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Research on Independent College Teaching Evaluation System Based on Support Vector Machine

Author: LiuXiaoYan
Tutor: YaoYuXia
School: Jilin Agricultural University
Course: Applied Computer Technology
Keywords: Teaching evaluation Support Vector Machine Evaluation
CLC: TP18
Type: Master's thesis
Year: 2011
Downloads: 90
Quote: 0
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Abstract


With the rapid development of higher education, the increasing size of the student body of the college, the school in the form of more and more. The role of the Independent Institute of Higher Education has become even more obvious, its independent institute requirements are getting increasingly high. Therefore, evaluation of teaching quality and level of independent institutions have gradually put on the agenda with the development of education. Currently in the country, the foreign educational measurement and evaluation have been caused by the relevant departments and attaches great importance to education research scholars, and rich results and great progress has also been made with respect to the evaluation of teaching ability, teaching ability evaluation. However, the current study is mostly based on classical statistical methods. The statistical method is too cumbersome with the evaluation criteria of educational measurement and evaluation of the scientific method, the accuracy requirements continue to increase, and the deepening of Educational Measurement and Evaluation Method traditional evaluation method is too cumbersome, calculated leaving the application has been limited. The development of computer and information technology, application of computer information storage, computing, processing, analysis and statistics may be brought. Computer science and technology has been increasingly applied to data analysis, processing-based and penetrated into all fields. The combination of problems in the measurement and evaluation of teaching in the field of education, but also being integrated use of computer technology and other technology, pedagogy, mathematics and computer science tools to effective solutions. Teachers to evaluate this issue based on the teaching of computer intelligence evaluation method is the use of related disciplines (such as neural networks, fuzzy logic, etc.) and data mining method, and has been made in the areas of scientific research in the field of artificial intelligence research, which seeks a combination of experience and knowledge of experts in the field and teacher capability evaluation method based on the combination of computer technology learning. In this way, we not only can analyze and evaluate the quality of teachers, teaching level and comprehensive capabilities, measurement and evaluation as well as some other phenomenon in the field of education. To a certain extent can promote the development of educational measurement and educational research. The support vector machine (SVM) theory is applied to independent colleges teaching evaluation system which the institutions teaching evaluation, according to the theory of pedagogy, teaching evaluation index is set in accordance with certain requirements of Independent Colleges. SVM principle of sample data is divided into two parts, the training data sample evaluation system, to be trained model, with intelligent training model forecast data evaluation and analysis. This project comes from the Institute of Jilin Agricultural University, data objects for the school's teaching evaluation data. The system uses the LIBSVM toolbox of Matlab for data processing. Through experiments and test run showed that the evaluation of teaching evaluation data based on support vector machine, you can make the evaluation more accurate and reasonable, reduce error and error due to human causes in the evaluation process, but also greatly reduces the work of teaching management departments amount. Can be relatively objective teaching evaluation system to evaluate the teaching quality of teachers, so the application of good prospects.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
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