Using big data techniques for measuring productive friction in mass collaboration online environments

The advent of the social web brought with it challenges and opportunities for research on learning and knowledge construction. Using the online-encyclopedia Wikipedia as an example, we discuss several methods that can be applied to analyze the dynamic nature of knowledge-related processes in mass collaboration environments. These methods can help in the analysis of the interactions between the two levels that are relevant in computer-supported collaborative learning (CSCL) research: The individual level of learners and the collective level of the group or community. In line with constructivist theories of learning, we argue that the development of knowledge on both levels is triggered by productive friction, that is, the prolific resolution of socio-cognitive conflicts. By describing three prototypical methods that have been used in previous Wikipedia research, we review how these techniques can be used to examine the dynamics on both levels and analyze how these dynamics can be predicted by the amount of productive friction. We illustrate how these studies make use of text classifiers, social network analysis, and cluster analysis in order to operationalize the theoretical concepts. We conclude by discussing implications for the analysis of dynamic knowledge processes from a learning sciences perspective.     

Evaluating peer learning and assessment in online collaborative learning environments

Transformation of learning and teaching in higher education now offers greater educational equality through enhanced access and collaboration within the framework of lifelong learning in the digital age. This study aims to evaluate online peer learning and assessment in the collaborative learning process in higher education practices. The study also investigates the impact of online peer learning on the development of skills within collaborative learning through the use of volunteered responses from learners concerning their experiences with and perceptions of online learning. Therefore, a quantitative approach is applied through the administration of a survey with 32 items that is distributed to 715 participants. According to the objective of the study, a set of inferential statistical analyses are performed. The theoretical framework of this study is the CHAT (cultural historical activity theory) which reconstructs the knowledge of learners through the application of the Adobe Connect program to demonstrate how learners can be collaborative and social with their peers in an online context. The results revealed that the collaborative online peer learning process in higher education encourages critical reflection and self-assessment. The study contributes to the understanding of the value of learner satisfaction in online collaborative learning environments through the experiences of learners.