Interaction research in distance education has focused mostly on learner-teacher interaction in a learning environment based on a behaviorist curriculum. This presentation focuses on factors contributing to learner-learner interaction in a distance learning course based on learner-centered and collaborative instructional design. The proposed model, which resulted from research on patterns of le...

As robots become more commonplace within society, the need for tools that enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning from Demonstration (LfD) offers one promising approach, where the robot learns a policy from teacher task executions. In this work we present an algorithm that incorporates human teacher feedback to enable policy improvement fr...

This paper considers some of the similarities between the goals of supporting and encouraging metacognition in intelligent tutoring systems and learning in general, and the benefits of opening the learner model to the learner and to the teacher. We identify the purposes for an open learner model and provide examples of two important classes of open learner models: those within a particular teac...

In real-world applications of education and human teaching, an effective teacher chooses the next example intelligently based on the learner’s current state. However, most of the existing works in algorithmic machine teaching focus on the batch setting, where adaptivity plays no role. In this paper, we study the case of teaching consistent, version space learners in an interactive setting—at an...

Due to the opportunities provided by the Internet, more and more people are taking advantage of distance learning courses and during the last few years enormous research efforts have been dedicated to the development of distance learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is about 30%. One of the r...

While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooperative teacher that selects “helpful” training examples. The number of training examples a learner needs for identifying a concept in a given class C of possible target concepts (sample complexity of C) is lower in mode...

We propose ReMagicMirror, a system to help people learn actions (e.g., martial arts, dances). We first capture the motions of a teacher performing the action to learn, using two RGB-D cameras. Next, we fit a parametric human body model to the depth data and texture it using the color data, reconstructing the teacher’s motion and appearance. The learner is then shown the ReMagicMirror system, wh...

The use of Information and Communication Technology (ICT) in education is one important competence that student teacher should develop in their academic studies. To be capable of using ICT in education, students should study both pedagogical and technical issues. In order to affect student teachers’ willingness to use ICT in education, more attention should be paid to their learning experiences...

This chapter is about the notion of agency and its role in language learning. The main principle involved is that learning depends on the activity and the initiative of the learner, more so than on any “inputs” that are transmitted to the learner by a teacher or a textbook. This does not, of course, diminish the need for texts and teachers, since they fulfil a crucial mediating function, but it...