TY  - JOUR
AB  - 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.
VL  - 5
IS  - 3
SN  - 1741-5659
DO  - 10.1108/17415650810908267
UR  - https://doi.org/10.1108/17415650810908267
AU  - Fournier Jean‐Pierre
AU  - Sansonnet Jean‐Paul
PY  - 2008
Y1  - 2008/01/01
TI  - ActiveTutor: towards more adaptive features in an e‐learning framework
T2  - Interactive Technology and Smart Education
PB  - Emerald Group Publishing Limited
SP  - 189
EP  - 204
Y2  - 2024/04/16
ER  -