Title: Study on quality evaluation method of multimedia distance education based on data mining

Authors: Wenxia Pan

Addresses: School of Foreign Languages, Wuhan City Polytechnic, Wuhan 430070, China

Abstract: Because the traditional evaluation methods have the problems of long evaluation time and low evaluation accuracy, the data mining method is used to study the quality evaluation of multimedia distance education. Firstly, the quality index system of multimedia distance education is established under the basic principles of integrity, pertinence, accuracy, representativeness, objectivity and comparability, and the evaluation indexes are obtained. Then the evaluation indexes are normalised by dimensionless processing, and the weight of each index is calculated by rough set theory. Finally, according to the calculation results; the data mining method is selected to calculate the quality evaluation results of multimedia distance education. The experimental comparison shows that the accuracy of the proposed method for multimedia distance education quality evaluation is up to 100%, the evaluation time is within 7.58s, and the evaluation effect is good.

Keywords: data mining; multi-media; distance learning; quality evaluation; ID3 decision tree method; information entropy.

DOI: 10.1504/IJCEELL.2024.137112

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.2/3, pp.194 - 203

Received: 16 Mar 2022
Accepted: 12 Jul 2022
Published online: 01 Mar 2024 *

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