The design of recommender systems is an ongoing research area where several researchers have devised means of incorporating intelligence in web content systems to be able to provide recommendations to learners on the basis of their learning preferences i.e. based on their learning profiles. The paper discusses the design of such a system based mapped to a content ontology and learner profiles c...

This paper describes the process by which we are constructing an intelligent tutoring system (ERST) designed to improve learners’ external representation (ER) selection accuracy on a range of database query tasks. This paper describes how ERST’s student model is being constructed it is a Bayesian network seeded with data from experimental studies. The studies examined the effects of students’ b...

Increasingly, learning environments are opening the learner model to the user it represents. This paper describes a study in which students were able to create their own presentations of their learner model. We examine the nature of the learner model views created, and the degree of correspondence with the domain. Our results suggest learners have different preferences for the type of view they...

in the present study, an attempt is made to investigate the frequency and motives of using avoidance strategies by a group of iranian intermediate language learners through their own journal writing. the effect of gender on the use of avoidance strategies is to be investigated as well. thirty nine female and twenty three male learners enrolled in an english language spoken course in a private e...