Background: Medical education has experienced a significant shift from traditional teaching styles to online, distance, or electronic learning, which applies technology support strategies and engage learners in the learning process more effectively. Objectives: This study aimed investigate educators’ trainees’ viewpoints on virtual for community health workers (CHWs) at Kermanshah University of...

The Problem: This work explores socially situated learning by exploiting the types of interaction that arise between a nurturing caretaker and an immature learner. Here, the learner is an anthropomorphic robotic platform. Its primary sensory inputs include vision, audition, and joint rotation of its degrees of freedom. Its outputs include vocalizations, head and eye orientation, and facial expr...

In this paper, we present the application of unsupervised learning techniques to automatically recognize behaviors that may be detrimental to learning during interaction with an Exploratory Learning Environment (ELE). First, we describe how we use the k-means clustering algorithm for off-line identification of learner groups with distinguishing interaction patterns who also show similar learnin...

Second language acquisition research since the 90s has emphasized the importance of supporting awareness of language categories and forms, and input enhancement techniques have been proposed to make target language features more salient for the learner. We present an NLP architecture and webbased implementation providing automatic visual input enhancement for web pages. Learners freely choose t...

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...

In this paper, we explore the use of genetic algorithms (GAs) to construct a system called GABIL that continually learns and refines concept classification rules from its interaction with the environment. The performance of this system is compared with that of two other concept learners (NEWGEM and C4.5) on a suite of target concepts. From this comparison, we identify strategies responsible for...

In the classic educational context, observing and identifying learner’s emotional response allow the teacher to adapt the lesson, with the aim of improving the quality of the learning process. In computer environment, Intelligent Tutoring Systems (ITS) should consider relationships between emotion, cognition and action in order to improve the interaction with the learner. Hence, inspired by cog...

............................................................................................................................. 3 1 The Learner............................................................................................................... 3 1.1 Cognitive style ................................................................................................... 3 1.1.1 Witkin’s Field...

recent interaction studies havefocused on the relationship between interactional feedback and l2 development.despite the large body of knowledge in this regard, few studies have examinedlearners’ preferences for interactional feedback. besides, different findingshave been reported concerning learners’ preferences for feedback and none hasexamined the factors accounting for the variation in the ...

Indicators help actors to organise, orientate and navigate through complex environments by providing contextual information relevant for the performance of learning tasks. In this article we analyse the requirements, present a model and an initial prototype of a software system that uses smart indicators to support learners to be more engaged in the learning process. We argue that indicators ne...