Study on accurate evaluation of network distance education quality based on analytic hierarchy process Online publication date: Wed, 19-Jul-2023
by You Yin
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 33, No. 4/5, 2023
Abstract: In order to overcome the problems of low evaluation accuracy and low fitting degree of evaluation model existing in traditional methods, a new accurate evaluation method of network distance education quality based on analytic hierarchy process was proposed. Data mining method is used to obtain quality evaluation data of network distance education, and fuzzy neural network is used to normalise the mined data. The evaluation system of education quality was established, and all indicators were compared pairwise by AHP. Meanwhile, the comparison results were transformed into a comparative judgement matrix, and the calculation results of index weights were obtained, so as to construct an accurate evaluation model of education quality. The experimental results show that the evaluation accuracy of the proposed method is high, and the fitting accuracy of the evaluation model is more than 95%, and the fitting time is always kept below 15 s.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook