TITLE

Analysis of students' satisfaction towards organic chemistry course in universities based on binary logistic regression

AUTHOR(S)
Yijun Zhang
PUB. DATE
December 2013
SOURCE
Journal of Chemical & Pharmaceutical Research;2013, Vol. 5 Issue 12, p1374
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The quality of course teaching is one of the key factors in evaluating teaching level, with students' satisfaction being the measure of teaching quality. An analysis of the students' satisfaction towards teaching helps teachers to improve their teaching skills and provides reference for teacher's skill training. With Organic Chemistry course in universities as the object of study, we have collected satisfaction data of 120 students through survey and thus established a Binary Logistic regression model, focusing on 5 aspects: teaching attitude, content of course, teaching management, teaching method, and experimental teaching. The factors affecting students' satisfaction towards Organic Chemistry course, in descending order of significance, are: linking theory with practice, experiment demonstration, inspiration in teaching, the accuracy of teaching contents, keeping new information up to date, giving prominence to the key points, the proficiency in teaching, flexibility of teaching method, organization of course, prepare lessons, experiment instructions. With improvements in these factors, the satisfaction of students will be greatly raised. The application of Binary Logistic regression model helps increase the accuracy of the results.
ACCESSION #
97872770

 

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