Self-Regulated Learning

Zusatztext

This edited volume engages the field of Self-Regulated Learning (SRL) as a dynamic cognitive and behavioral paradigm for advancing education. Bringing together diverse scholarly perspectives, it seeks to enrich teaching and facilitate learning by promoting cognitive strategy instruction, enhancing pedagogical practices, and fostering the development of learners cognitive capacities and self-regulatory behaviors within academic contexts. SRL is an essential construct that supports the development and broad dissemination of 21st-century skills among learners at all academic levels. It enables students to master knowledge across diverse domains while cultivating both the cognitive and psychomotor competencies needed to apply their learning in practice, thereby promoting effective performance and success in everyday life. With this in mind, the present volume introduces eight works, whose nature, content, and outcomes align with two overarching themes, offering a concise view of the foundations, methodologies, and applications of SRL.               Personalization in SRL: seeks to understand, characterize, and assess the diverse cognitive, behavioral, and social attributes that shape how students learn, with the aim of tailoring SRL strategies and practices to facilitate knowledge acquisition and the development of skills necessary to achieve targeted competencies; and               Approaches in SRL: encompasses concise research across diverse academic levels, addressing key learning challenges, advancing meaningful models, and developing rigorous studies that employ well-founded methods and tools to foster engagement and assess their impact on learning processes and the development of SRL skills.   This volume presents recent work in education, teaching, and learning that captures a range of initiatives, perspectives, developments, outcomes, and experiences aimed at advancing the research, implementation, and practice of SRL in both classroom and online settings, with the ultimate goal of enhancing learners outcomes. Hence, it is hoped that this volume inspires researchers, practitioners, scholars, and postgraduate students to engage with this dynamic field, thereby empowering the development of learners intrinsic capacities to achieve their academic goals!

Autorenportrait

Alejandro Peña-Ayala is a fellow of the World Outreach Light to the Nations Ministries, and a professor at the National Polytechnic Institute of Mexico, as well as a member of the National Systems of Researchers, and the Mexican Academy of Sciences. He earned a Bachelors Degree in Informatics recognized as one of the best students in Mexico of his generation as well as a Masters Degree in Artificial Intelligence and a PhD in Computer Science, all with honors. He conducted his postdoctoral studies at Osaka University, was a Visiting Scientist at the Research Laboratory of Electronics of the Massachusetts Institute of Technology, and a Visiting Scholar in the Department of Psychology at Stanford University. His research interests focus on Artificial Intelligence and Data Science in Education, Cognition, and Learning, a field where he has led dozens of research and academic projects. He has secured three patents, edited eight Springer books, spoken at various conferences across five continents, and published dozens of journal and proceedings articles with publishers such as: Elsevier, Springer, and Willey.

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