PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Cavalcanti, A. P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y. S., Gašević, D., & Mello, R. F. (2021). Automatic feedback in online learning environments: A systematic literature review. Computers and Education: Artificial Intelligence, 2, Article 100027. https://doi.org/10.1016/J.CAEAI.2021.100027
  
  Celik, I. (2023). Towards intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, Article 107468. https://doi.org/10.1016/j.chb.2022.107468
  
  Kong, H., Jiang, X., Zhou, X., Baum, T., Li, J., & Yu, J. (2024). Influence of artificial intelligence (AI) perception on career resilience and informal learning. Tourism Review, 79(1), 219–233. https://doi.org/10.1108/TR-10-2022-0521/FULL/XML
  
  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
  
  Ning, Y., Zhang, C., Xu, B., Zhou, Y., & Wijaya, T. T. (2024). Teachers’ AI-TPACK: Exploring the relationship between knowledge elements. Sustainability (Switzerland), 16(3), Article 978. https://doi.org/10.3390/SU16030978/S1
  
  Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8), Article em2307. https://doi.org/10.29333/EJMSTE/13428
  
  Safriana, S., Irfan, A., & Fitri, Z. (2023). Science teachers perceptions of technological pedagogical content knowledge (TPACK) in urban area. Malikussaleh International Conference on Multidisciplinary Studies, 3, 00067-00067. https://doi.org/10.29103/micoms.v3i.232
  
  Zhao, C. (2022). Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence. Journal of Process Control, 116, 255–272. https://doi.org/10.1016/J.JPROCONT.2022.06.011