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Research on the Student Model Based on Neural Fuzzy Comprehensive Method

Author: ZhangZhiQin
Tutor: HuYan
School: Wuhan University of Technology
Course: Applied Computer Technology
Keywords: Student model Neuro-fuzzy comprehensive evaluation Cognitive Science ICAI
CLC: TP183
Type: Master's thesis
Year: 2006
Downloads: 211
Quote: 9
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Abstract


ICAI system ICAI system has become the main direction of international computer-aided teaching and research, it represents a new teaching ideas and teaching methods: simulation objects teachers target students, based on learner characteristics, status tracking learner characteristics and status changes automatically generate teaching information, to adjust teaching process and teaching strategies. , ICAI is a comprehensive interdisciplinary, involving many branches of the field of the computer, the two disciplines. Based on the above considerations, the paper model of students as research subjects, discusses related research in the field of the status quo, and the systematic study of the various methods to establish the student model. On this basis, a more complete model of student cognitive evaluation model students, and the innovative application of neuro-fuzzy comprehensive evaluation method. The main research contents include: by analyzing the modeling method of traditional students, found that they lack on the basis of the consolidated results of previous studies, further study of the student model based on the neural fuzzy comprehensive evaluation method. This model is based on the theory of modern education, the use of artificial intelligence technology, a more complete description of the student model for basic information model, security model, cover model, cognitive model, and testing and evaluation model information module, module of the learning process, cognitive appraisal module to implement the various features of the student model. Cognitive evaluation module is the focus of this research is an innovative, it is based on fuzzy mathematics and artificial neural network theory, and improved the original fuzzy comprehensive evaluation method, the establishment of a new multi-level evaluation model. Studies have shown that a student model in this article more complete compared to the past, not only the knowledge of students that knowledge level description, full description and evaluation of students' cognitive ability: and this evaluation Unlike past as a rough, but considering the students practice tests demonstrated cognitive, the students personality characteristics, learning environment and learning efficiency factors to make the evaluation more in line with the rules of teaching more reasonable. Application showed complementary advantages and disadvantages of the fuzzy comprehensive evaluation method and BP network testing and evaluation model based on neuro-fuzzy comprehensive evaluation method in the evaluation process, to avoid the fuzzy comprehensive evaluation process for a large number of evaluation factors difficult determine the degree of membership, the construct takes time model subjective experiential. Neuro-fuzzy comprehensive evaluation method as the combination of the two is a worthy study evaluation method.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory > Artificial Neural Networks and Computing
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