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...

Sharing a common context of perception is a prerequisite in order for several agents to develop a common understanding of a language. We propose a method, based on a simple imitative strategy, for transmitting a vocabulary from a teacher agent to a learner agent. A learner robot follows and thus implicitly imitates the movements of a teacher robot. While bounded by mutual following, learner and...

Objectives: Cognitive apprenticeship learning focuses on improving understanding and clinical diagnostic reasoning among learners. The aim of this study was to describe the feasibility of cognitive apprenticeship encounters in clinical paediatric settings in terms of time consumption; and to describe the encounters in terms of learner and teacher behavior. Methods: This study was based on data ...

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...

What if there is a teacher who knows the learning goal and wants to design good training data for a machine learner? We propose an optimal teaching framework aimed at learners who employ Bayesian models. Our framework is expressed as an optimization problem over teaching examples that balance the future loss of the learner and the effort of the teacher. This optimization problem is in general h...

The greatest advantage of learning algorithms is their ability to adjust themselves to the required task. While “traditional” algorithms are tailored to perform a single task, learning algorithms acquire the capability to perform it. Learning techniques have been applied successfully in various domains ranging from optical character recognition and information retrieval to medical diagnostics a...

The individualism-collectivism syndrome has considerable impact on many aspects of a society. Basedon theoretical frameworks, classroom observations, and teaching and learning experiences in ESL/EFLclassrooms, this study investigates the cultural orientations in L2 settings where classroom interactionand discourse, the goal of education, and the roles that teachers and students play...

This paper presents an approach to analyse learner interaction, both quantitatively and qualitatively, in the context of a synchronous adaptive communication tool, named ACT. The quantitative analysis aims to provide information about learners’ contributions to the dialogue and the results are presented in a graphical form. Τhe qualitative analysis aims to exploit various attributes regarding l...

Previous teaching models in the learning theory community have been batch models. That is, in these models the teacher has generated a single set of helpful examples to present to the learner. In this paper we present an interactive model in which the learner has the ability to ask queries as in the query learning model of Angluin [1]. We show that this model is at least as powerful as previous...