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...

Though learner-centered paradigm of education has long been introduced to pedagogy in general and language teaching in particular, it seems that scant heed has been given to its implementation as well as the restrictions and challenges on its way. In an attempt to shed more light on the status of learner-centered instruction in Iranian language schools, particularly as regards the imped...

The purpose of this study was to analysis the relationship between elearners‟ circumstance, e-learners‟ factors, e-learning satisfaction in university e-learning classes. The basis of the selected data which was gathered from elearning attendants in H & W universities, Structural Equation Modeling was used to examine the relationship between factors. The main results of the research were as fol...

Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy. In this work, we provide the inTrees (interpretable trees) framework that extracts, measures, prunes and selects rules from a tree ensemble, and calculates frequent variable interactions. An rule-based learner, referred to as the simplified tree ensemble learner (STEL), can also b...

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...

Coactive learning describes the interaction between an online structured learner and a human user who corrects the learner by responding with weak feedback, that is, with an improved, but not necessarily optimal, structure. We apply this framework to discriminative learning in interactive machine translation. We present a generalization to latent variable models and give regret and generalizati...

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...