This paper describes the design of the learner modelling component of the LEACTIVEMATH system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-...

This paper presents a novel recommendation methodology for learners who are doing tasks in ubiquitous learning environments. The main concept is to deal with a learning task as a set of real objects and to orient the recommendation methodology towards these objects. These objects can be detected using ubiquitous technologies. An intelligent agent can propose diverse recommendations for the lear...

This paper describes the design of the learner modelling component of the LEACTIVEMATH system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-...

This paper describes the design of the learner modelling component of the LEACTIVEMATH system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-...

This paper describes the design of the learner modelling component of the LEACTIVEMATH system, which was conceived to integrate modelling of learners’ competencies in a subject domain, motivational and affective dispositions and meta-cognition. This goal has been achieved by organising learner models as stacks, with the subject domain as ground layer and competency, motivation, affect and meta-...

MacWhinney is to be commended for reopening questions about the logical problem of language acquisition in the light of new data and models. Unfortunately his discussion is marred by technical errors, false dichotomies, and inadequate attention to detail. The ‘logical problem of language acquisition’ (Baker & McCarthy, 1981; Pinker, 1979, 1989) is not the belief that ‘the input to the learner i...

There are many methods and techniques which have been promoted to develop adaptive hypermedia systems [1]. Our model approach [2], generating adaptive courses based on learner’s profile which learner’s includes background, skills, style...etc. One of important steps in our model is to generate learning path adaptive for each learner. In this paper, we promote an algorithm based on shortest path...

This paper discusses a data-driven learning (DDL) tool, which consists of a learner corpus for L2 learners of German. The learner corpus, in addition to submissions from ongoing current users, has been constructed from millions of submissions from a variety of activity types of approximately 5000 learners who used the E-Tutor CALL system over a period of five years. By following a cyclical proc...

This paper considers learner misconceptions information which is presented to the learner in an open learner model. We suggest that specific information about misconceptions may be of benefit to the learner, to help them reflect on their knowledge and understanding. We investigate acceptance of their misconceptions presented as animations and step-by-step text descriptions by two groups of user...

In English, the distinction between belief verbs, such as think, and desire verbs, such as want, is tracked by the tense of those verbs’ subordinate clauses. This has led some authors within the syntactic bootstrapping literature to propose that subordinate clause tense is an integral part of the acquisition of belief and desire predicates. This proposal is problematic since the correlation bet...