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.
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.
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.
Inhaltsangabe
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)
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)
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