Title :
Online course quality factor analysis based on fuzzy mathematics
Author_Institution :
Comput. & Network Center, GuangDong Polytech. Normal Univ. of Technol., Guangzhou, China
Abstract :
Nowadays, the online course has become one of the most important ways in education, and the quality of online course is influenced by some factor, such as self-teaching ability, teaching assistance, the difficulty of course and the quality of lecture note. For finding the weights of the factors, this paper purpose a model based on fuzzy mathematics for factor analysis in the online course quality evaluation. By applying the survey data in our model, we find out that most student are very much rely on teaching assistance in the online course, and the student with good ability of self-teaching are rely on the quality of teaching software, meanwhile we find that the sophistic theory is not suitable for online course.
Keywords :
courseware; fuzzy set theory; quality management; teaching; fuzzy mathematics; online course quality evaluation; online course quality factor analysis; self-teaching ability; teaching assistance; teaching software; Analytical models; Educational institutions; Internet; Mathematical model; Vectors; Factor Analysis; Fuzzy Mathematics; Online Course Quality;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6132122