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  • Thomas K.F. Chiu

Bibliografía: Thomas K.F. Chiu

Nº de publicaciones: 10
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Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
Thomas K.F. Chiu, Qi Xia, Xinyan Zhou (2023)
Computers & Education: Artificial Intelligence
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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...

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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)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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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...

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Personality traits for self-regulated learning with generative artificial intelligence: The case of ChatGPT
Xiaojing Weng, Qi Xia, Zubair Ahmad (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Personality traits and educational technology may affect how well students utilise their abilities and strategies to achieve their learning objectives and potential. As generative artificial intelligence (GenAI) is creating new learning experiences, understanding the impact of five representative personality traits on students' self-regulated learning (SRL) while learning with GenAI tools can help to predict which personality traits indicate better self-regulation when learning with this innovative educational technology. Such a prediction can help educators to design effective learning activities by providing educational experiences that cater to students' different personality traits for...

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How ChatGPT impacts student engagement from a systematic review and meta-analysis study
Yuk Mui Elly Heung, Thomas K.F. Chiu (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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Generative artificial intelligence, such as ChatGPT, has been increasingly integrated into education to change student learning experience. Current empirical studies have mixed results on how ChatGPT impacts student behavioral, cognitive, and emotional engagement. This systematic literature review and meta-analysis explores whether and how ChatGPT impacts student behavioral, cognitive, and emotional engagement. We used the PRISMA method to select, analyze, and report the results. We screened 766 articles from four databases and identified 17 empirical studies with 1735 students for analysis. We compared the effect on student engagement between ChatGPT-based and non-ChatGPT learning. We...

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The role of learners’ competencies in artificial intelligence education
Ismaila Temitayo Sanusi, Sunday Adewale Olaleye, Friday Joseph Agbo (2022)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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As society deals with the advances and disruptions owing to artificial intelligence, children must understand how it works. Especially that children grow up with these technologies will help them develop into informed citizens and better understand the world around them. While artificial intelligence education has been considered relevant, there is a growing global trend to teach artificial intelligence across K-12 levels. This development has necessitated designing and implementing artificial intelligence curriculum and related resources in schools. Notwithstanding that the developed curriculum may be adopted in another context, unique needs exist that suggest contextual and cultural...

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A systematic review and meta-analysis of the effectiveness of Generative Artificial Intelligence (GenAI) on students’ motivation and engagement
Qi Xia, Weijia Li, Yiming Yang (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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The rapid development of generative artificial intelligence (GenAI) technologies has revolutionized higher education, enhancing personalized learning and teaching practices. This study conducts a systematic review and meta-analysis to investigate the effects of GenAI on university students' motivation and engagement (cognitive, behavioural, emotional, and agency). By synthesizing experimental studies and applying association rule mining, the study (i) identifies significant positive impacts of GenAI on students' motivation and engagement across diverse educational settings. (ii) key moderating variables, such as subject category, learning strategy, and context of GenAI usage, are shown to...

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Future research recommendations for transforming higher education with generative AI
Thomas K.F. Chiu (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Higher education is crucial for producing ethical citizens and professionals globally. The introduction of generative AI (GenAI), such as ChatGPT, has posed opportunities and challenges to the traditional model of education. However, the current conversations primarily focus on policy development and assessment, with limited research on the future of higher education. GenAI's impact on learning outcomes, pedagogy, and assessment is crucial for reforming and advancing the workforce. This qualitative study aims to investigate student perspectives on GenAI's impact on higher education. The study uses an initial conceptual framework driven by a systematic literature review to investigate the...

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Epistemic network analysis of in-service teachers’ competency to teach artificial intelligence for secondary education
King Woon Yau, Tianle Dong, Ching Sing Chai (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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Developing and validating measures for AI literacy tests: From self-reported to objective measures
Thomas K.F. Chiu, Yifan Chen, King Woon Yau (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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Instructional design and learning outcomes of intelligent computer assisted language learning: Systematic review in the field
Xiaojing Weng, Thomas K.F. Chiu (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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Research on Artificial Intelligence (AI) in language education becomes more popular. This revolutionary technology is regarded as a promising tool to assist language learning environments by empowering automatic feedback, intelligent tutoring, and personalization. While designing Intelligent Computer Assisted Language Learning (ICALL) environments, educators have followed the First Principles of Instruction (FPI), including problem-centered, activation, demonstration, application,...

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