Qualitative Reasoning (QR) formalisms provide ontological primitives for capturing conceptual knowledge. Recently QR-based diagrammatic tools are being developed to support learners in creating concept maps as means to acquire such knowledge. However, QR formalisms are complex which hampers their usability. While other approaches address this by simplifying the formalism they use, we seek the s...

This paper explores open social learner modeling (OSLM) – a social extension of open learner modeling (OLM). A specific implementation of this approach is presented, by which learners’ self-direction and self-determination in a social elearning context could be potentially promoted. The proposed new approach, multifaceted-OSLM, allows, unlike in previous work, to seamlessly and adaptively embed...

Nowadays, instructional technologies are the enabler for educators to have more choices in course planning, course design, and lecturing. These technologies not only strengthen the communication between instructors and learners, but also let the learners get an easily access their course materials at anytime and from anywhere. As a result, many educational institutes, including formal universit...

We have implemented ubiquitous computing technology in a primary school setting to support rich classroom activities particularly in the field of early literacy. After initial tests have corroborated the benefit of this technology with respect to attaining curricular goals and to better supporting learner-centred classroom methodologies, we are now exploring specific intelligent support mechani...

ALEKS (Assessment and Learning in Knowledge Spaces) has recently shown promise for effectively training mathematics at equivalent levels to human teachers. However, not much is known about how the system accomplished this. In this paper, we describe the use of three data mining techniques used to analyze student data from an afterschool program with ALEKS. Our first analysis used DMM modeling a...

This paper deals with an intelligent application in the e-learning area (WELSA), aimed at adapting the courses to the learning preferences of each student. The technical and pedagogical principles behind WELSA are presented, outlining the intelligent features of the system. The learner modeling and adaptation methods are also briefly introduced, together with their realization in WELSA. Finally...

A recent trend in the field of learning analytics is to use sensor data about learners to support self-regulated learning. Combining personal, sensor based data with log data derived from a learning environment is a very promising approach, but also poses big challenges for the design of learner models and learner interaction methods, for the interpretation techniques of such data, and on appli...

An extensive analysis of the college teaching literature (over 350 items) suggests that the perspective of perhaps the most highly effective college teachers has yet to be conceptualized, at least within a comprehensive developmental framework. This paper articulates that perspective-called here Systemocentrism (or teacher/learner-centeredness). The perspective b two distinctive elements-attent...

A learner corpus is a useful resource for developing automatic assessment techniques for implementation in a computer-assisted language learning system. However, presently, learner corpora are only helpful in terms of evaluating the accuracy of learner output (speaking and writing). Therefore, the present study proposes a learner corpus annotated with evaluation results regarding the accuracy a...