Knowledge Co-Construction in Online Learning: Applying Social Learning Analytic Methods and Artificial...

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Charlotte Nirmalani Gunawardena Nick V. Flor

Knowledge Co-Construction in Online Learning

Applying Social Learning Analytic Methods and Artificial Intelligence

Charlotte Nirmalani Gunawardena, Nick V. Flor, Damien M. Sánchez

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English

Routledge
09 April 2025

Moral & social purpose of education; Educational psychology; Higher & further education, tertiary education; Open learning, home learning, distance education; Teaching of a specific subject

Knowledge Co-Construction in Online Learning is a comprehensive, foundational resource that explores the study of social construction of knowledge through platforms, social dynamics, and other aspects of today’s technology-enhanced education. The interactive spaces, from formal computer-supported collaborative learning settings to informal social media-integrative environments, that comprise asynchronous online learning offer a rich source of data for analyzing teaching and learning. How, then, can researchers and designers in educational technology, instructional design, the learning sciences, and beyond most effectively analyze the content and data generated by these complex co-creations of knowledge?

Grounded in sociocultural and social constructivist theories of learning and driven by the globally renowned Interaction Analysis Model, this book applies statistical and computational methods to study the group interactions and social networks that yield newly constructed knowledge during virtual learning experiences. Its unique Social Learning Analytic Methods enhance the analysis of social dynamics that support knowledge construction so often missing from mainstream learning analytics. Holistic and cyclical in its approach to online learning experiences, this essential volume written for novice and experienced researchers transcends the field’s research paradigm conflicts, blends qualitative and quantitative approaches with new digital media tools, and exemplifies how research questions and designs can incorporate and automate evolving forms of inquiry.

By: Charlotte Nirmalani Gunawardena, Nick V. Flor, Damien M. Sánchez
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9781032345918
ISBN 10: 1032345918
Pages: 312
Publication Date: 09 April 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Forthcoming

Charlotte Nirmalani Gunawardena is Distinguished Professor Emerita of Online Education and Instructional Technology in the Organization, Information, and Learning Sciences Program at the University of New Mexico, USA. Nick V. Flor is Associate Professor of Information Systems in the Anderson School of Management at University of New Mexico, USA. Damien M. Sánchez is the owner of Puerta Abierta Performance Consulting, Associate with the Return on Investment Institute, and Adjunct Faculty in the Organization, Information, and Learning Sciences Program at the University of New Mexico, USA.