Reference (APA):
Tan, X., et al. (2024). Artificial intelligence in teaching and teacher professional development: A systematic review (2015–2024). Discover Education, 3(1), 15. https://doi.org/10.1016/j.discedu.2024.100015
Annotation
Summary:
This article presents a systematic review of research conducted from 2015 to 2024 on the role of artificial intelligence (AI) in teaching and teacher professional development. The authors examined a wide range of studies to identify key themes such as AI-driven personalized learning, intelligent tutoring systems, and data-informed teacher feedback. The review also addresses challenges including ethical considerations, limited teacher preparedness, and inequities in access to AI-enabled resources. Overall, the study highlights that while AI has significant potential in education, its success depends on thoughtful and intentional integration into pedagogy and teacher training.
Evaluation:
The article’s strength lies in its comprehensive and systematic analysis of a decade’s worth of research, which provides readers with a well-structured overview of how AI is being applied in educational settings. By comparing studies across multiple contexts, the authors offer a nuanced perspective on both the promise and the limitations of AI in education. However, a limitation of the study is its reliance on published literature, which may not capture innovative practices being piloted in schools or professional development programs that have not yet been formally studied. Still, the systematic approach ensures credibility and provides a strong foundation for understanding current trends.
Reflection:
This article is particularly relevant to my work as it connects directly to my interest in educational technology and the role of AI in supporting teaching and learning. In my own experience with higher education platforms such as Canvas, Engageli, and SimNet, I have seen how data-driven tools can inform teaching practice and enhance student engagement. The review underscores the importance of preparing educators to use AI not just as a tool for efficiency but as a means of improving equity and instructional quality. I can apply these insights in both my academic research and my teaching practice by focusing on how AI integration requires ongoing professional development and careful attention to ethical and access issues.
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