Ye, L., Ismail, H. H., & Abdul Aziz, A. (2025). Bridging the AI gap: A needs analysis of Chinese pre-service EFL teachers in developing Intelligent-Technological Pedagogical Content Knowledge. Arab World English Journal (AWEJ), Special Issue on Artificial Intelligence, 59–80. https://doi.org/10.24093/awej/ai.4 Abstract: “This study explores the readiness and learning needs of…
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Nyamwange, C. (2025). Assessing the extent of integration of artificial intelligence in teaching and learning at Kenyan universities. Pan-African Journal of Education and Social Sciences, 6(1), 76–87. https://doi.org/10.56893/pajes2025v06i01.06 Abstract: “Artificial Intelligence (AI) in university teaching is reshaping higher education by enhancing instructional methods, student engagement, and learning outcomes. This study…
Comments closedCelik, I., & Dogan, S. (2025). Intelligent-TPACK for AI-assisted literacy instruction: A novel technological approach to prepare teachers for future classrooms. In J. D. DeHart, S. Abas, R. A. Mora, & D. Gibbons-Pyles (Eds.). Reimagining literacy in the age of AI: Theory and practice (Chapter 5). Routledge. https://doi.org/10.1201/9781003510635 Abstract: “The…
Comments closedAzzam, A., & Charles, T. (2025). K-12 STEM teachers’ experiences with artificial intelligence. TEM Journal, 14(1), 463–468. https://doi.org/10.18421/TEM141-41 Abstract: “This study explores the experiences of K-12 STEM teachers integrating artificial intelligence (AI) into their teaching practices. Through qualitative interviews with 20 teachers, the research identifies challenges and opportunities associated with…
Comments closedPaidican Soto, M. A., & Arredondo Herrera, P. A. (2024). Artificial intelligence in technical pedagogical content knowledge (TPACK) contexts: A literature review. Panorama, 18(35). https://dialnet.unirioja.es/descarga/articulo/9887004.pdf Abstract: “The aim of this research was to examine the scientific production of the technical pedagogical content knowledge model (TPACK) in the context of artificial…
Comments closedZhang, Y. (2024). A lesson study on a MOOC-based and AI-powered flipped teaching and assessment of EFL writing model: Teachers’ and students’ growth. International Journal for Lesson & Learning Studies, 13(1), 28–40. https://doi.org/10.1108/ijlls-07-2023-0085 Abstract: “Purpose: The lesson study aims to examine college English teachers’ growth in technological pedagogical content knowledge…
Comments closedPörn, R., Braskén, M., Wingren, M., & Andersson, S. (2024). Attitudes towards and expectations on the role of artificial intelligence in the classroom among digitally skilled Finnish K-12 mathematics teachers. LUMAT: International Journal on Math, Science and Technology Education, 12(3). https://doi.org/10.31129/lumat.12.3.2102 Abstract: “The growing impact and importance of artificial intelligence…
Comments closedGoodman, J., Handa, V., Wilson, R. E., & Bradbury, L. U. (2024). Promises and pitfalls: Using an AI chatbot as a tool in 5E lesson planning. Innovations in Science Teacher Education, 9(1). https://innovations.theaste.org/promises-and-pitfalls-using-an-ai-chatbot-as-a-tool-in-5e-lesson-planning/ Abstract: “The authors describe how we approached using an AI chatbot, ChatGPT, during the spring 2023 semester with…
Comments closedWang, T. (2024). Using lesson study as a strategy to build in-service teacher’s capacity of K-12 AI education in Hong Kong. In E. C. K. Cheng, & B. Lander (Eds.), Implementing a 21st century competency-based curriculum through lesson study (pp. 202–219). https://doi.org/10.4324/9781003374107-14 Abstract: “Artificial Intelligence (AI) education is a rapidly…
Comments closedChiu, T. K. F., Falloon, G., Song, Y., Wong, V. W. L., Zhao, L., & Ismailov, M. A self-determination theory approach to teacher digital competence development. Computers & Education, 214, Article 105017. https://doi.org/10.1016/j.compedu.2024.105017 Abstract: “Teacher Digital Competence (TDC) framework guides policy revision and professional development, empowering teachers for future classrooms…
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