文献类型： 会议论文

第一作者： Laurent Brisson

作者： Laurent Brisson ¹ ; Cécile Bothorel ¹ ; Raphael Charbey ¹ ; Philippe Ruffieux ² ; Serge Garlatti ¹ ; Jean-Marie Gilliot ¹ ; Antoine Mallégol ¹ ;

作者机构： 1.IMT Atlantique, Lab-STICC UMR CNRS 6285, 29238 Brest, France

2.Usages du numérique et Didactique de l'informatique (MUNDI), Av. des Bains 21, 1014 Lausanne, VD, Switzerland

关键词： Temporal networks;Social interactions;Motifs;Graphlets;Learning analytics;Role detection

会议名称： International Conference on Complex Networks and Their Applications

主办单位：

页码： 507-518

摘要： There is a growing interest in how data generated in learning platforms, especially the interaction data, can be used to improve teaching and learning. Social network analysis and machine learning methods take advantage of network topology to detect relational patterns and model interaction behaviors. Specifically, small induced subgraphs called graphlets, provide an efficient topological description of the way each node is embedded in the meso-scale structure of a network. Here we propose to detect the roles occupied by the different participants, students and teachers, in the successive phases of courses modeled by a sequence of static snapshots. The detected positions, obtained thanks to graphlet enumeration combined with a clustering method, reveal the different roles observed in each snapshot. We also track the role changes through the overall sequence of snapshots. We apply our method to the Sqily platform and describe the mutual skill validation process. The detected roles, the transitions between roles and a overall visualization through Sankey diagrams help interpreting the course dynamics. We found that some roles act like necessary steps to engage students within an active exchange process with their classmates.

分类号： tp393-532