Sivakorn Malakul
Biographic Data
| ID | 6770672 |
|---|---|
| NAME | Sivakorn Malakul |
| GIVEN NAMES | Sivakorn |
| FAMILY NAME | Malakul |
| SIGNATURE | MALAKUL S |
| AFFILIATIONS | Chulalongkorn University |
| ORCID | 0000-0003-1267-9850 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
AI competence domains and experience-based differences among science and technology teachers investigated using structural equation modeling
This study examined the structural relationships between domains of AI competence and age-adjusted differences based on computer science teaching experience among science and technology teachers. Grounded in Bandura’s Social Cognitive Theory, AI competence was conceptualized as a multidimensional configuration of interrelated domains relevant to instructional practice. A quantitative, nonexperimental, cross-sectional design was employed, with dat…
Developing talented students in robotics, AI, and coding with Work-Integrated Learning
Background and Context As automation and digitalization transform industries globally, educational systems must cultivate students with competencies in Robotics, Artificial Intelligence, and Coding (RAC) to drive technological innovation. This study focuses on talented secondary students as the unit of analysis, examining how integrated learning approaches can effectively develop RAC competencies within Thailand’s educational ecosystem through in…
Exploring Factors Influencing Teachers' Acceptance of AI Tools for Creating Animated Educational Videos With Pedagogical Agents
Thai Teachers'Perceptions of Integrating Generative AI in K-12 Education: Opportunities and Challenges
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Exploring Factors Influencing Teachers' Acceptance of AI Tools for Creating Animated Educational Videos With Pedagogical Agents
Thai Teachers'Perceptions of Integrating Generative AI in K-12 Education: Opportunities and Challenges
AI competence domains and experience-based differences among science and technology teachers investigated using structural equation modeling
This study examined the structural relationships between domains of AI competence and age-adjusted differences based on computer science teaching experience among science and technology teachers. Grounded in Bandura’s Social Cognitive Theory, AI competence was conceptualized as a multidimensional configuration of interrelated domains relevant to instructional practice. A quantitative, nonexperimental, cross-sectional design was employed, with dat…
Developing talented students in robotics, AI, and coding with Work-Integrated Learning
Background and Context As automation and digitalization transform industries globally, educational systems must cultivate students with competencies in Robotics, Artificial Intelligence, and Coding (RAC) to drive technological innovation. This study focuses on talented secondary students as the unit of analysis, examining how integrated learning approaches can effectively develop RAC competencies within Thailand’s educational ecosystem through in…
Computer Science (2 works) · Educational Games and Gamification (2 works) · Educational technology (2 works) · Mathematics education (2 works) · Multimedia (2 works) · Online Learning and Analytics (2 works) · Psychology (2 works) · Structural equation modeling (2 works) · Teaching and Learning Programming (2 works) · Artificial Intelligence (1 works)