An E-learning model based on dynamic qualitative constraint networks

This paper presents a new approach to model the core part of an e-learning process. The formal modeling we use relies on Allen's Interval Algebra to build the qualitative constraints networks. With the corresponding intervals, we could represent the conditional sequence of activities the learner is expected to conduct in order to complete a particular course. We propose temporal representation of learning activities and we build the constraints satisfaction problem network according to the activation constraints of learning activities and the activation conditions. The algorithm demonstrates the consistency of the corresponding network and provides the learners with learning scenarios they may take during a particular material learning process.