Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2025, Sayı: Sosyal Bilimlerde Yapay Zeka: Kuram, Uygulama ve Gelecek Perspektifleri, 185 - 206, 07.12.2025
https://izlik.org/JA87DZ62BK

Öz

Kaynakça

  • Adewale, M. D., Azeta, A. A., Abayomi‐Alli, A., & Sambo-Magaji, A. (2024). Impact of artificial intelligence adoption on students’ academic performance in open and distance learning: A systematic literature review. Heliyon, 10(22), e40025. https://doi.org/10.1016/j.heliyon.2024.e40025
  • Akgün, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431. https://doi.org/10.1007/s43681-021-00096-7
  • AlTwijri, L., & Alghizzi, T. M. (2024). Investigating the integration of artificial intelligence in English as foreign language classes for enhancing learners’ affective factors: A systematic review. Heliyon, 10(10), e31053. https://doi.org/10.1016/j.heliyon.2024.e31053
  • Ayeni, O., O., Al Hamad, N., M., Chisom, O., N., Osawaru, B., & Adewusi, O., E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 2024, 18(02), 261–271. https://doi.org/10.30574/gscarr.2024.18.2.0062
  • Bancoro, J. C. (2024). The relationship between artificial intelligence (AI) usage and academic performance of business administration students. International Journal of Asian Business and Management, 3(1), 27–39. https://doi.org/10.55927/ijabm.v3i1.7876
  • Bartneck, C., Lütge, C., Wagner, A. R., & Welsh, S. (2020). Ethics in robotics and artificial intelligence. Springer. https://doi.org/10.1007/978-3-030-51110-4
  • Creswell, J. W. (2013). Nitel araştırma yöntemleri: Beş yaklaşıma göre nitel araştırma ve araştırma deseni (S. B. Demir, Çev.). Siyasal Kitabevi.
  • Dey, D. (2025). Enhancing educational tools through artificial intelligence in perspective of need of AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5031275
  • Finlay, L. (2002). “Outing” the researcher: The provenance, process, and practice of reflexivity. Qualitative Health Research, 12(4), 531–545. https://doi.org/10.1177/104973202129120052
  • Harry, A., & Sayudin, S. (2023). Role of AI in education. Interdisciplinary Journal and Humanity (INJURITY), 2(3), 260–272. https://doi.org/10.58631/injurity.v2i3.52
  • Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  • Jaldi, C. D., Ilkou, E., Schroeder, N. L., & Shimizu, C. (2024). Education in the era of neurosymbolic AI. arXiv. https://doi.org/10.48550/arxiv.2411.12763
  • Kamalov, F., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. arXiv. https://doi.org/10.48550/arxiv.2305.18303
  • Karpouzis, K., Pantazatos, D., Taouki, J., & Meli, K. (2024). Tailoring education with GenAI: A new horizon in lesson planning. IEEE Global Engineering Education Conference (EDUCON), 1–6. https://doi.org/10.1109/educon60312.2024.10578690
  • Kessler, G. (2023). Artificial intelligence and education: Promise, practices, and possibilities. Routledge.
  • Klímová, B., Pikhart, M., & Kacetl, J. (2023). Ethical issues of the use of AI-driven mobile apps for education. Frontiers in Public Health, 10, 1118116. https://doi.org/10.3389/fpubh.2022.1118116
  • Lampou, R. (2023). The integration of artificial intelligence in education: Opportunities and challenges. Review of Artificial Intelligence in Education, 4, 15–29. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15
  • Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
  • Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10(1), 23–45. https://doi.org/10.1186/s40561-023-00260-y
  • Ma, K., Zhang, Y., & Hui, B.-H. (2024). How does AI affect college? The impact of AI usage in college teaching on students’ innovative behavior and well-being. Behavioral Sciences, 14(12), 1223. https://doi.org/10.3390/bs14121223
  • Mello, R. F., Freitas, E., Pereira, F. D., Cabral, L., Tedesco, P., & Ramalho, G. (2023). Education in the age of generative AI: Context and recent developments. arXiv. https://doi.org/10.48550/arxiv.2309.12332
  • Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. Jossey-Bass.
  • Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). SAGE Publications.
  • Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
  • Ng, D. T. K., Leung, J. K. L., Su, J., Ng, C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137–154. https://doi.org/10.1007/s11423-023-10203-6
  • Oh, S., & Ahn, Y. (2024). Exploring teachers’ perception of artificial intelligence: The socio-emotional deficiency as opportunities and challenges in human-AI complementarity in K-12 education. Lecture Notes in Computer Science, 439–450. https://doi.org/10.1007/978-3-031-64299-9_41
  • Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: A comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–602. https://doi.org/10.51594/ijarss.v6i4.1011
  • Ou, S. (2024). Transforming education: The evolving role of artificial intelligence in the students’ academic performance. International Journal of Education and Humanities, 13(2), 163–177. https://doi.org/10.54097/cc1x7r95
  • Patton, M. Q. (2014). Qualitative research & evaluation methods (4th ed.). SAGE Publications.
  • Puentedura, R. R. (2013). SAMR: A contextualized introduction. [Blog post]. Hippasus. Retrieved from http://www.hippasus.com/rrpweblog/archives/2013/10/25/SAMRAContextualizedIntroduction.pdf
  • Roméro, M., Heiser, L., Lepage, A., et al. (2023). Teaching and learning in the age of artificial intelligence. arXiv. https://doi.org/10.48550/arxiv.2303.06956
  • Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(4), 123–138. https://doi.org/10.4236/jilsa.2023.154009
  • Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). SAGE Publications.
  • Sasikala, P., & Ravichandran, R. (2024). Study on the impact of artificial intelligence on student learning outcomes. Journal of Digital Learning and Education, 4(2), 145–160. https://doi.org/10.52562/jdle.v4i2.1234
  • Schreier, M. (2012). Qualitative content analysis in practice. SAGE Publications.
  • Shi, L., Ding, A.-C. E., & Choi, I. (2024). Investigating teachers’ use of an AI-enabled system and their perceptions of AI integration in science classrooms: A case study. Education Sciences, 14(11), 1187. https://doi.org/10.3390/educsci14111187
  • Szmyd, K., & Mitera, E. (2024). The impact of artificial intelligence on the development of critical thinking skills in students. European Research Studies Journal, 27(4), 1022–1035. https://doi.org/10.35808/ersj/3876
  • Tanjga, M. (2023). E-learning and the use of AI: A review of current practices and future directions. Open Science Framework. https://doi.org/10.32388/ap0208
  • Tonbuloğlu, B. (2023). An evaluation of the use of artificial intelligence applications in online education. Journal of Educational Technology and Online Learning, 6(4), 866–880. https://doi.org/10.31681/jetol.1335906
  • Yıldırım, A., & Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri (12. baskı). Seçkin Yayıncılık.
  • 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), 1–27. https://doi.org/10.1186/s41239-019-0171-0

Sosyal bilgiler öğretmenlerinin yapay zekâ araçlarını eğitim süreçlerinde kullanımına yönelik görüşleri

Yıl 2025, Sayı: Sosyal Bilimlerde Yapay Zeka: Kuram, Uygulama ve Gelecek Perspektifleri, 185 - 206, 07.12.2025
https://izlik.org/JA87DZ62BK

Öz

Bu nitel araştırma, sosyal bilgiler öğretmenlerinin yapay zekâ araçlarını eğitim süreçlerinde nasıl kullandıklarını ve bu araçlara yönelik bakış açılarını incelemeyi amaçlamaktadır. Çalışma, Türkiye’nin farklı bölgelerinde görev yapan ve amaçlı örnekleme yöntemiyle seçilen 12 sosyal bilgiler öğretmeni ile gerçekleştirilmiştir. Veriler, yarı yapılandırılmış görüşmeler yoluyla toplanmış ve içerik analizi yöntemiyle çözümlenmiştir. Araştırma bulguları, öğretmenlerin büyük çoğunluğunun yapay zekâ araçlarına olumlu ve işlevsel bir tutum sergilediğini ortaya koymaktadır. Katılımcılar, ChatGPT ve Canva AI gibi araçları özellikle ders planlama, öğretim materyali hazırlama ve öğrenci değerlendirme süreçlerinde etkin şekilde kullanmaktadır. Bu araçların öğretim sürecini verimli kıldığı, içerik çeşitliliği sağladığı ve öğrenci motivasyonunu artırdığı belirtilmiştir. Bununla birlikte, hazır içeriklere bağımlılık, eleştirel düşünmenin zayıflaması, intihal, özgünlük sorunları ve veri güvenliği gibi etik kaygılar da dile getirilmiştir. Öğretmenler, yapay zekâ araçlarının bilinçli, etik ve pedagojik ilkelere uygun biçimde kullanılmasının gerekliliğini vurgulamıştır. Sonuç olarak, öğretmenlerin yapay zekâ teknolojilerini etkili biçimde kullanabilmesi için dijital okuryazarlık ve mesleki gelişimle desteklenmesi gerektiği sonucuna ulaşılmıştır.

Kaynakça

  • Adewale, M. D., Azeta, A. A., Abayomi‐Alli, A., & Sambo-Magaji, A. (2024). Impact of artificial intelligence adoption on students’ academic performance in open and distance learning: A systematic literature review. Heliyon, 10(22), e40025. https://doi.org/10.1016/j.heliyon.2024.e40025
  • Akgün, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431. https://doi.org/10.1007/s43681-021-00096-7
  • AlTwijri, L., & Alghizzi, T. M. (2024). Investigating the integration of artificial intelligence in English as foreign language classes for enhancing learners’ affective factors: A systematic review. Heliyon, 10(10), e31053. https://doi.org/10.1016/j.heliyon.2024.e31053
  • Ayeni, O., O., Al Hamad, N., M., Chisom, O., N., Osawaru, B., & Adewusi, O., E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 2024, 18(02), 261–271. https://doi.org/10.30574/gscarr.2024.18.2.0062
  • Bancoro, J. C. (2024). The relationship between artificial intelligence (AI) usage and academic performance of business administration students. International Journal of Asian Business and Management, 3(1), 27–39. https://doi.org/10.55927/ijabm.v3i1.7876
  • Bartneck, C., Lütge, C., Wagner, A. R., & Welsh, S. (2020). Ethics in robotics and artificial intelligence. Springer. https://doi.org/10.1007/978-3-030-51110-4
  • Creswell, J. W. (2013). Nitel araştırma yöntemleri: Beş yaklaşıma göre nitel araştırma ve araştırma deseni (S. B. Demir, Çev.). Siyasal Kitabevi.
  • Dey, D. (2025). Enhancing educational tools through artificial intelligence in perspective of need of AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5031275
  • Finlay, L. (2002). “Outing” the researcher: The provenance, process, and practice of reflexivity. Qualitative Health Research, 12(4), 531–545. https://doi.org/10.1177/104973202129120052
  • Harry, A., & Sayudin, S. (2023). Role of AI in education. Interdisciplinary Journal and Humanity (INJURITY), 2(3), 260–272. https://doi.org/10.58631/injurity.v2i3.52
  • Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  • Jaldi, C. D., Ilkou, E., Schroeder, N. L., & Shimizu, C. (2024). Education in the era of neurosymbolic AI. arXiv. https://doi.org/10.48550/arxiv.2411.12763
  • Kamalov, F., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. arXiv. https://doi.org/10.48550/arxiv.2305.18303
  • Karpouzis, K., Pantazatos, D., Taouki, J., & Meli, K. (2024). Tailoring education with GenAI: A new horizon in lesson planning. IEEE Global Engineering Education Conference (EDUCON), 1–6. https://doi.org/10.1109/educon60312.2024.10578690
  • Kessler, G. (2023). Artificial intelligence and education: Promise, practices, and possibilities. Routledge.
  • Klímová, B., Pikhart, M., & Kacetl, J. (2023). Ethical issues of the use of AI-driven mobile apps for education. Frontiers in Public Health, 10, 1118116. https://doi.org/10.3389/fpubh.2022.1118116
  • Lampou, R. (2023). The integration of artificial intelligence in education: Opportunities and challenges. Review of Artificial Intelligence in Education, 4, 15–29. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15
  • Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
  • Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10(1), 23–45. https://doi.org/10.1186/s40561-023-00260-y
  • Ma, K., Zhang, Y., & Hui, B.-H. (2024). How does AI affect college? The impact of AI usage in college teaching on students’ innovative behavior and well-being. Behavioral Sciences, 14(12), 1223. https://doi.org/10.3390/bs14121223
  • Mello, R. F., Freitas, E., Pereira, F. D., Cabral, L., Tedesco, P., & Ramalho, G. (2023). Education in the age of generative AI: Context and recent developments. arXiv. https://doi.org/10.48550/arxiv.2309.12332
  • Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. Jossey-Bass.
  • Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). SAGE Publications.
  • Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
  • Ng, D. T. K., Leung, J. K. L., Su, J., Ng, C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137–154. https://doi.org/10.1007/s11423-023-10203-6
  • Oh, S., & Ahn, Y. (2024). Exploring teachers’ perception of artificial intelligence: The socio-emotional deficiency as opportunities and challenges in human-AI complementarity in K-12 education. Lecture Notes in Computer Science, 439–450. https://doi.org/10.1007/978-3-031-64299-9_41
  • Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: A comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–602. https://doi.org/10.51594/ijarss.v6i4.1011
  • Ou, S. (2024). Transforming education: The evolving role of artificial intelligence in the students’ academic performance. International Journal of Education and Humanities, 13(2), 163–177. https://doi.org/10.54097/cc1x7r95
  • Patton, M. Q. (2014). Qualitative research & evaluation methods (4th ed.). SAGE Publications.
  • Puentedura, R. R. (2013). SAMR: A contextualized introduction. [Blog post]. Hippasus. Retrieved from http://www.hippasus.com/rrpweblog/archives/2013/10/25/SAMRAContextualizedIntroduction.pdf
  • Roméro, M., Heiser, L., Lepage, A., et al. (2023). Teaching and learning in the age of artificial intelligence. arXiv. https://doi.org/10.48550/arxiv.2303.06956
  • Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(4), 123–138. https://doi.org/10.4236/jilsa.2023.154009
  • Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). SAGE Publications.
  • Sasikala, P., & Ravichandran, R. (2024). Study on the impact of artificial intelligence on student learning outcomes. Journal of Digital Learning and Education, 4(2), 145–160. https://doi.org/10.52562/jdle.v4i2.1234
  • Schreier, M. (2012). Qualitative content analysis in practice. SAGE Publications.
  • Shi, L., Ding, A.-C. E., & Choi, I. (2024). Investigating teachers’ use of an AI-enabled system and their perceptions of AI integration in science classrooms: A case study. Education Sciences, 14(11), 1187. https://doi.org/10.3390/educsci14111187
  • Szmyd, K., & Mitera, E. (2024). The impact of artificial intelligence on the development of critical thinking skills in students. European Research Studies Journal, 27(4), 1022–1035. https://doi.org/10.35808/ersj/3876
  • Tanjga, M. (2023). E-learning and the use of AI: A review of current practices and future directions. Open Science Framework. https://doi.org/10.32388/ap0208
  • Tonbuloğlu, B. (2023). An evaluation of the use of artificial intelligence applications in online education. Journal of Educational Technology and Online Learning, 6(4), 866–880. https://doi.org/10.31681/jetol.1335906
  • Yıldırım, A., & Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri (12. baskı). Seçkin Yayıncılık.
  • 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), 1–27. https://doi.org/10.1186/s41239-019-0171-0

Social studies teachers' perspectives on the use of artificial intelligence tools in educational processes

Yıl 2025, Sayı: Sosyal Bilimlerde Yapay Zeka: Kuram, Uygulama ve Gelecek Perspektifleri, 185 - 206, 07.12.2025
https://izlik.org/JA87DZ62BK

Öz

This qualitative study investigates how social studies teachers utilise artificial intelligence (AI) tools in their teaching practices and explores their attitudes toward these technologies. The research was conducted with 12 social studies teachers from various regions of Türkiye, selected through purposive sampling. Data were collected via semi-structured interviews and analysed using content analysis. Findings indicate that most participants hold a positive and pragmatic attitude toward artificial intelligence tools. Teachers frequently utilise applications such as ChatGPT and Canva AI, particularly in lesson planning, developing instructional materials, and assessing student performance. Teachers perceive these tools as enhancing teaching efficiency, diversifying content, and increasing student motivation. However, the study also highlights significant pedagogical and ethical concerns. Teachers noted risks such as students’ over-reliance on AI-generated content, a decline in critical thinking skills, plagiarism, and the questionable reliability of AI-produced information. The study also highlighted concerns about data privacy and the lack of appropriate guidelines for the use of artificial intelligence in education. Participants emphasised the importance of using artificial intelligence consciously and purposefully in the classroom. The study concludes that educators need structured training in digital literacy, artificial intelligence ethics, and pedagogically sound integration to effectively and ethically use artificial intelligence technologies in education.

Kaynakça

  • Adewale, M. D., Azeta, A. A., Abayomi‐Alli, A., & Sambo-Magaji, A. (2024). Impact of artificial intelligence adoption on students’ academic performance in open and distance learning: A systematic literature review. Heliyon, 10(22), e40025. https://doi.org/10.1016/j.heliyon.2024.e40025
  • Akgün, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431. https://doi.org/10.1007/s43681-021-00096-7
  • AlTwijri, L., & Alghizzi, T. M. (2024). Investigating the integration of artificial intelligence in English as foreign language classes for enhancing learners’ affective factors: A systematic review. Heliyon, 10(10), e31053. https://doi.org/10.1016/j.heliyon.2024.e31053
  • Ayeni, O., O., Al Hamad, N., M., Chisom, O., N., Osawaru, B., & Adewusi, O., E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 2024, 18(02), 261–271. https://doi.org/10.30574/gscarr.2024.18.2.0062
  • Bancoro, J. C. (2024). The relationship between artificial intelligence (AI) usage and academic performance of business administration students. International Journal of Asian Business and Management, 3(1), 27–39. https://doi.org/10.55927/ijabm.v3i1.7876
  • Bartneck, C., Lütge, C., Wagner, A. R., & Welsh, S. (2020). Ethics in robotics and artificial intelligence. Springer. https://doi.org/10.1007/978-3-030-51110-4
  • Creswell, J. W. (2013). Nitel araştırma yöntemleri: Beş yaklaşıma göre nitel araştırma ve araştırma deseni (S. B. Demir, Çev.). Siyasal Kitabevi.
  • Dey, D. (2025). Enhancing educational tools through artificial intelligence in perspective of need of AI. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5031275
  • Finlay, L. (2002). “Outing” the researcher: The provenance, process, and practice of reflexivity. Qualitative Health Research, 12(4), 531–545. https://doi.org/10.1177/104973202129120052
  • Harry, A., & Sayudin, S. (2023). Role of AI in education. Interdisciplinary Journal and Humanity (INJURITY), 2(3), 260–272. https://doi.org/10.58631/injurity.v2i3.52
  • Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
  • Jaldi, C. D., Ilkou, E., Schroeder, N. L., & Shimizu, C. (2024). Education in the era of neurosymbolic AI. arXiv. https://doi.org/10.48550/arxiv.2411.12763
  • Kamalov, F., & Gurrib, I. (2023). New era of artificial intelligence in education: Towards a sustainable multifaceted revolution. arXiv. https://doi.org/10.48550/arxiv.2305.18303
  • Karpouzis, K., Pantazatos, D., Taouki, J., & Meli, K. (2024). Tailoring education with GenAI: A new horizon in lesson planning. IEEE Global Engineering Education Conference (EDUCON), 1–6. https://doi.org/10.1109/educon60312.2024.10578690
  • Kessler, G. (2023). Artificial intelligence and education: Promise, practices, and possibilities. Routledge.
  • Klímová, B., Pikhart, M., & Kacetl, J. (2023). Ethical issues of the use of AI-driven mobile apps for education. Frontiers in Public Health, 10, 1118116. https://doi.org/10.3389/fpubh.2022.1118116
  • Lampou, R. (2023). The integration of artificial intelligence in education: Opportunities and challenges. Review of Artificial Intelligence in Education, 4, 15–29. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.15
  • Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.
  • Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10(1), 23–45. https://doi.org/10.1186/s40561-023-00260-y
  • Ma, K., Zhang, Y., & Hui, B.-H. (2024). How does AI affect college? The impact of AI usage in college teaching on students’ innovative behavior and well-being. Behavioral Sciences, 14(12), 1223. https://doi.org/10.3390/bs14121223
  • Mello, R. F., Freitas, E., Pereira, F. D., Cabral, L., Tedesco, P., & Ramalho, G. (2023). Education in the age of generative AI: Context and recent developments. arXiv. https://doi.org/10.48550/arxiv.2309.12332
  • Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. Jossey-Bass.
  • Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
  • Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). SAGE Publications.
  • Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
  • Ng, D. T. K., Leung, J. K. L., Su, J., Ng, C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137–154. https://doi.org/10.1007/s11423-023-10203-6
  • Oh, S., & Ahn, Y. (2024). Exploring teachers’ perception of artificial intelligence: The socio-emotional deficiency as opportunities and challenges in human-AI complementarity in K-12 education. Lecture Notes in Computer Science, 439–450. https://doi.org/10.1007/978-3-031-64299-9_41
  • Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: A comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589–602. https://doi.org/10.51594/ijarss.v6i4.1011
  • Ou, S. (2024). Transforming education: The evolving role of artificial intelligence in the students’ academic performance. International Journal of Education and Humanities, 13(2), 163–177. https://doi.org/10.54097/cc1x7r95
  • Patton, M. Q. (2014). Qualitative research & evaluation methods (4th ed.). SAGE Publications.
  • Puentedura, R. R. (2013). SAMR: A contextualized introduction. [Blog post]. Hippasus. Retrieved from http://www.hippasus.com/rrpweblog/archives/2013/10/25/SAMRAContextualizedIntroduction.pdf
  • Roméro, M., Heiser, L., Lepage, A., et al. (2023). Teaching and learning in the age of artificial intelligence. arXiv. https://doi.org/10.48550/arxiv.2303.06956
  • Roshanaei, M., Olivares, H., & Lopez, R. R. (2023). Harnessing AI to foster equity in education: Opportunities, challenges, and emerging strategies. Journal of Intelligent Learning Systems and Applications, 15(4), 123–138. https://doi.org/10.4236/jilsa.2023.154009
  • Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). SAGE Publications.
  • Sasikala, P., & Ravichandran, R. (2024). Study on the impact of artificial intelligence on student learning outcomes. Journal of Digital Learning and Education, 4(2), 145–160. https://doi.org/10.52562/jdle.v4i2.1234
  • Schreier, M. (2012). Qualitative content analysis in practice. SAGE Publications.
  • Shi, L., Ding, A.-C. E., & Choi, I. (2024). Investigating teachers’ use of an AI-enabled system and their perceptions of AI integration in science classrooms: A case study. Education Sciences, 14(11), 1187. https://doi.org/10.3390/educsci14111187
  • Szmyd, K., & Mitera, E. (2024). The impact of artificial intelligence on the development of critical thinking skills in students. European Research Studies Journal, 27(4), 1022–1035. https://doi.org/10.35808/ersj/3876
  • Tanjga, M. (2023). E-learning and the use of AI: A review of current practices and future directions. Open Science Framework. https://doi.org/10.32388/ap0208
  • Tonbuloğlu, B. (2023). An evaluation of the use of artificial intelligence applications in online education. Journal of Educational Technology and Online Learning, 6(4), 866–880. https://doi.org/10.31681/jetol.1335906
  • Yıldırım, A., & Şimşek, H. (2021). Sosyal bilimlerde nitel araştırma yöntemleri (12. baskı). Seçkin Yayıncılık.
  • 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), 1–27. https://doi.org/10.1186/s41239-019-0171-0
Toplam 42 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Alan Eğitimleri (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Erhan Yaylak 0000-0003-4612-3041

Gönderilme Tarihi 29 Temmuz 2025
Kabul Tarihi 11 Ekim 2025
Erken Görünüm Tarihi 4 Aralık 2025
Yayımlanma Tarihi 7 Aralık 2025
DOI https://doi.org/10.30783/nevsosbilen.1753115
IZ https://izlik.org/JA87DZ62BK
Yayımlandığı Sayı Yıl 2025 Sayı: Sosyal Bilimlerde Yapay Zeka: Kuram, Uygulama ve Gelecek Perspektifleri

Kaynak Göster

APA Yaylak, E. (2025). Sosyal bilgiler öğretmenlerinin yapay zekâ araçlarını eğitim süreçlerinde kullanımına yönelik görüşleri. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, Sosyal Bilimlerde Yapay Zeka: Kuram, Uygulama ve Gelecek Perspektifleri, 185-206. https://doi.org/10.30783/nevsosbilen.1753115