Working Memory as a Basis for Adaptive learning Technology – WoMBAT

Video imposes constraints on learning, and a lot of studies provide video design principles to optimize learning. However, while a major constraint is the transitory nature of the information, which strongly solicits working memory (WM), very few studies have been conducted to understand learners’ needs depending on their WM capacity (WMC). The aim of the WoMBAT project is to identify adaptations beneficial to learners depending on their WMC, in order to design a learning environment that provides relevant adaptations according to WMC and/or more dynamically to cognitive load. Indeed, low-WMC learners are more prone to cognitive overload. Three sub-goals are sought in the WoMBAT project: 1) to study les effects of different types and levels of adaptation on learning depending on WMC; 2) to evaluate cognitive load on the fly during learning et compare the effectiveness of adaptations depending on WMC with the effectiveness of adaptations depending on cognitive load; and 3) to test the effectiveness and acceptability of such an adaptive environment in ecological context. The WoMBAT project will contribute, in psychology and educational science, to deepening scientific knowledge on the role of WMC and relevant adaptations during video learning, and in informatics and computer science, to develop algorithms for recommendations that consider cMDT and cognitive load in real time. The combination and complementarity of these two fields of research will enable the development of an adaptive pedagogical environment to personalize learning situations.