AmI-RIA: Real-Time Teacher Assistance Tool for an Ambient Intelligence Classroom

摘要

This paper discusses a learner-centric approach towards supporting instructors on improving the learning process in ambient educational environments. The proposed system introduces an intelligent multi-agent infrastructure that monitors unobtrusively the students' activities and notifies the teacher, in real-time, about potential learning weaknesses and pitfalls that need to be addressed. For that to be achieved several applications have been developed: (i) a real-time classroom activity visualizer, (ii) a behavioral reasoner that aims to identify common behaviors by analyzing classroom statistics records, and (iii) various mini-tools like the classroom attendance record, the schedule manager, etc. Following the system's description, findings of the preliminary expert-based evaluation are presented and future extensions are proposed.