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Turkish Adaptation of the Artificial Intelligence Literacy Scale: Validity and Reliability Study (Targeting Education Stakeholders)

Year 2025, Volume: 45 Issue: 2, 649 - 663, 30.08.2025
https://doi.org/10.17152/gefad.1469370

Abstract

This study aimed to adapt the Artificial Intelligence Literacy Scale (AILS), developed by Wang, Rau, and Yuan (2023), to the Turkish culture for education stakeholders. Data for the study were collected from 646 participants including teacher candidates (university students), teachers, and school administrators (principals and vice principals). The AILS, consisting of four dimensions and a total of 12 items, was used as the data collection tool. Permission to use the scale was obtained, followed by the completion of the Turkish language equivalence process of the AILS. Subsequently, data were collected and analyzed. The validity and reliability of the AILS were tested through data analysis. The validity of the four-dimensional structure of the AILS was assessed using exploratory-confirmatory factor analysis, while reliability was evaluated using Cronbach's alpha coefficient. The results of validity and reliability analyses indicated that the AILS is a valid and reliable data collection tool suitable for use in the Turkish culture among education stakeholders.

References

  • Acciarini, C., Cappa, F., Boccardelli, P., & Oriani, R. (2023). How can organizations leverage big data to innovate their business models? A systematic literature review. Technovation, 123, 102713. https://doi.org/10.1016/j.technovation.2023.102713
  • Balıkçı, H. C., & Yıldız Durak, H. (2025). Öğretmenler için yapay zekâ okuryazarlığı (YZO) ölçeği: Bir Türkçe ölçek uyarlama çalışması. AKDENIZ 14th International Conference On Social Sciences, KYRENIA, 354-369. ISBN NR: 978-625-5962-57-7
  • Buchanan, B. G. (2005). A (very) brief history of artificial intelligence. AI Magazine, 26(4), 53-60. https://doi.org/10.1609/aimag.v26i4.1848
  • Büyüköztürk, Ş. (2013). Veri analizi el kitabı. Ankara: Pegem A.
  • Carolus, A., Koch, M., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS – meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies. https://doi.org/10.48550/arXiv.2302.09319
  • Cetindamar, D., Kitto, K., Wu, M., Zhang, Y., Abedin, B., & Knight, S. (2022). Explicating AI literacy of employees at digital workplaces. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2021.3138503
  • Chiu, T. K. F. (2021). A holistic approach to the design of artificial intelligence (AI) education for K-12 schools. TechTrends, 65(5), 796-807. https://doi.org/10.1007/s11528-021-00637-1
  • Coppin, B. (2004). Artificial intelligence illuminated. Jones & Bartlett Publishers Learning.
  • Çelebi, C., Yılmaz, F., Demir, U., & Karakuş, F. (2023). Artificial intelligence literacy: Anadaptation study. Instructional Technology and Lifelong Learning, 4(2), 291-306. https://doi.org/10.52911/itall.1401740
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve Lisrel uygulamaları. Ankara: Pegem A.
  • De Cremer, D., & Kasparov, G. (2021). AI should augment human intelligence, not replace it. Harvard Business Review (March 18). https://www.daviddecremer.com/wp-content/uploads/HBR2021_AI-Should-Augment-Human-Intelligence- Not-Replace-It.pdf
  • Druga, S., Vu, S. T., Likhith, E., & Qiu, a T. (2019). Inclusive AI literacy for kids around the world. Paper Presented at the Proceedings of FabLearn 2019.
  • Gerner, M. (2020). 7 Ways AI can help businesses during COVID-19. www.raconteur.net/technology/covid-19-aisolutions
  • Gökçe Tekin, Ö. (2025). Yapay zekâ okuryazarlık ölçeği geliştirme ve doğrulama çalışması. Batı Anadolu Eğitim Bilimleri Dergisi, 16(1), 418-434. https://doi.org/10.51460/baebd.1609636
  • Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial intelligence and computer science in education: From kindergarten to university. Paper Presented at the 2016 IEEE Frontiers in Education Conference (FIE) (October 12-15).
  • 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
  • Konishi, Y. (2015). What is Needed for AI literacy? Priorities for the Japanese economy in 2016. https://www.rieti.go.jp/en/columns/s16_0014.html
  • Laupichler, M. C., Aster, A., Haverkamp, N., & Raupach, T. (2023). Development of the “scale for the assessment of non-experts’ AI literacy”–An exploratory factor analysis. Computers in Human Behavior Reports, 12, 100338. https://doi.org/10.1016/j.chbr.2023.100338
  • Lee, A. V. Y. (2023). Supporting students’ generation of feedback in large-scale online course with artificial intelligence- enabled evaluation. Studies in Educational Evaluation, 77, 101250. https://doi.org/10.1016/j.stueduc.2023.101250 Long, D., Blunt, T., & Magerko, B. (2021). Co-designing AI literacy exhibits for informal learning spaces. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2). https://doi.org/10.1145/3476034 Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Conference on human factors in computing systems (CHI) (April 25-30). https://doi.org/10.1145/3313831.3376727 . Honolulu, HI, USA.
  • Mariani, M. M., Machado, I., Magrelli, V., & Dwivedi, Y. K. (2023). Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions. Technovation, 122, 102623. https://doi.org/10.1016/j.technovation.2022.102623
  • McCarthy, J. (2004). What is artificial intelligence? Engineering Materials and Design, 32(3), 1-14.
  • McCarthy, J., Minsky, M.L., Rochester, N., & Shannon, C.E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine, 27(4), 12-14. https://doi.org/10.1609/aimag.v27i4.1904 MEB (2024). 2023-2024 öğretim yılı eğitim istatistikleri. https://ankara.meb.gov.tr/
  • Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2023). Artificial intelligence in government: Taking stock and moving forward. Social Science Computer Review, 41(1), 123-140, https://doi.org/10.1177/08944393211034087
  • Mikalef, P., Lemmer, K., Schaefer, C., Ylinen, M., Fjørtoft, S.O., Torvatn, H.Y., … Niehaves, B. (2023). Examining how artificial intelligence capabilities can foster organizational performance in public organizations. Government Information Quarterly, 40(2), 101797.
  • Mukhuty, S., Upadhyay, A., & Rothwell, H. (2022). Strategic sustainable development of industry 4.0 through the lens of social responsibility: The role of human resource practices. Business Strategy and the Environment, 31(5), 2068-2081. https://doi.org/10.1002/bse.3008
  • Mellul, C. (2018). Emerging techniques in higher education and the workplace: An assessment. https://www.fiuc.org/bdf/pdf/body_of_text_mep.pdf
  • Neumann, O., Guirguis, K., & Steiner, R. (2022). Exploring artificial intelligence adoption in public organizations: A comparative case study. Public Management Review. https://doi.org/10.1080/14719037.2022.2048685
  • Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Salt Lake City, UT, USA: 84th Annual Meeting of the Association for Information Science & Technology (Oct. 29 – Nov. 3). https://doi.org/10.1002/pra2.487
  • Nuttah, M. M., Roma, P., Nigro, G. L., & Perrone, G. (2023). Understanding blockchain applications in industry 4.0: From information technology to manufacturing and operations management. Journal of Industrial Information Integration, 33, 100456, https://doi.org/10.1016/j.jii.2023.100456
  • Pinski, M., & Benlian, A. (2023). AI literacy - towards measuring human competency in artificial intelligence. Proceedings of the 56th Hawaii International Conference on System Sciences, 165-174.
  • Resnick, M., Berg, R., & Eisenberg, M. (2000). Beyond black boxes: Bringing transparency and aesthetics back to scientific investigation. Journal of the Learning Sciences, 9(1), 7-30. https://doi.org/10.1207/s15327809jls0901_3
  • Richer, M. H. (1985). Applications of Artificial Intelligence in Education-A Personal View. Physiologist, 28(5), 428-431. http://libaccess.mcmaster.ca/login?url=https://search.proquest.com/docview/63306556?accountid=12347%0Ahttp://sfx.scholarsportal.info/mcmaster?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aeric&atitle=Applicatio Rina, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital competence framework for citizenswith new examples of knowledge, skills and attitudes (No. JRC128415). Joint Research Centre (Seville site).
  • Robles, P., & Mallinson, D.J. (2023). Catching up with AI: pushing toward a cohesive governance framework. Politics and Policy, 51(3), 355-372, https://doi.org/10.1111/polp.12529
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9 Russell, S., & P. Norvig. 2002. Artificial ıntelligence: A modern approach. New Jersey: Pearson Education.
  • Sahoo, S., Upadhyay, A., & Kumar, A. (2023). Circular economy practices and environmental performance: analysing the role of big data analytics capability and responsible research and innovation. Business Strategy and the Environment, 32(8). https://doi.org/10.1002/bse.3471
  • Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16-29.
  • Steinbauer, G., Kandlhofer, M., Chklovski, T., Heintz, F., & Koenig, S. (2021). A differentiated discussion about AI education K-12. Kunstliche Intelligenz, 35(2), 131–137. https://doi.org/10.1007/s13218-021-00724-8
  • Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics. Boston: Allyn & Bacon.
  • 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. https://doi.org/10.1080/0144929X.2022.2072768
  • Wang, T., & Cheng, E. C. K. (2021). An investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 2, 100031.
  • Xiao, W., & M. Bie. (2019). The reform and practice of educational technology major in the age of artificial intelligence 2.0. Paper presented at the IOP Conference Series: Materials Science and Engineering.
  • Yousif, J. H., Saini, D k., & Uraibi, H. (2011). Artificial intelligence in e-learning-pedagogical and cognitive aspects. Proceedings of the World Congress on Engineering, 1, 997-1002.
  • YÖK (2024). 2023-2024 öğretim yılı istatistikleri. https://istatistik.yok.gov.tr/

Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik)

Year 2025, Volume: 45 Issue: 2, 649 - 663, 30.08.2025
https://doi.org/10.17152/gefad.1469370

Abstract

Araştırmada orijinali Wang, Rau ve Yuan (2023) tarafından geliştirilmiş olan yapay zekâ okuryazarlığı ölçeğinin, eğitim paydaşlarına yönelik, Türk kültürüne uyarlama çalışması gerçekleştirilmiştir. Amaç doğrultusunda araştırma verileri 646 katılımcıdan [öğretmen adayları (üniversite öğrencileri), öğretmenler ve okul yöneticileri (müdür ve müdür yardımcıları)] toplanmıştır. Çalışmada veri toplama aracı olarak Yapay Zekâ Okuryazarlığı Ölçeği (YZOÖ) kullanılmıştır. YZOÖ dört boyutlu olup toplam 12 maddeden oluşmaktadır. YZOÖ’nün Türkçeye uyarlanması kapsamında ilk olarak ölçek kullanım izni alınmıştır. Ardından başlayan YZOÖ’nün Türkçe dil eş-değerliği sürecinin tamamlanmasıyla çalışmanın verileri toplanarak analizler gerçekleştirilmiştir. Verilerin analizi doğrultusunda YZOÖ’nün geçerlik ve güvenirliği test edilmiştir. YZOÖ’nün dört boyutlu yapısının geçerliği açımlayıcı-doğrulayıcı faktör analizi ve güvenirliği Cronbach alfa katsayısı ile değerlendirilmiştir. Geçerlik ve güvenirlik analizleri sonucunda YZOÖ’nün, eğitim paydaşlarına yönelik, Türk kültüründe kullanılmaya uygun, geçerli ve güvenilir bir veri toplama aracı olduğu belirlenmiştir.

References

  • Acciarini, C., Cappa, F., Boccardelli, P., & Oriani, R. (2023). How can organizations leverage big data to innovate their business models? A systematic literature review. Technovation, 123, 102713. https://doi.org/10.1016/j.technovation.2023.102713
  • Balıkçı, H. C., & Yıldız Durak, H. (2025). Öğretmenler için yapay zekâ okuryazarlığı (YZO) ölçeği: Bir Türkçe ölçek uyarlama çalışması. AKDENIZ 14th International Conference On Social Sciences, KYRENIA, 354-369. ISBN NR: 978-625-5962-57-7
  • Buchanan, B. G. (2005). A (very) brief history of artificial intelligence. AI Magazine, 26(4), 53-60. https://doi.org/10.1609/aimag.v26i4.1848
  • Büyüköztürk, Ş. (2013). Veri analizi el kitabı. Ankara: Pegem A.
  • Carolus, A., Koch, M., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS – meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies. https://doi.org/10.48550/arXiv.2302.09319
  • Cetindamar, D., Kitto, K., Wu, M., Zhang, Y., Abedin, B., & Knight, S. (2022). Explicating AI literacy of employees at digital workplaces. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2021.3138503
  • Chiu, T. K. F. (2021). A holistic approach to the design of artificial intelligence (AI) education for K-12 schools. TechTrends, 65(5), 796-807. https://doi.org/10.1007/s11528-021-00637-1
  • Coppin, B. (2004). Artificial intelligence illuminated. Jones & Bartlett Publishers Learning.
  • Çelebi, C., Yılmaz, F., Demir, U., & Karakuş, F. (2023). Artificial intelligence literacy: Anadaptation study. Instructional Technology and Lifelong Learning, 4(2), 291-306. https://doi.org/10.52911/itall.1401740
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve Lisrel uygulamaları. Ankara: Pegem A.
  • De Cremer, D., & Kasparov, G. (2021). AI should augment human intelligence, not replace it. Harvard Business Review (March 18). https://www.daviddecremer.com/wp-content/uploads/HBR2021_AI-Should-Augment-Human-Intelligence- Not-Replace-It.pdf
  • Druga, S., Vu, S. T., Likhith, E., & Qiu, a T. (2019). Inclusive AI literacy for kids around the world. Paper Presented at the Proceedings of FabLearn 2019.
  • Gerner, M. (2020). 7 Ways AI can help businesses during COVID-19. www.raconteur.net/technology/covid-19-aisolutions
  • Gökçe Tekin, Ö. (2025). Yapay zekâ okuryazarlık ölçeği geliştirme ve doğrulama çalışması. Batı Anadolu Eğitim Bilimleri Dergisi, 16(1), 418-434. https://doi.org/10.51460/baebd.1609636
  • Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial intelligence and computer science in education: From kindergarten to university. Paper Presented at the 2016 IEEE Frontiers in Education Conference (FIE) (October 12-15).
  • 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
  • Konishi, Y. (2015). What is Needed for AI literacy? Priorities for the Japanese economy in 2016. https://www.rieti.go.jp/en/columns/s16_0014.html
  • Laupichler, M. C., Aster, A., Haverkamp, N., & Raupach, T. (2023). Development of the “scale for the assessment of non-experts’ AI literacy”–An exploratory factor analysis. Computers in Human Behavior Reports, 12, 100338. https://doi.org/10.1016/j.chbr.2023.100338
  • Lee, A. V. Y. (2023). Supporting students’ generation of feedback in large-scale online course with artificial intelligence- enabled evaluation. Studies in Educational Evaluation, 77, 101250. https://doi.org/10.1016/j.stueduc.2023.101250 Long, D., Blunt, T., & Magerko, B. (2021). Co-designing AI literacy exhibits for informal learning spaces. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2). https://doi.org/10.1145/3476034 Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Conference on human factors in computing systems (CHI) (April 25-30). https://doi.org/10.1145/3313831.3376727 . Honolulu, HI, USA.
  • Mariani, M. M., Machado, I., Magrelli, V., & Dwivedi, Y. K. (2023). Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions. Technovation, 122, 102623. https://doi.org/10.1016/j.technovation.2022.102623
  • McCarthy, J. (2004). What is artificial intelligence? Engineering Materials and Design, 32(3), 1-14.
  • McCarthy, J., Minsky, M.L., Rochester, N., & Shannon, C.E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine, 27(4), 12-14. https://doi.org/10.1609/aimag.v27i4.1904 MEB (2024). 2023-2024 öğretim yılı eğitim istatistikleri. https://ankara.meb.gov.tr/
  • Medaglia, R., Gil-Garcia, J. R., & Pardo, T. A. (2023). Artificial intelligence in government: Taking stock and moving forward. Social Science Computer Review, 41(1), 123-140, https://doi.org/10.1177/08944393211034087
  • Mikalef, P., Lemmer, K., Schaefer, C., Ylinen, M., Fjørtoft, S.O., Torvatn, H.Y., … Niehaves, B. (2023). Examining how artificial intelligence capabilities can foster organizational performance in public organizations. Government Information Quarterly, 40(2), 101797.
  • Mukhuty, S., Upadhyay, A., & Rothwell, H. (2022). Strategic sustainable development of industry 4.0 through the lens of social responsibility: The role of human resource practices. Business Strategy and the Environment, 31(5), 2068-2081. https://doi.org/10.1002/bse.3008
  • Mellul, C. (2018). Emerging techniques in higher education and the workplace: An assessment. https://www.fiuc.org/bdf/pdf/body_of_text_mep.pdf
  • Neumann, O., Guirguis, K., & Steiner, R. (2022). Exploring artificial intelligence adoption in public organizations: A comparative case study. Public Management Review. https://doi.org/10.1080/14719037.2022.2048685
  • Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021). AI literacy: Definition, teaching, evaluation and ethical issues. Salt Lake City, UT, USA: 84th Annual Meeting of the Association for Information Science & Technology (Oct. 29 – Nov. 3). https://doi.org/10.1002/pra2.487
  • Nuttah, M. M., Roma, P., Nigro, G. L., & Perrone, G. (2023). Understanding blockchain applications in industry 4.0: From information technology to manufacturing and operations management. Journal of Industrial Information Integration, 33, 100456, https://doi.org/10.1016/j.jii.2023.100456
  • Pinski, M., & Benlian, A. (2023). AI literacy - towards measuring human competency in artificial intelligence. Proceedings of the 56th Hawaii International Conference on System Sciences, 165-174.
  • Resnick, M., Berg, R., & Eisenberg, M. (2000). Beyond black boxes: Bringing transparency and aesthetics back to scientific investigation. Journal of the Learning Sciences, 9(1), 7-30. https://doi.org/10.1207/s15327809jls0901_3
  • Richer, M. H. (1985). Applications of Artificial Intelligence in Education-A Personal View. Physiologist, 28(5), 428-431. http://libaccess.mcmaster.ca/login?url=https://search.proquest.com/docview/63306556?accountid=12347%0Ahttp://sfx.scholarsportal.info/mcmaster?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aeric&atitle=Applicatio Rina, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The Digital competence framework for citizenswith new examples of knowledge, skills and attitudes (No. JRC128415). Joint Research Centre (Seville site).
  • Robles, P., & Mallinson, D.J. (2023). Catching up with AI: pushing toward a cohesive governance framework. Politics and Policy, 51(3), 355-372, https://doi.org/10.1111/polp.12529
  • Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9 Russell, S., & P. Norvig. 2002. Artificial ıntelligence: A modern approach. New Jersey: Pearson Education.
  • Sahoo, S., Upadhyay, A., & Kumar, A. (2023). Circular economy practices and environmental performance: analysing the role of big data analytics capability and responsible research and innovation. Business Strategy and the Environment, 32(8). https://doi.org/10.1002/bse.3471
  • Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16-29.
  • Steinbauer, G., Kandlhofer, M., Chklovski, T., Heintz, F., & Koenig, S. (2021). A differentiated discussion about AI education K-12. Kunstliche Intelligenz, 35(2), 131–137. https://doi.org/10.1007/s13218-021-00724-8
  • Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics. Boston: Allyn & Bacon.
  • 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. https://doi.org/10.1080/0144929X.2022.2072768
  • Wang, T., & Cheng, E. C. K. (2021). An investigation of barriers to Hong Kong K-12 schools incorporating Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 2, 100031.
  • Xiao, W., & M. Bie. (2019). The reform and practice of educational technology major in the age of artificial intelligence 2.0. Paper presented at the IOP Conference Series: Materials Science and Engineering.
  • Yousif, J. H., Saini, D k., & Uraibi, H. (2011). Artificial intelligence in e-learning-pedagogical and cognitive aspects. Proceedings of the World Congress on Engineering, 1, 997-1002.
  • YÖK (2024). 2023-2024 öğretim yılı istatistikleri. https://istatistik.yok.gov.tr/
There are 43 citations in total.

Details

Primary Language Turkish
Subjects Education Management
Journal Section Articles
Authors

Muhammet İbrahim Akyürek 0000-0001-9122-471X

Publication Date August 30, 2025
Submission Date April 16, 2024
Acceptance Date August 11, 2025
Published in Issue Year 2025 Volume: 45 Issue: 2

Cite

APA Akyürek, M. İ. (2025). Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik). Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 45(2), 649-663. https://doi.org/10.17152/gefad.1469370
AMA Akyürek Mİ. Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik). GUJGEF. August 2025;45(2):649-663. doi:10.17152/gefad.1469370
Chicago Akyürek, Muhammet İbrahim. “Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik Ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik)”. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi 45, no. 2 (August 2025): 649-63. https://doi.org/10.17152/gefad.1469370.
EndNote Akyürek Mİ (August 1, 2025) Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik). Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi 45 2 649–663.
IEEE M. İ. Akyürek, “Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik)”, GUJGEF, vol. 45, no. 2, pp. 649–663, 2025, doi: 10.17152/gefad.1469370.
ISNAD Akyürek, Muhammet İbrahim. “Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik Ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik)”. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi 45/2 (August2025), 649-663. https://doi.org/10.17152/gefad.1469370.
JAMA Akyürek Mİ. Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik). GUJGEF. 2025;45:649–663.
MLA Akyürek, Muhammet İbrahim. “Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik Ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik)”. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, vol. 45, no. 2, 2025, pp. 649-63, doi:10.17152/gefad.1469370.
Vancouver Akyürek Mİ. Yapay Zekâ Okuryazarlığı Ölçeğinin Türkçe Uyarlaması: Geçerlik ve Güvenirlik Çalışması (Eğitim Paydaşlarına Yönelik). GUJGEF. 2025;45(2):649-63.