The Application Research of Fuzzy C Means Clustering Algorithm in Middle School Students' Network Learning Media Preference
Yu Hua Jiang · Applied Mechanics and Materials · 2014
It is an inevitable result of the education informationization for middle school students to carry out network learning. In order to obtain good network study effect, media preference study of middle school students is very necessary. Media preference refers to students’ fond degree of media in learning network resources. From media preference, students’ personality characteristics of media can be better understood to help network system choose more suitable teaching method for high school students. This paper, by using Fuzzy C Means clustering algorithm, studied media preferences, and got reasonable results, thus provides personalized learning basis for network resources.With the development of information technology, network distance education is developing rapidly as a new means of education and way of education. However, most of the network resources learning rely mainly on students' autonomous learning, and did not provide good personalized learning style and environment. Media preference degree is an important basis of personalized teaching, so how to carry on reasonable analysis on media preference is very important. Students’ media preference behaviors are stored in network background. By using FCM (Fuzzy C Means clustering algorithm), reasonable analysis for media preference can be done. The analysis of the results can be used as the basis of personalized learning to better promote personalized online learning.