Project : MOdelling Didactic-based Active Learning Environment in Sciences Name : Acronym : Description :MODALES project is aimed at designing an adaptive learning system for probationary teachers, based on real practices. The course topic is about “the air as gas in its static and dynamic aspects: properties, theory and applications” for different categories of probationary teachers – called learners. In our framework, scenarios may change according to the following features: i) the category of learners having intra and inter category variability; ii) the available resources from different domains - physics, didactic and epistemology, history of science - which can be determined by teachers iii) distance or face-to-face activity according to learner needs and learning policy iv) the sharing of activities between teachers, learners and computers according to learner needs and learning policies. These features are key issues for adaptation policies in the learning system. The main issue is to design a generic scenario which can deal with the broadest range of learning situations (from a computer science viewpoint). The main contribution of the projet is an adaptive and context-aware model of scenarios based on an interdisciplinary approach (didactics, physics, epistemology and history of sciences, computer science and education), an associated authoring tool (MAT: Modales Authoring Tool) and a particular teacher community of practices (IBST: inquiry based science teaching). To ensure traceability, a co-design process is used to study of the different theories and their concepts. The co-design process enables us to establish relationships between a didactic theory, computer-based models, teacher practices and physics, epistemology and history of science (Guedj and Laubé 2006). It can be viewed as a swirl model having iterative loops which leads to cooperation between computer scientists, didacticians, physicists and expert teachers by means of repetitive interactions. Keywords : Date at the beginning : Date of the end : Person and institution in charge : Teaching level(s) : - higher educationFinancing : - financement régionalTopics : - Learning : inquiry learning - Teaching : pedagogical scenario - Teaching : didactic - Learning : personalization - Cognitive engineering and modelling : learner modeling - Technologies and ressources : learning environments - Technologies and ressources : ontologies - reasoning - agentPartnership with organisations : - Lab. Communications, Médiations, Organisations, Savoirs - Semantic Composition and Retrieval of Information, Picture and Services
