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Thomas K. F. Chiu; Murat Çoban; Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale – Educational Technology Research and Development, 2025
Nurturing student artificial intelligence (AI) competency is crucial in the future of K-12 education. Students with strong AI competency should be able to ethically, safely, healthily, and productively integrate AI into their learning. Research on student AI competency is still in its infancy, primarily focusing on theoretical and professional…
Descriptors: Artificial Intelligence, Digital Literacy, Competence, Self Efficacy
Hsueh, Sung-Lin; Kuo, Chih-Hua – EURASIA Journal of Mathematics, Science & Technology Education, 2016
To assist learners in obtaining professional abilities, meet social demand for talent, and achieve favorable educational outcomes, academic courses generally have unique syllabuses, learning goals, and teaching purposes according to their characteristics and specialized knowledge and skills. Furthermore, it could help the students of Industrial…
Descriptors: Interdisciplinary Approach, College Curriculum, Industrial Arts, Design
Mohamad, Syamsul Nor Azlan; Embi, Mohamad Amin; Nordin, Norazah – International Education Studies, 2015
The present article introduces the Fuzzy Delphi method results obtained in the study on determining e-Portfolio elements in learning process for art and design context. This method bases on qualified experts that assure the validity of the collected information. In particular, the confirmation of elements is based on experts' opinion and…
Descriptors: Portfolio Assessment, Portfolios (Background Materials), Electronic Publishing, Learning Processes

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