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

Name: Knowledge Co-Construction in Online Learning: Applying Social Learning Analytic Methods and Artificial Intelligence
Brand: Routledge
SKU: 9781032345918
Price: 14551.0 INR
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by Charlotte Nirmalani Gunawardena , Nick V. Flor , Damien M. Sánchez

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ISBN13: 9781032345918
Binding: Hardcover
Subject: N/A
Publisher: Routledge
Publisher Imprint: Routledge
Publication Date: April 8, 2025
Pages: 312
Original Price: GBP 171.99
Language: English
Edition: N/A
Item Weight: 768 grams
BISAC Subject(s): Distance, Open & Online Education

About The Book

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.

About The Author

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.

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