From analysis to training: Recycling interaction data into learning processes

Abstract

Analysis of learner interactions with CALL systems has become an imperative aspect of CALL research, with recommendations to focus the research not solely on the design of the system but also, and most importantly, on the learner(s) and the learning task(s). Indeed, while collecting users’ data is an essential step to improve the engineering of a system under development, analysing interactions data may also be very pertinent to improving learning processes. Adopting this stand, this article discusses methods used to (1) capture behaviours of learners interacting with web-based tools during specific interventions, (2) measure systems’ effectiveness, and (3) recycle these data into future learning processes.