu, X. (2022). Artificial intelligence and learning analytics in teacher education: a systematic review. Education Sciences, 12, 569. https://doi.org/10.3390/educsci12080569
  • 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
  • Shirin, A. (2022). Artificial intelligence technology on teaching-learning: exploring bangladeshi faculty members’ perceptions. Embedded Self Organising Systems, 9(4). https://doi.org/10.14464/ess.v9i4.553
  • Tondeur, J., Scherer, R., Baran, E., Siddiq, F., Valtonen, T., & Sointu, E. (2019). Teacher educators as gatekeepers: Preparing the next generation of faculty members for technology integration in education. British Journal of Educational Technology, 50(3), 1189–1209 https://doi.org/10.1111/bjet.12748
  • Van Berkel, N., Sarsenbayeva, Z., & Goncalves, J. (2023). The methodology of studying fairness perceptions in Artificial Intelligence: Contrasting CHI and FAccT. International Journal of Human-Computer Studies, 170, 102954. https://doi.org/10.1016/j.ijhcs.2022.102954
  • Vongkulluksn, V. W., Xie, K., & Bowman, M. A. (2018). The role of value on faculty members’ internalisation of external barriers and externalisation of personal beliefs for classroom technology integration. Computers & Education, 118, 70–81. https://doi.org/10.1016/j.compedu.2017.11.009
  • Walia, J. S., & Kumar, P. (2022). Tech transition: an exploratory study on educators’ AI awareness. International Journal of Virtual and Personal Learning Environments (IJVPLE), 12(1), 1–17. https://doi.org/10.4018/IJVPLE.295310
  • Weber, J. C., & Lamb, D. R. (1970). Statistics and research in physical education. St. Louis: CV Mosby Co, 1970, pp 59-64, 222.
  • Xia, X., & Li, X. (2022). Artificial intelligence for higher education development and teaching skills. Wireless Communications and Mobile Computing, e7614337. https://doi.org/10.1155/2022/7614337
  • Yang, C., Huan, S., & Yang, Y. (2020). A practical teaching mode for colleges supported by artificial intelligence. International Journal of Emerging Technologies in Learning (IJET), 15(17), https://doi.org/10.3991/ijet.v15i17.16737
  • Zang, G., Liu, M., & Yu, B. (2022). The application of 5g and artificial intelligence technology in the innovation and reform of college English education. Computational Intelligence and Neuroscience, e9008270. https://doi.org/10.1155/2022/9008270
  • Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
  • Zhou, C. (2023). Integration of modern technologies in higher education on the example of artificial intelligence use. Education and Information Technologies, 28. 3893-3910. https://doi.org/10.1007/s10639-022-11309-9

Üniversite Öğretim Elemanlarının Yapay Zekaya Yönelik Tutumlarının Teknoloji Entegrasyonu ile İlişkisinin İncelenmesi

Yıl 2026, Sayı: Erken Görünüm [Online First], 307 - 327
https://doi.org/10.9779/pauefd.1267071

Öz

Yapay Zeka (YZ), eğitim teknolojisinin hızla gelişen alanlarından biridir. Bu çalışma, üniversite öğretim üyelerinin YZ'ye yönelik tutumları ile fen bilimleri ve diğer akademik disiplinlerdeki teknoloji entegrasyonları arasındaki ilişkiyi araştırmayı amaçlamıştır. Çalışmada tanımlayıcı ve korelasyonel bir tasarım kullanılmış ve Hindistan'daki üniversitelerde hem fen bilimleri hem de diğer alanlarda çalışan 300 öğretim üyesinden veri toplanmıştır. Veri analizi için regresyon analizi ve ortalama farklılıkları, öğretim deneyimi, cinsiyet ve konu akışlarına göre gerçekleştirilmiştir. Sonuçlar, üniversite öğretim üyelerinin yapay zekaya yönelik tutumları ile fen bilimleri öğretim üyeleri arasındaki teknoloji entegrasyonu arasında diğer akademik disiplinlere göre güçlü bir pozitif korelasyon olduğunu ortaya koymuştur. Cinsiyet ve öğretim deneyimine bağlı olarak yapay zeka ve teknoloji entegrasyonuna yönelik tutumlarda anlamlı bir farklılık olduğu belirlenmiştir. Bununla birlikte, yapay zeka ve teknoloji entegrasyonuna yönelik tutumlar konu akışlarına göre farklılık göstermemiştir.

Kaynakça

  • Alamodi, H., & Arafat, N. (2021). The effectiveness of an AI-enabled program for developing awareness of citizenship scientific values. Mobile Information Systems, e5968655. https://doi.org/10.1155/2021/5968655
  • Alemdag, E., Cevikbas, S. G., & Baran, E. (2020). The design, implementation and evaluation of a professional development programme to support faculty members’ technology integration in a public education centre. Studies in Continuing Education, 42(2), 213-239. https://doi.org/10.1080/0158037X.2019.1566119
  • AlKanaan, H. M. N. (2022). Awareness regarding the implication of artificial intelligence in science education among pre-service science faculty members. International Journal of Instruction, 15(3), 895–912. https://doi.org/10.29333/iji.2022.15348a
  • Alkaromah, A. H., Fauziati, E., & Asib, A. (2020). Students’ Perception on the Information and Communication Technology (ICT) Tools in English Language Teaching. ELS Journal on Interdisciplinary Studies in Humanities, 3(1), 122-129. https://doi.org/10.34050/els-jish.v3i1.9522
  • Atman Uslu, N., & Usluel, Y. K. (2019). Predicting technology integration based on a conceptual framework for ICT use in education. Technology, Pedagogy and Education, 28(5), 517–531. https://doi.org/10.1080/1475939X.2019.1668293
  • Baran, E., Bilici, S., Albayrak Sarı, A., & Tondeur, J. (2017). Investigating the impact of teacher education strategies on preservice faculty members’ TPACK. British Journal of Educational Technology, 50. https://doi.org/10.1111/bjet.12565
  • Birisci, S., & Kul, U. (2019). Predictors of technology integration self-efficacy beliefs of preservice faculty members. Contemporary Educational Technology, 10(1), 75–93. https://doi.org/10.30935/cet.512537
  • Bradaric, B. D., & Tresselt, D. B. (2022). Factors influencing undergraduate education in an expanding virtual world during COVID-19. Education and Information Technologies, 27(9), 11991–12002. https://doi.org/10.1007/s10639-022-11104-6
  • Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233
  • Chounta, I.-A., Bardone, E., Raudsep, A., & Pedaste, M. (2022). Exploring faculty members’ 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
  • Cuhadar, C. (2018). Investigation of pre-service faculty members’ levels of readiness to technology integration in education. Contemporary Educational Technology, 9(1), 6175. https://doi.org/10.30935/cedtech/6211
  • Dai, Y., Liu, A., Qin, J., Guo, Y., Jong, M. S. Y., Chai, C. S., & Lin, Z. (2023). Collaborative construction of artificial intelligence curriculum in primary schools. Journal of Engineering Education, 112(1), 23-42. https://doi.org/10.1002/jee.20503
  • Dergunova, Y., Aubakirova, R. Z., Yelmuratova, B. Z., Gulmira, T. M., Yuzikovna, P. N., Antikeyeva, S. (2022). Artificial intelligence awareness levels of students. International Journal of Emerging Technologies in Learning (IJET), 17(18). https://doi.org/10.3991/ijet.v17i18.32195
  • Druga, S., Otero, N., & Ko, A. J. (2022). The landscape of teaching resources for ai education. In Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education (pp. 96–102) https://doi.org/10.1145/3502718.3524782
  • El-Ansari, M. (2021). Exploring the applicability of artificial intelligence in transnational higher education. International Journal of Management Cases, 23(2), 20–33. https://doi.org/10.4236/jhrss.2023.113034
  • Farjon, D., Smits, A., & Voogt, J. (2019). Technology integration of pre-service faculty members is explained by attitudes and beliefs, competency, access, and experience. Computers & Education, 130, 81–93. https://doi.org/10.1016/j.compedu.2018.11.010
  • Fernández-Morante, C., López, B. C., Casal-Otero, L., & León, F. M. (2023). Faculty members’ digital competence. the case of the university system of Galicia. Journal of New Approaches in Educational Research, 12(1). https://doi.org/10.7821/naer.2023.1.1139
  • Field, A. (2009). Discovering Statistics Using SPSS (3rd Ed), Sage Publications Ltd.
  • García-Lázaro, I., Colás-Bravo, M. P., & Conde-Jiménez, J. (2022). The impact of perceived self-efficacy and satisfaction on preservice faculty members’ well-being during the practicum experience. Sustainability, 14(16). https://doi.org/10.3390/su141610185
  • Hamutoglu, N., & Başarmak, U. (2020). External and internal barriers in technology integration: A structural regression analysis. Journal of Information Technology Education: Research, 19, 17-40. Ahttps://doi.org/10.28945/4497
  • Hinojo-Lucena, F.-J., Aznar-Díaz, I., Cáceres-Reche, M.-P., & Romero-Rodríguez, J.-M. (2019). artificial intelligence in higher education: a bibliometric study on its impact in scientific literature. Education Sciences, 9(1), https://doi.org/10.3390/educsci9010051
  • Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(3), 504–526. https://doi.org/10.1007/s40593-021-00239-1
  • Joshi, S., Rambola, R. K., & Churi, P. (2021). evaluating artificial intelligence in education for the next generation. Journal of Physics: Conference Series, 1714(1), 012039. https://doi.org/10.1088/1742-6596/1714/1/012039
  • Kuleto, V., Ilić, M., Dedić, V., & Raketić, K. (2021). Application of artificial intelligence and machine learning in higher education, available platforms and examining students’ awareness. EdTech Journal, 1, 24–28. https://doi.org/10.18485/edtech.2021.1.1.2
  • Kuru Gönen, S. İ. (2019). A qualitative study on a situated experience of technology integration: Reflections from pre-service faculty members and students. Computer Assisted Language Learning, 32(3), 163–189. https://doi.org/10.1080/09588221.2018.1552974
  • Lawrence, J. E., & Tar, U. A. (2018). Factors that influence faculty members’ adoption and integration of ICT in teaching/learning process. Educational Media International, 55(1), 79–105. https://doi.org/10.1080/09523987.2018.1439712
  • Lee, I., & Perret, B. (2022). Preparing high school faculty members to integrate AI methods into STEM classrooms. In Proceedings of the AAAI Conference on Artificial Intelligence, 36(11). https://doi.org/10.1609/aaai.v36i11.21557
  • Liu, Y., & Huang, J. (2019). Practice and exploration of artificial intelligence education in universities of political science and law with python. In Proceedings of the 2019 3rd International Seminar on Education, Management and Social Sciences (pp. 549–553). https://doi.org/10.2991/isemss-19.2019.106
  • Mirķe, E., Cakula, S., & Tzivian, L. (2019). Measuring faculty members-as-learners’ digital skills and readiness to study online for successful e-learning experience. Journal of Teacher Education for Sustainability, 21(2), 5–16. https://doi.org/10.2478/jtes-2019 0013
  • Nandini, (2020). New education policy 2020 highlights school and higher education to see major changes. https://www.hindustantimes.com/education/new-education-policy-2020-live-updates-important-takeaways/story-yYm1QaeNyFW4uTTU3g9bJO.html
  • Nguyen, T. T. U., Pham, H. T., & Nguyen, T. T. K. (2022). Applying artificial intelligence (AI) to enhance teaching quality at FPT High School. In Proceedings of the 4th International Conference on Modern Educational Technology (pp. 7–12). https://doi.org/10.1145/3543407.3543409
  • Niederhauser, D., & Perkmen, S. (2008). Validation of the intrapersonal technology integration scale: assessing the influence of intrapersonal factors that influence technology integration. Computers in The Schools, 25, 98–111. https://doi.org/10.1080/07380560802157956
  • Niu, S. J., Luo, J., Niemi, H., Li, X., & Lu, Y. (2022). Faculty members’ and students’ views of using an AI-aided educational platform for supporting teaching and learning at Chinese schools. Education Sciences, 12(12), https://doi.org/10.3390/educsci12120858
  • Njiku, J., Jean Francois, M., & Mutarutinya, V. (2019). Understanding faculty members’ attitude towards computer technology integration in education: A review of literature. Education and Information Technologies, 24. https://doi.org/10.1007/s10639-019-09917-z
  • Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). McGraw-Hill.
  • Polat, H. & Kayaduman, H. (2022). An Emerging Trend in Online Instruction: E-Flipped Classroom. In G. Durak & S. Çankaya (Ed.) Handbook of Research on Managing and Designing Online Courses in Synchronous and Asynchronous Environments (pp. 159-177). IGI Global. https://doi.org/10.4018/978-1-7998-8701-0.ch008.
  • Prakasha, G. S., Hemalathaa, K., Tamizh, P., Bhavna, B., & Kenneth, A. (2021). Online test anxiety and exam performance of international baccalaureate diploma programme students under e-proctored exams amid Covid-19. Problems of Education in the 21st Century, 79(6), 942–955. https://doi.org/10.33225/pec/21.79.942
  • Prakasha, G. S., Leiva-Olivencia, J. J., Simpson, A., Grundmeyer, T., & Kenneth, A. (2024). Lived Experiences, Challenges, and Coping Mechanisms of Undergraduate Students on Cybersecurity in Digital Environments. Computers in the Schools, 1–23. https://doi.org/10.1080/07380569.2024.2363341
  • Rogers, E. M. (1983). Diffusion of innovations (3rd ed). Free Press ; Collier Macmillan. Salas-Pilco, S. Z. (2020). The impact of AI and robotics on physical, social-emotional and intellectual learning outcomes: An integrated analytical framework. British Journal of Educational Technology, 51(5), 1808–1825. https://doi.org/10.1111/bjet.12984
  • 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
  • Salas-Pilco, S. Z., & Yang, Y. (2022). Artificial intelligence applications in Latin American higher education: A systematic review. International Journal of Educational Technology in Higher Education, 19(1), 21. https://doi.org/10.1186/s41239-022-00326-w
  • Salas-Pilco, S. Z., Xiao, K., & Hu, X. (2022). Artificial intelligence and learning analytics in teacher education: a systematic review. Education Sciences, 12, 569. https://doi.org/10.3390/educsci12080569
  • 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
  • Shirin, A. (2022). Artificial intelligence technology on teaching-learning: exploring bangladeshi faculty members’ perceptions. Embedded Self Organising Systems, 9(4). https://doi.org/10.14464/ess.v9i4.553
  • Tondeur, J., Scherer, R., Baran, E., Siddiq, F., Valtonen, T., & Sointu, E. (2019). Teacher educators as gatekeepers: Preparing the next generation of faculty members for technology integration in education. British Journal of Educational Technology, 50(3), 1189–1209 https://doi.org/10.1111/bjet.12748
  • Van Berkel, N., Sarsenbayeva, Z., & Goncalves, J. (2023). The methodology of studying fairness perceptions in Artificial Intelligence: Contrasting CHI and FAccT. International Journal of Human-Computer Studies, 170, 102954. https://doi.org/10.1016/j.ijhcs.2022.102954
  • Vongkulluksn, V. W., Xie, K., & Bowman, M. A. (2018). The role of value on faculty members’ internalisation of external barriers and externalisation of personal beliefs for classroom technology integration. Computers & Education, 118, 70–81. https://doi.org/10.1016/j.compedu.2017.11.009
  • Walia, J. S., & Kumar, P. (2022). Tech transition: an exploratory study on educators’ AI awareness. International Journal of Virtual and Personal Learning Environments (IJVPLE), 12(1), 1–17. https://doi.org/10.4018/IJVPLE.295310
  • Weber, J. C., & Lamb, D. R. (1970). Statistics and research in physical education. St. Louis: CV Mosby Co, 1970, pp 59-64, 222.
  • Xia, X., & Li, X. (2022). Artificial intelligence for higher education development and teaching skills. Wireless Communications and Mobile Computing, e7614337. https://doi.org/10.1155/2022/7614337
  • Yang, C., Huan, S., & Yang, Y. (2020). A practical teaching mode for colleges supported by artificial intelligence. International Journal of Emerging Technologies in Learning (IJET), 15(17), https://doi.org/10.3991/ijet.v15i17.16737
  • Zang, G., Liu, M., & Yu, B. (2022). The application of 5g and artificial intelligence technology in the innovation and reform of college English education. Computational Intelligence and Neuroscience, e9008270. https://doi.org/10.1155/2022/9008270
  • Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
  • Zhou, C. (2023). Integration of modern technologies in higher education on the example of artificial intelligence use. Education and Information Technologies, 28. 3893-3910. https://doi.org/10.1007/s10639-022-11309-9
Toplam 54 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Öğretmen Eğitimi ve Eğitimcilerin Mesleki Gelişimi
Bölüm Makaleler
Yazarlar

G S Prakasha 0000-0002-1287-7606

Rawat Sanskriti Bu kişi benim 0000-0002-6042-9074

Basak Ishani Bu kişi benim 0000-0002-8895-6861

Thirumalesha S Bu kişi benim 0009-0008-0310-280X

Erken Görünüm Tarihi 4 Aralık 2024
Yayımlanma Tarihi
Gönderilme Tarihi 17 Mart 2023
Kabul Tarihi 9 Eylül 2024
Yayımlandığı Sayı Yıl 2026 Sayı: Erken Görünüm [Online First]

Kaynak Göster

APA Prakasha, G. S., Sanskriti, R., Ishani, B., S, T. (2024). Üniversite Öğretim Elemanlarının Yapay Zekaya Yönelik Tutumlarının Teknoloji Entegrasyonu ile İlişkisinin İncelenmesi. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi(Erken Görünüm [Online First]), 307-327. https://doi.org/10.9779/pauefd.1267071