Situated learning theory offers a radical critique of cognitivist theories of learning, emphasizing the relational aspects of learning within communities of practice in contrast to the individualist assumptions of conventional theories. However, although many researchers have embraced the theoretical strength of situated learning theory, conceptual issues remain undeveloped in the literature. R...

This paper introduces the concept of computer supported sustainable learning processes (CSSLP) and presents a theoretical framework of the research area. Key aspects are discussed in relation to relevant terms and issues such as, learning processes, collaborative learning, distance education, distance learning, situated cognition, and situated learning. The main focus of the paper is to clarify...

This paper addresses the problem of cooperation between learning situated agents. We present an agent’s architecture based on a satisfaction measure that ensures altruistic behaviors in the system. Initially these cooperative behaviors are obtained by reaction to local signals emitted by the agents following their satisfaction. Then, we introduce into this architecture a reinforcement learning ...

A new reinforcement learning (RL) methodology is proposed to design multi-agent systems. In the realistic setting of situated agents with local perception, the task of automatically building a coordinated system is of crucial importance. We use simple reactive agents which learn their own behavior in a decentralized way. To cope with the difficulties inherent to RL used in that framework, we ha...

To view learning and cognition as situated is usually understood to involve rethinking cognitive and learning processes in terms of their framing by context, communication and social practice—in contradistinction to traditional views which focus upon the "isolated, individual subject" in confrontation with a cognitive or learning task. There is, however, a danger in counterposing, in simplistic...

To respond to a user’s query, dialog agents can use a knowledge base that is either domain specific, commonsense (e.g., NELL, Freebase) or a combination of both. The drawback is that domain-specific knowledge bases will likely be limited and static; commonsense ones are dynamic but contain general information found on the web and will be sparse with respect to a domain. We address this issue th...

We present an agent, called RosieTAG, which is implemented in Soar and interacts with an external robotic environment. Rosie learns new games through interactive instruction with a human via restricted natural language. Instead of learning policy or strategy information as is common in other game learners, Rosie learns multiple game formulations (the objects, players, and rules of a game) and t...

A situated Chinese cultural festival learning system based on motion sensing is developed in this study. The primary design principle is to create a highly interactive learning environment, allowing learners to interact with Kinect through natural gestures in the designed learning situation to achieve efficient learning. The system has the following characteristics: the learning activities and ...

Mixed Reality (MR) is one of the newest technologies explored in education. It promises the potential to promote teaching and learning and making learners’ experience more “engaging”. However, there still lack of research on designing a virtual learning environment using MR technology. In this paper, we describe the Mixed Reality technology, the characteristics of situated learning as instructi...