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

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

Overview

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.

Product Details

ISBN-13:	9781032349190
Publisher:	Taylor & Francis
Publication date:	04/18/2025
Pages:	328
Product dimensions:	7.00(w) x 10.00(h) x (d)

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.

Table of Contents

Part 1: Theoretical Foundations 1. Theoretical Foundations of Social Construction of Knowledge (SCK) and the Interaction Analysis Model (IAM) 2. A Review of the Interaction Analysis Model (IAM) Research Applications 3. Social Interaction and Knowledge Construction in Online Environments Part 2: Methods for Researching the Social Environment Online 4. Social Learning Analytic Methods (SLAM) for Examining Online Social Dynamics 5. Social Construction of Knowledge (SCK) Platforms, Scraping, and Methods 6. Analytics Tools Part 3: Social Environment Analysis Procedures 7. Lexical Foundations: Rooting Analysis in Theory 8. Sentiment Analysis 9. Cluster Analysis 10. Social Network Analysis (SNA) 11. Natural Language Processing 12. Classifications and Predictive Analytics of the Social Environment 13. Artificial Intelligence and Large Language Models Part 4: Applications 14. Social Construction of Knowledge and Social Action On #BlackLivesMatter 15. Social Network Centrality, Social Construction of Knowledge, and Nurse Practitioner Competency in Asynchronous Online Discussions 16. Large Language Models for Analyzing Social Construction of Knowledge using Local Artificial Intelligence Applications Part 5: Reconceptualized Interaction Analysis Model (IAM) 2.0 with Social Learning Analytic Methods (SLAM) and Artificial Intelligence (AI) 17. Interaction Analysis Model 2.0: Reconceptualization 18. Future Directions: Research and Practice with the Interaction Analysis Model 2.0 (IAM 2.0)