ActiveTutor: towards more adaptive features in an e‐learning framework
Jean‐Pierre Fournier, Jean‐Paul Sansonnet · Interactive Technology and Smart Education · 2008
Purpose This paper aims to sketch the emerging notion of auto‐adaptive software when applied to e‐learning software. Design/methodology/approach The study and the implementation of the auto‐adaptive architecture are based on the operational framework “ActiveTutor” that is used for teaching the topic of computer science programming in first‐grade university courses. Findings The paper describes an adaptive heuristic dedicated to the display of knowledge entities which is based on the dynamic balancing of four behavioral criteria for the low‐level agents (cooperation, pedagogy, audacity, and sensibility). Practical implications The heuristic may be used in all multi‐agent systems where load balancing problems appear and where an auto‐adaptive behavior is important.Originality/value–The paper presents an auto‐adaptive algorithm.