literature on the psychology of computer programming, especially research in cognitive psychology related to beginning programming. A general description of the project is followed by a review of the. Based on a cognitive analysis of elementary programming statements in BASIC and calculator language into conceptual units, the project builds on previous research on learning BASIC programming. This 5-section report summarizes the results of a project concerned with how novices learn to become creative educational computer users. It will discuss the needs and challenges of “adaptation in motion” and present some known success stories. To answer the conference motto “interaction in motion” the talk will specially address the issue of developing adaptive systems for ubiquitous computing and mobile Web. It will also present several examples of adaptive Web systems in different application areas. This talk will review a number of adaptation techniques that have been developed and evaluated in the field of adaptive hypermedia and applied in adaptive Web systems. While research-level systems constitute the majority of adaptive Web systems, a few successful industrial systems show the commercial potential of the field. A number of more recent projects are also exploring new application areas such as e-commerce, medicine, and tourism. Currently, the established application areas of adaptive Web systems are education, information retrieval, and kiosk-style information systems. Started in with a few pioneering works on adaptive hypertext in early 1990, it now attracts many researchers from different communities such as hypertext, user modeling, machine learning, natural language generation, information retrieval, intelligent tutoring systems, cognitive science, and Web-based education. Adaptive Web is a relatively young research area. A remedy for the negative effects of the traditional “one-size-fits-all” approach is to develop systems with an ability to adapt their behavior to the goals, tasks, interests, and other features of individual users and groups of users. Web systems suffer from an inability to satisfy heterogeneous needs of many users. The paper is an example of an application of modern information technologies in education.
A significant benefit is continuous numerical evaluation of the student's degree of affiliation to all learning categories (types of student) with a possibility of simple determination of dominant and subdominant types, the use of a linguistic rule-based decision-making model, which is completely transparent and open, and the use of a decision-making procedure corresponding to the process of human consideration. The expert system was designed to diagnose learning styles of university students in adaptive computer aided learning systems.
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The paper analyses different methods of the learning styles diagnostics, incorporating this issue into the scientific field of artificial intelligence and presents an idea on how to diagnose a learning style by using an unconventional fuzzy logic linguistic expert system. It is focused on a method of learning styles recognition with the support of modern information technologies.
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Check out our PDF Expert related stores, or visit our homepage to search our database of thousands of discount codes.The paper deals with learning styles and their initial diagnostics in the process of the student's learning.
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