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Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature

Cilt: 12 Sayı: 24 21 Ekim 2024
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Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature

Öz

The integration of Artificial Intelligence (AI) into teacher education has been transformative, offering personalized learning experiences, enhanced professional development, and improved teaching methodologies. AI technologies such as Intelligent Tutoring Systems (ITS), AI-driven analytics, and automated assessment tools have become central to modern educational practices, significantly improving engagement, adaptability, and effectiveness. This study employs a qualitative thematic analysis of current literature on AI in teacher education, examining peer-reviewed articles and reports using thematic coding to identify key patterns, opportunities, and challenges. The findings reveal that AI enhances teacher education by providing personalized learning pathways, fostering critical thinking, and supporting ongoing professional growth. Technologies like ITS, Virtual Reality (VR), and AI-driven analytics have proven effective in promoting motivation and engagement among teachers. However, ethical challenges such as biases in AI systems and concerns regarding data privacy require continuous attention. Furthermore, a gap in teacher preparedness, particularly in developing AI literacy and integrating AI tools into classroom practices, is evident. Despite these challenges, AI offers substantial benefits, transforming teaching practices and enabling personalized, adaptive instruction that supports both teachers and students. The study emphasizes the need for comprehensive teacher training programs focusing on digital literacy and ethical AI use, ensuring educators can navigate an AI-enhanced educational environment effectively. This research contributes to the ongoing discourse by highlighting the need for ethical guidelines and robust teacher training programs, offering actionable insights for educators, policymakers, and institutions aiming to integrate AI into teacher education

Anahtar Kelimeler

Artificial intelligence, teacher education, professional development, pedagogy, intelligent tutoring systems, AI-driven analytics, digital literacy

Etik Beyan

Acknowledgement Due to the scope and method of the study, ethics committee permission was not required.

Kaynakça

  1. Akram, H., Abdelrady, A. H., Al-Adwan, A. S., & Ramzan, M. (2022). Teachers’ perceptions of technology integration in teaching-learning practices: A systematic review. Frontiers in Psychology, 13, 920317. https://doi.org/10.3389/fpsyg.2022.920317
  2. Alasadi, E. A., & Baiz, C. R. (2023). Generative AI in education and research: Opportunities, concerns, and solutions. Journal of Chemical Education, 100(8), 2965–2971. https://doi.org/10.1021/acs.jchemed.3c00323
  3. Alenezi, F. (2023). Artificial intelligence versus Arab universities: An enquiry into the Saudi context. Humanities and Management Sciences – Scientific Journal of King Faisal University, 1–7. https://doi.org/10.37575/h/edu/220038
  4. AlKanaan, H. M. N. (2022). Awareness regarding the implication of artificial intelligence in science education among pre-service science teachers. International Journal of Instruction, 15(3), 895–912. https://doi.org/10.29333/iji.2022.15348a
  5. Alotaibi, N., & Alshehri, A. (2023). Prospects and obstacles in using artificial intelligence in Saudi Arabia higher education institutions—the potential of AI-based learning outcomes. Sustainability, 15(13), 10723. https://doi.org/10.3390/su151310723
  6. Amanda, F. F., Sumitro, S. B., Lestari, S. R., & Ibrohim, I. (2022). The correlation of critical thinking and concept mastery to problem-solving skills: The role of complexity science-problem based learning model. Pedagogika, 146(2), 80–94. https://doi.org/10.15823/p.2022.146.4
  7. Amante, L., Batista de Souza, E., Quintas-Mendes, A., Monteiro, A. F., Miranda-Pinto, M., Osório, A., & Araújo, C. (2019). Computational thinking, programming, and robotics in basic education: Evaluation of an in-service teacher’s training b-learning experience. ICERI Proceedings, 10698–10705. https://doi.org/10.21125/iceri.2019.2626
  8. Baskoro, G. (2023). Innovation to improve critical thinking skills in Generation Z using peeragogy as a learning approach and artificial intelligence (AI) as a tool. Jurnal Teknik Industri, 25(2), 121–130. https://doi.org/10.9744/jti.25.2.121-130
  9. Benhayoun, L., & Lang, D. (2021). Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps’ identification using text mining. Human Systems Management, 40(5), 639–651. https://doi.org/10.3233/HSM-211179
  10. Betaubun, M. (2023). Personalized pathways to proficiency: Exploring the synergy of adaptive learning and artificial intelligence in English language learning. Technium Romanian Journal of Applied Sciences and Technology, 17, 60–66. https://doi.org/10.47577/technium.v17i.10047

Kaynak Göster

APA
Meylani, R. (2024). Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature. Journal of Computer and Education Research, 12(24), 600-637. https://doi.org/10.18009/jcer.1477709
AMA
1.Meylani R. Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature. JCER. 2024;12(24):600-637. doi:10.18009/jcer.1477709
Chicago
Meylani, Rusen. 2024. “Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature”. Journal of Computer and Education Research 12 (24): 600-637. https://doi.org/10.18009/jcer.1477709.
EndNote
Meylani R (01 Ekim 2024) Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature. Journal of Computer and Education Research 12 24 600–637.
IEEE
[1]R. Meylani, “Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature”, JCER, c. 12, sy 24, ss. 600–637, Eki. 2024, doi: 10.18009/jcer.1477709.
ISNAD
Meylani, Rusen. “Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature”. Journal of Computer and Education Research 12/24 (01 Ekim 2024): 600-637. https://doi.org/10.18009/jcer.1477709.
JAMA
1.Meylani R. Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature. JCER. 2024;12:600–637.
MLA
Meylani, Rusen. “Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature”. Journal of Computer and Education Research, c. 12, sy 24, Ekim 2024, ss. 600-37, doi:10.18009/jcer.1477709.
Vancouver
1.Rusen Meylani. Artificial Intelligence in the Education of Teachers: A Qualitative Synthesis of the Cutting-Edge Research Literature. JCER. 01 Ekim 2024;12(24):600-37. doi:10.18009/jcer.1477709

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