معرفی
Faisal Channa is a Doctoral Researcher at the Department of Teacher Education, University of Jyväskylä, within the Faculty of Education and Psychology. His research focuses on collaborative learning, process mining methodologies, and the integration of AI in educational practices. He has contributed to studies on regulatory processes in group dynamics, human-AI collaboration in education, and scaffolding self-regulated learning strategies. Channa’s work bridges educational theory with technological innovation, addressing future challenges in pedagogical practices.
Education: Doctoral Researcher at University of Jyväskylä.
Research Interests: Channa investigates how collaborative learning environments can be enhanced through process mining to analyze regulatory strategies. He explores AI’s role in education, particularly in fostering adaptive learning systems and improving metacognitive skills through diagramming and self-assessment techniques. His work emphasizes practical applications of technology in educational frameworks.
Publications: His recent work includes studies on group regulation strategies, challenges in collaborative learning, and the future of human-AI educational partnerships. These publications blend quantitative methodologies with qualitative insights into learning dynamics.
Grants & Projects: Channa is part of the EDUCA Flagship, a multidisciplinary initiative addressing future challenges in education. This project focuses on preparing learners for a rapidly evolving world through innovative educational approaches.
Labs/Teams: Active contributor to the EDUCA Flagship at the Department of Teacher Education, collaborating with scholars like Piia Näykki and Päivi Häkkinen.
