This paper presents an investigation conducted in a public university central Mexico into the possible influence of learners’ perceptions task difficulty (TD) on levels complexity, accuracy and fluency (CAF) during performance three tasks (personal information, narrative decision-making tasks). Firstly, four learner pairs performed tasks, their CAF were measured. Secondly, participants intervie...

Learner autonomy (LA) has always been a controversial issue among applied linguists. Several studies have been carried out to investigate the teachers' and learners' perceptions of learner autonomy as well as the feasibility of learner autonomy. Despite the importance of learner autonomy and the existence of several related studies, the challenges in promoting LA in Iranian institutes to the re...

this study attempts to examine the multilingualism in algeria, in other words, the phenomenon of linguistic diversity which characterizes the algerian reality and its relationship. for that matter the article visualizes the linguistic level of learners especially children, highlighting the characteristics of the multiplicity of its causes and manifestations. here, the descriptive methodology is...

Recent developments in learning technologies such as hypermedia are becoming widespread and offer significant contributions to improving the delivery of learning and teaching materials. A key factor in the development of hypermedia learning systems is cognitive style (CS) as it relates to users‟ information processing habits, representing individual users‟ typical modes of perceiving, thinking,...

This paper introduces t-OLM, an open learner model to investigate user trust in a range of learner model externalisations. It was found that, while sufficient levels of use were made to suggest user trust in an externalised learner model, the relationship between trust and perceived utility, perceived accuracy, and level of understanding of the model representations, is not straightforward.

Variable selection and model choice are of major concern in many statistical applications, especially in high-dimensional regression models. Boosting is a convenient statistical method that combines model fitting with intrinsic model selection. We investigate the impact of base-learner specification on the performance of boosting as a model selection procedure. We show that variable selection m...

Investigating the “knowing”, a module of the KARDS model proposed by Kumaravadivelu (2012) for teacher education, of Iranian teachers of learner autonomy, this study is an attempt to illuminate some of the yet unexplored areas of teachers’ various types of knowledge of learner autonomy. Furthermore, it attempts to illustrate how Iranian Non-EFL teachers’ knowing affects their practices with reg...