Preparing educators for the AI-enhanced future: Insights from a teacher professional development for K-12 education in Singapore

The integration of Artificial Intelligence (AI) in education has underscored the urgent need to equip educators with essential AI literacy and related competencies. This paper highlights the critical importance of advancing research on the development of teachers' AI literacy, particularly through targeted professional development programs. To address this need, the study piloted a training program involving 19 mid-career teachers in Singapore. Over the course of six weeks, participants engaged in an intensive 18-hour program designed to enhance their ability to integrate AI into educational practices, with a strong emphasis on ethical considerations. Mixed methods were employed. Data collection included pre-and post- intelligent Technological Pedagogical Content Knowledge (TPACK) surveys, teachers’ perceptions on AI, in-class group discussions, and post-individual written assignments. Data analyses included content analysis and quantitative data analysis. The results showed a significant enhancement in i-TPACK, accompanied by a shift in their overall perceptions of AI. The teachers not only acquired a good understanding of ethical frameworks but also demonstrated adept application in envisioning innovative AI in teaching, schools, and assessment. They formulated tailored action plans for implementing AI in their respective schools. Furthermore, the study employed a novel analytical matrix based on the Aristotelian tripartite division of knowledge—episteme, techne, and phronesis—to compare action plans between teachers with higher and lower perceived i-TPACK levels, focusing on AI’s application in teaching, schools, and assessment. This study contributes valuable insights into teacher professional development concerning AI in education and informs the implementation of AI in teaching practices.

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Publication Details

Journal
Research and Practice in Technology Enhanced Learning
Published
2026-02-03
DOI
https://doi.org/10.58459/rptel.2026.21041
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00

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article

Preparing educators for the AI-enhanced future: Insights from a teacher professional development for K-12 education in Singapore

Johanna Velander, Marcelo Milrad, Chee Kit Looi, Dan Sun et al.
Research and Practice in Technology Enhanced Learning
Teaching and Learning Programming
article

Preparing educators for the AI-enhanced future: Insights from a teacher professional development for K-12 education in Singapore

Johanna Velander, Marcelo Milrad, Chee Kit Looi, Dan Sun, YIN YANG
article en

Abstract

The integration of Artificial Intelligence (AI) in education has underscored the urgent need to equip educators with essential AI literacy and related competencies. This paper highlights the critical importance of advancing research on the development of teachers' AI literacy, particularly through targeted professional development programs. To address this need, the study piloted a training program involving 19 mid-career teachers in Singapore. Over the course of six weeks, participants engaged in an intensive 18-hour program designed to enhance their ability to integrate AI into educational practices, with a strong emphasis on ethical considerations. Mixed methods were employed. Data collection included pre-and post- intelligent Technological Pedagogical Content Knowledge (TPACK) surveys, teachers’ perceptions on AI, in-class group discussions, and post-individual written assignments. Data analyses included content analysis and quantitative data analysis. The results showed a significant enhancement in i-TPACK, accompanied by a shift in their overall perceptions of AI. The teachers not only acquired a good understanding of ethical frameworks but also demonstrated adept application in envisioning innovative AI in teaching, schools, and assessment. They formulated tailored action plans for implementing AI in their respective schools. Furthermore, the study employed a novel analytical matrix based on the Aristotelian tripartite division of knowledge—episteme, techne, and phronesis—to compare action plans between teachers with higher and lower perceived i-TPACK levels, focusing on AI’s application in teaching, schools, and assessment. This study contributes valuable insights into teacher professional development concerning AI in education and informs the implementation of AI in teaching practices.

Research and Practice in Technology Enhanced LearningVol. 21
Linnaeus University (SE), Education University of Hong Kong (HK)
Nanyang Technological University, National Institute of Education, Nanyang Technological University
Quality Education
Openalex Percentile: Top 75%
Teaching and Learning Programming
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