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Dr. Feifei Han
Australian Catholic University, Australia
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Dr. Feifei Han's research expertise lies in educational technology, learning analytics, and learning and teaching in higher education. She has over 100 peer-reviewed publications, including a single-authored book, 28 book chapters, 67 journal articles, and 21 conference proceedings. Attracting over 2,050 citations, her publications appear in high-quality educational technology journals, such as Computers & Education, The Internet & Higher Education, International Journal of Educational Technology in Higher Education, Journal of Computing in Higher Education, and Journal of Computer Assisted Learning. Her work has also been referenced by government agencies in different countries. She currently serves as a co-lead editor of Australasian Journal of Educational Technology. In a recent bibliometric analysis of studies in blended learning between 2013 and 2022, she is amongst the top four most prolific researchers and in the third place of the authors with the strongest citations in the field. |
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Assoc. Prof. Roslina Ibrahim
Universiti Teknologi Malaysia, Malaysia
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Roslina Ibrahim received the Ph.D. degree in information science from Universiti Kebangsaan Malaysia. She is currently an Associate Professor with the Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur. She is working on several research grants on the use of information technology in education, including games, augmented reality, and artificial intelligence. Her research interests include acceptance of artificial intelligence, information systems, educational games, and user experience. |
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Assoc. Prof. Patcharin Panjaburee
Khon Kaen University, Thailand
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Associate Professor Dr. Patcharin Panjaburee is an Associate Professor at the Faculty of Education, Khon Kaen University, Thailand. Her research focuses on digital learning design, including mobile and ubiquitous learning, digital game-based learning, and personalized e-learning systems. She has led multiple research projects funded by national and international grants on personalized learning, game-based learning, and AI-driven game development. In 2020, she received the Outstanding Research Award from Thailand's National Research Council. She has published in leading journals such as Computers & Education, Interactive Learning Environments, British Journal of Educational Technology, and Computers & Education: Artificial Intelligence. She serves on editorial boards for Computers & Education: AI, Journal of Computers in Education, and International Journal of Mobile Learning and Organisation. Currently, she is a committee member of the Digital Education and Learning Engineering Association, Thailand.
Speech Title: Artificial Intelligence in Self-Regulated Learning: Empowering the Future of Education Abstract: The rapid evolution of Artificial Intelligence (AI) is revolutionizing self-regulated learning (SRL), revealing new possibilities for personalized guidance, adaptive feedback, and cognitive scaffolding. As education shifts toward more autonomous and self-directed learning paradigms, AI emerges as a transformative force, enabling students to take control of their learning journeys. This talk explores how generative AI tools, such as ChatGPT, and intelligent learning platforms are redefining SRL by fostering autonomy, problem-solving, and metacognitive growth. Recent studies highlight AI's potential to enhance learning performance, computational thinking, and self-regulation skills. AI-driven personalized scaffolding has also been instrumental in bridging the gap between high and low self-regulated learners, ensuring equitable learning experiences. This talk offers forward-thinking insights for educators, researchers, and policymakers on AI's role in SRL, emphasizing its potential to elevate student engagement through interactive, real-time feedback, personalize learning pathways to meet diverse learner needs and empower struggling learners with targeted interventions for self-regulation. Beyond practical applications, this talk advances the theoretical landscape of AI-supported SRL, extending the understanding of cognitive scaffolding, metacognition, and human-AI collaboration while underscoring the need to design AI-human interaction models that amplify, rather than replace, essential self-regulatory processes in education. By navigating the challenges and possibilities of AI-integrated SRL, this talk proposes sustainable frameworks that ensure AI becomes a catalyst for lifelong, self-directed learning, empowering learners to increase learning performance in an ever-evolving digital world. |
Continuously updating...
Prof. Agnes Kukulska-Hulme
The Open University, UK
Prof. Anand Nayyar
Duy Tan University, Vietnam
Prof. Yi-Shun Wang
National Changhua University of Education
Dr. Lung Hsiang Wong
Nanyang Technological University, Singapore
Prof. Xinguo Yu
Central China Normal University, China
Prof. Dongsheng Zhang
South China Normal University, China
Assoc. Prof. Guoqing Zhao
Beijing Normal University, China
Assoc. Prof. Hassan Abuhassna
Sunway University, Malaysia
Dr. Ali Sorayyaei Azar
University of Malaya, Malaysia
Assoc. Prof. Ts. Dr. Aslina Baharum
Sunway University, Malaysia
Prof. Nee Nee Chan
UCSI University, Malaysia
Dr. Wen Huey Kan
Wawasan Open University, Malaysia
Dr. Rafidah Binti Abd Karim
Universiti Teknologi MARA, Malaysia
Dr. Michal Paluch
Cardinal Stefan Wyszynski University, Poland
Prof. Rustam Shadiev
Zhejiang University, China
Dr. Xiaomei Yan
Shanghai Jiao Tong University, China