Overview
- Diverse learning contexts: K-12, higher education, and informal training
- It covers multiple modalities of learning: online, hybrid, and traditional
- It incorporates timely analyses to explore how research into SEL can support learners with the influence of COVID-19
Part of the book series: Advances in Analytics for Learning and Teaching (AALT)
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Table of contents (15 chapters)
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Front Matter
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Key SEL Attributes
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Front Matter
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Applications in K-12
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Front Matter
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Applications in Adult and Professional Education
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Front Matter
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Back Matter
Keywords
About this book
Novel insights provided in the book span across diverse types of learning contexts and learner populations. Specifically, the book addresses relevant and emerging theories and frameworks (in various disciplines such as education, psychology, or workforce) that inform assessments of SEL skills and competencies. In so doing, the book maps the landscape of the novel learning analytics methods and approaches, along with their application in the SEL assessment for K-12 learners as well as adult learners. Critical to the notion of the SEL assessment are data sources. In that sense, the book outlines where and how data related to learners' 21st century skills and competencies can be measured and collected. Linking theory to data, the book further discusses tools and methods that are being used to operationalize SEL and link relevant skills and competencies with cognitive assessment. Finally, the book addresses aspects of generalizability and applicability, showing promising approaches for translating research findings into actionable insights that would inform various stakeholders (e.g., learners, instructors, administrators, policy makers).
Editors and Affiliations
About the editors
Dr Srećko Joksimović is a Senior Lecturer in Data Science at the Education Futures, University of South Australia. His research is centered around augmenting abilities of individuals to solve complex problems in collaborative settings. As such, Srecko's research agenda is focused on establishing a conceptual framework for understanding the development of the human capacities in sensemaking when augmented with technology. His research investigates the development of a collaborative, technology-literate, AI-ready workforce and broadening the understanding of how different factors (e.g., social, affective, or cognitive) influence the capabilities of groups of workers and learners.
Maria Ofelia Z. San Pedro, PhD is a Senior Research Scientist in the Applied Research group of ACT, Inc. Dr. San Pedro holds a MS in Computer Science from Ateneo de Manila University and a PhD in Cognitive Science in Education from Teachers College, Columbia University, and specializes in learning experiences, assessment and instruction, and analytics within online learning environments. She has over ten years of experience in educational data science research that uses learning technologies and big data (i.e., in education) to drive insights and develop solutions, and three years of experience in software engineering providing usability solutions that support and improve business processes.
Jason D. Way, PhD, is a Senior Research Psychologist in the Center for Social, Emotional, and Academic Learning at ACT, Inc. He holds a PhD in Industrial/Organizational Psychology from the University of South Florida. His research focuses on the assessment and development of the social and emotional skills that lead to success in education and work contexts.
John Whitmer, EdD is an educational data science leader with over a decade of experience conducting research and development using advanced algorithmic approaches. He is currently a Senior Fellow to the Institute for Education Statistics (IES) through the Federation for American Scientists. Prior to this role, John led teams of data scientists, research scientists, and machine learning engineers in large educational assessment companies (ACTNext), edTech providers (Blackboard), and educational institutions (California State University & California Community Colleges).
Bibliographic Information
Book Title: Social and Emotional Learning and Complex Skills Assessment
Book Subtitle: An Inclusive Learning Analytics Perspective
Editors: Yuan 'Elle' Wang, Srećko Joksimović, Maria Ofelia Z. San Pedro, Jason D. Way, John Whitmer
Series Title: Advances in Analytics for Learning and Teaching
DOI: https://doi.org/10.1007/978-3-031-06333-6
Publisher: Springer Cham
eBook Packages: Education, Education (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-06332-9Published: 25 August 2022
Softcover ISBN: 978-3-031-06335-0Published: 26 August 2023
eBook ISBN: 978-3-031-06333-6Published: 24 August 2022
Series ISSN: 2662-2122
Series E-ISSN: 2662-2130
Edition Number: 1
Number of Pages: XVI, 335
Number of Illustrations: 17 b/w illustrations, 38 illustrations in colour
Topics: Education, general, Data Mining and Knowledge Discovery, Computers and Education