Applying Graph Theory to Examine the Dynamics of Student Discussions in Small-Group Learning.

ABSTRACT: Group work in science, technology, engineering, and mathematics courses is an effective means of improving student outcomes, and many different factors can influence the dynamics of student discussions and, ultimately, the success of collaboration. The substance and dynamics of group discussions are commonly examined using qualitative methods such as discourse analysis. To complement existing work in the literature, we developed a quantitative methodology that uses graph theory to map the progression of talk-turns of discussions within a group. We observed groups of students working with peer facilitators to solve problems in biological sciences, with three iterations of data collection and two major refinements of graph theory calculations. Results include general behaviors based on the t

SUBMITTER: Chai A 

PROVIDER: S-EPMC6755212 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature