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Adaptive web-based learning system

Author: GaoXiaoHong
Tutor: ZhangChengHua
School: Shanghai Normal University
Course: Educational Technology
Keywords: Personality differences Adaptive Learning Online Education Distance Learning Learning model Adaptive Item Response Theory
CLC: G434
Type: Master's thesis
Year: 2003
Downloads: 553
Quote: 9
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Abstract

From the the remote educational development trend of the world and our computer network and remote education will become a dominant form of distance education. With the development of network technology and the learning society and lifelong requirements, learn through the network will become the development trend of the era of distance learning. However, the traditional network learning system, often as the center of the system itself does not take full account of user needs and study habits, require people to adapt to the system rather than the system to adapt to the user, not fully in accordance with the law of learning to education, with the result interactive learning effect is not obvious, and many other issues. When the network learning more and more people using more and more learners in the learning adaptability of this network learning system. Therefore in network education practice gradually developed a network-based adaptive learning system is an urgent and important work in front of distance education technology workers. The papers for the status quo, network-based adaptive learning-depth exploration and research on the theory and practice of two levels. In this paper, based on adaptive learning network is built on the basis of full respect for individual differences exist objectively. Found individual differences of the learners, individualized, adaptive learning soul. In theoretical research the background to the study of issues related to network-based adaptive learning, both at home and abroad, this in-depth study based on the theoretical basis of the network of adaptive learning and exploration of the meaning of web-based adaptive learning its essential characteristics, discusses the necessary conditions and the inevitable trend of network-based adaptive learning, and further proposed adaptive learning system based on the network architecture. In practice, research and development, the theoretical basis for the study of cognitive psychology, the systematic analysis of network characteristics of the learning environment, as well as the current network learning system the main problems in the implementation of adaptive learning, then presents a web-based build a comprehensive strategy of adaptive learning system. As a practice, the focus of the study, in the current Internet environment support, WEB and multimedia as the core technology, research and development of an experimental network-based adaptive learning subsystem - Middle School English adaptive learning systems. Conducted with the learners' learning, using item response theory principles and adaptive secondary school English learning system based on network design and development in line with the principles of learner-centered network dynamic interaction records collected learner learning; Joint maximum likelihood estimation ideological trends rewritten learning recording parameters for each different learners to create personalized cognitive model of gradual approximation of their true ability level, and then individual differences in the learning process of learners made quantitative analysis and qualitative evaluation. The above operation's goal is to make the guidance can also be used as the basis for the guidance and assistance appropriate to their individual needs of different learners, learners can be used as the basis to dynamically adjust and control their own learning activities and ultimately achieve the most suitable personalized learning of their own personality. Several angles of the last part of the paper from the trend of online education, advances in network technology, learning theory development prospects, the direction of this thesis, theoretical research and practical development can be further improved prospects for the development of web-based adaptive learning system.

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