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.
Researching Knowledge Construction Online 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.
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)
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.
