Nonspeech systems can be either aided or unaided. Each system possess its unique learning and memory characteristics. One instructional strategy designed to give learners the advantages of both systems is dual instruction in aided and unaided communication. One problem with this approach, however, might be that of retroactive and proactive interference in learning and memory. The current experi...

In this paper we advocate a paradigm of socially guided machine learning, designing agents that take better advantage of the situated aspects of learning. We augmented a standard Reinforcement Learning agent with the social mechanisms of attention direction and gaze. Experiments with an interactive computer game, deployed over the World Wide Web to over 75 players, show the positive impact of t...

Natural language understanding and dialog management are two integral components of interactive dialog systems. Previous research has used machine learning techniques to individually optimize these components, with different forms of direct and indirect supervision. We present an approach to integrate the learning of both a dialog strategy using reinforcement learning, and a semantic parser for...

self-regulation is the ability to regulate one’s cognition, behavior, actions, and motivation strategically and autonomously in order to achieve self-set goals including the learning of academic skills and knowledge. accordingly, self-regulated learning involves self-generated and systematic thoughts and behaviors with the aim of attaining learning goals. with that in mind, this study aimed to ...

with regard to the impossibility of preparing learners for each situation that they might encounter in their life, it is more logical to teach them how to cope with unexpected challenges. helping learners ‘learn how to help themselves’ can be facilitated by means of tasks and activities in the classroom context. this paper presents some of the find- ings of a study on iranian young learners bet...