After completing my medical training

The paper presents on-going work towards deeper understanding of the factors influencing the performance of the Latent Semantic Analysis (LSA). Unlike previous attempts that concentrate on problems such as matrix elements weighting, space dimensionality selection, similarity measure etc., we

This article sets the stage for a debate, played out in two subsequent articles in this issue by Glenberg and by Mahon, regarding the role of embodied conceptual representations in cognitive operations such as language understanding and object identification. On an embodied view of cognition

We consider in depth the semantic analysis in learning systems as well as some information retrieval techniques applied for measuring the document similarity in eLearning. These results are obtained in a CALL project, which ended by extensive user evaluation. After several years spent in the development of CALL modules and prototypes, we think that much closer cooperation with real teaching experts is necessary, to find the proper learning niches and suitable wrappings of the language technologies, which could give birth to useful eLearning solutions.

.Dependingonthatcause,theproposedsystemadaptsdialogue behaviours to student’s needs by asking her to reflect on her knowledge in a self-explanation process, providing error-specific explanations, and enabling her to fix the error herself. This approach is designed to encourage students to develop a deeper understanding of syntactic concepts in programming.

an initial foundation toward a deeper understanding and a science of interaction. Index Terms—Information visualization, interaction, interaction techniques, taxonomy, visual analytics 1

visualization. We consider the forms and reactions to sequencing in narrative visualization presentations to provide a deeper understanding with a focus on linear, “slideshow-style ” presentations. We conduct a qualitative analysis of 42 professional narrative visualizations to gain empirical knowledge

Many databases have become Web-accessible through form-based search interfaces (i.e., HTML forms) that allow users to specify complex and precise queries to access the underlying databases. In general, such a Web search interface can be considered as containing an interface schema with multiple attributes and rich semantic/meta information; however, the schema is not formally defined in HTML. Many Web applications, such as Web database integration and deep Web crawling, require the construction of the schemas. In this paper, we first propose a schema model for representing complex search interfaces, and then present a layout-expression based approach to automatically extract the logic attributes from search interfaces. We also rephrase the identification of different types of semantic information as a classification problem, and design several Bayesian classifiers to help derive semantic information from extracted attributes. A system, WISE-iExtractor, has been implemented to automatically construct the schema from any Web search interfaces. Our experimental results on real search interfaces indicate that this system is highly effective.

Studying how people look at a product is important for understanding human interpretation of design products. This research studies the perception of design products by using eye tracking technology and applying established usability research methods. The gaze path analysis shows that people look

University presents an ideal opportunity for conceptual assessment given its somewhat atypical student composition. In this study both qualitative and quantitative measures of student understanding of a key concept in modern physics, the photoelectric effect are utilized. As a quantitative overall baseline