Retrieving Objective Indicators from Student Logs in Virtual Worlds

Abstract

Virtual Worlds (VWs) have been widely used to support learning processes. One main advantage is providing valuable data on student behaviour and interaction. Nonetheless, most platforms provide only limited access to student logs. Moreover, accessing logs usually requires technical skills most teachers do not have. In this context, the authors present a Domain Specific Language (DSL) designed to allow teachers to generate queries for retrieving valuable log information with a view to obtain evidence on learner behaviour and interaction; hence, to aid in the analysis of in-world behaviour and learning processes. Since this data is automatically retrieved, the teacher can easily run new queries to refine indicators or contrast hypotheses. The authors describe a case study carried out with undergraduate German language students using a VW-based video game. The results provide a set of indicators for analysing individual and group behaviour measuring student competence to communicate in the target language.