Designing and Testing the Novelty Analytic Framework for Collaborative Online Discourses in Knowledge-Building Communities

• In Event: Working With Context, Collaboration, Challenge, Connections, and Combination in Mixed Methods

Abstract

Idea novelty is crucial in advancing the community’s understanding to achieve breakthroughs in the learning topic that are usually conveyed in members’ knowledge building discourses. This study proposes a new novelty analytic framework and measurement tool to understand the characteristics and patterns of students' online discourse novelty. The paper aims a) to create an analytic framework to measure the novelty of students’ discussion for knowledge building discourse over time and b) to apply the framework to online resources data to examine the dynamics of idea generation and development patterns.

Authors

• Guangji Yuan, National Institute of Education - Nanyang Technological University

• Hyejin Park, University at Albany, SUNY

• Elie Chingyen Yu, University of Albany (SUNY)

• Jianwei Zhang, University at Albany - SUNY