Learning analytics (LA) has emerged as a field that offers promising new ways to support failing or weaker students, prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date, available research suggests that understanding language learner behaviour could provide valuable insights into task design for instructors and materials designers, as well as help students with effective learning strategies and personalised learning pathways. This paper first discusses previous research in the field of language learning and teaching based on learner tracking and the specific affordances of LA for CALL, as well as its inherent limitations and challenges. The second part of the paper analyses data arising from the European Commission (EC) funded VITAL project that adopted a bottom-up pedagogical approach to LA and implemented learner activity tracking in different blended or distance learning settings.Referring to data arising from 285 undergraduate students on a Business French course at Hasselt University which used a flipped classroom design, statistical and process-mining techniques were applied to map and visualise actual uses of online learning resources over the course of one semester.Results suggested that most students planned their self-study sessions in accordance with the flipped classroom design, both in terms of their timing of online activity and selection of contents. Other metrics measuring active online engagement -a crucial component of

No abstract

Les professionnels sont confrontés de plus en plus à des besoins langagiers. Mais surtout dans le monde très vaste et très varié des P. M. E.-P. M. I., on ne dispose que de très peu de temps et souvent de budgets réduits. Qui plus est, on exige une garantie de rendement ! Une panacée ? La meilleure connaissance possible des quatre composantes de l’apprentissage : 1) Un diagnostic linguistique détaillé de l’apprenant. 2) L’inventaire le plus précis possible de ses besoins langagiers (= objectifs de l’apprentissage). 3) Une excellente connaissance de son profil d’apprentissage. 4) Une sélection sévère des unités à apprendre. A partir de tous ces savoirs, des modules multimédias d’auto-apprentissage sont possibles.