Adaptive user support in educational environments: A Bayesian Network approach
This work addresses the need for personalized assistance in educational software for students, but it appears incremental as it applies existing Bayesian techniques to a specific domain.
The paper tackled the problem of providing adaptive user support in educational environments by designing a system using Bayesian Belief Networks to model student interactions and offer tailored help, with preliminary evaluation showing promising performance.
This paper is concerned with the design and implementation of an innovative user support system in the frame of an open educational environment. The environment adapted is ModelsCreator (MC), an educational system supporting learning through modelling activities. The pupils typical interaction with the system was modelled us-ing Bayesian Belief Networks (BBN). This model has been used in ModelsCreator to build an adaptive help system providing the most useful guidelines according to the current state of interaction. A brief description of the system and an overview of application of Bayesian techniques to educational systems is presented together with discussion about the process of building of the Bayesian Network derived from actual student interaction data. A preliminary evaluation of the developed prototype indicates that the proposed approach produces systems with promising performance.