The identification of the user’s intention or interest through queries that they submit to a search engine can be very useful to offer them more adequate results. In this work we present a framework for the identification of user’s interest in an automatic way, based on the analysis of query logs. This identification is made from two perspectives, the objectives or goals of a user and the categ...

This paper reports from a joint project between two groups of students from New York and Uddevalla, Sweden. A web based discussion board facilitated their communication. Analysis of the interaction patterns tells a story of ‘getting acquainted’, but also of building a community for collaboration and learning . The students gradually moved from polite dinner table-like conversations to active di...

We are working on the use of Reinforcement Learning (RL)[3] algorithms to design automatically reactive situated agents limited to only local perceptions. Unfortunately, as good RL algorithms suffer from combinatorial explosion, their use is generally limited to simple problems. As shown on the tile-world example of figure 1, we propose to overcome these difficulties by making the hypothesis, a...

Knowledge is now recognized as an important basis for competitive advantage and many firms are beginning to establish initiatives to leverage and manage organizational knowledge. These include efforts to codify knowledge in repositories as well as efforts to link individuals using information technologies to overcome geographic and temporal barriers to accessing knowledge and expertise. We sugg...

In this paper we analyze, from the perspective of ‘Embodied Cognition’, why learning and cognition are situated and context-dependent. We argue that the nature of situated learning and cognition cannot be fully understood by focusing only on social, cultural and contextual factors. These factors are themselves further situated and made comprehensible by the shared biology and fundamental bodily...

This paper reports on an experimental research study that aimed at investigating the effectiveness of employing a virtual task-based situated language learning (TBSLL) environment mediated by Second Life (SL) in developing EFL student teachers’ pragmatic writing skills and their technological self-efficacy. To reach this goal, a control-only experimental research design was employed to compare ...

This study presents experiments on the learning of object handling behaviors by a small humanoid robot using a dynamic neural network model, the recurrent neural network with parametric bias (RNNPB). The first experiment showed that after the robot learned different types of ball handling behaviors using human direct teaching, the robot was able to generate adequate ball handling motor sequence...

We introduce a model for incorporating contextual information (such as geography) in learning vector-space representations of situated language. In contrast to approaches to multimodal representation learning that have used properties of the object being described (such as its color), our model includes information about the subject (i.e., the speaker), allowing us to learn the contours of a wo...

The development of entrepreneurship education in colleges and universities has showed some weaknesses, such as teaching practice activities too centered around formalities, lack authentic start-up projects, emotional resonance cultivation. In order to effectively solve these challenges, this paper proposes introduce the situated learning theory into innovation courses. doing so, a paradigm appl...

Handing down health knowledge and behavior patterns is a main objective of health promotion. Often, interventions do not bring about the intended change of behavior. This could be due, among other things, to the fact that the majority of intervention programs are not based on principles of instructional design to bridge the gap between knowledge and action. A situated design of health promotion...