Ching Sing Chai

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd...

Modeling the structural relationship among primary students’ motivation to learn artificial intelligence

Pei-Yi Lin, Ching Sing Chai, Morris Siu-Yung Jong (2021)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The recent advances in artificial intelligence (AI) present both challenges and opportunities for educational practitioners. A new AI curriculum has been developed and piloted in many primary schools in Beijing, China. The present study had two aims: (1) to test the factor structure of students’ motivation to learn AI and (2) to examine possible gender differences in students’ motivation to learn AI. This online questionnaire–based research recruited 420 primary students from the piloting schools. Structural equation modeling was employed to test a hypothesized model comprising six motivational factors and strategies: (1) intrinsic motivation, (2) career motivation, (3) attention, (4)...

Developing and validating measures for AI literacy tests: From self-reported to objective measures

Thomas K.F. Chiu, Yifan Chen, King Woon Yau (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The majority of AI literacy studies have designed and developed self-reported questionnaires to assess AI learning and understanding. These studies assessed students' perceived AI capability rather than AI literacy because self-perceptions are seldom an accurate account of true measures. International assessment programs that use objective measures to assess science, mathematical, digital, and computational literacy back up this argument. Furthermore, because AI education research is still in its infancy, the current definition of AI literacy in the literature may not meet the needs of young students. Therefore, this study aims to develop and validate an AI literacy test for school students...

Epistemic network analysis of in-service teachers’ competency to teach artificial intelligence for secondary education

King Woon Yau, Tianle Dong, Ching Sing Chai (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Teachers play a vital role in driving successful artificial intelligence (AI) education. Research on teachers' competency to teach AI (TCAI) is still limited. This study investigated the progression of in-service teachers' AI competency with the Technological Pedagogical Content Knowledge (TPACK) framework using Epistemic Network Analysis (ENA). Seven secondary school teachers who engaged in an AI education project were interviewed over a three-year period of curriculum development and implementation. The differences in ENA patterns in various stages indicated an evolution of teachers’ TPACK over the years. The ENA results also revealed different patterns between experienced and less...

Promoting pre-service music teachers’ TPACK with generative AI: an intervention through designing with AI

Haiying Li, Ching Sing Chai, Xinlei Wang (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Generative artificial intelligence (GenAI) presents transformative opportunities for education, yet its integration into music teacher preparation remains underdeveloped. Two critical gaps exist: (1) scant empirical studies on how pre-service music teachers can leverage GenAI to develop their expertise; and (2) the potential of designing with AI to develop technological pedagogical content knowledge (TPACK) in music education is unexplored, despite evidence of the effectiveness of learning by design in other disciplines. This study implemented a six-week designing with AI intervention grounded in TPACK framework, engaging 59 pre-service music teachers in collaborative GenAI-assisted lesson...

Pedagogy first, technology second: Cross-level relationships between teacher professional knowledge and student learning in artificial intelligence (AI) education

Weipeng Shen, Ching Sing Chai, Thomas K.F. Chiu (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

For current K-12 AI education, understanding how teacher professional knowledge influences student learning is essential. This study employed social cognitive theory to conceptualize teachers' instructional practice and conducted a multilevel structural equation model analysis to examine the cross-level effects of teacher AI knowledge (TAIK) and pedagogical AI knowledge (TPAIK) on student AI knowledge (SAIK), perceptions of AI for social good (SAISG), and behavioral intention to learn AI (SBIAI). Data from 46 secondary school teachers and 2832 students revealed intricate mechanisms. TAIK alone was insufficient and could slightly diminish SAISG without TPAIK. Instead, TPAIK played a...