期刊名称:International Journal of Data Mining & Knowledge Management Process
印刷版ISSN:2231-007X
电子版ISSN:2230-9608
出版年度:2015
卷号:5
期号:6
页码:35
DOI:10.5121/ijdkp.2015.5603
出版社:Academy & Industry Research Collaboration Center (AIRCC)
摘要:This paper aims to explain the web-enabled tools for educational data mining. The proposed web-basedtool developed using Asp.Net framework and php can be helpful for universities or institutions providingthe students with elective courses as well improving academic activities based on feedback collected fromstudents. In Asp.Net tool, association rule mining using Apriori algorithm is used whereas in php basedFeedback Analytical Tool, feedback related to faculty and institutional infrastructure is collected fromstudents and based on that Feedback it shows performance of faculty and institution. Using that data, ithelps management to improve in-house training skills and gains knowledge about educational trends whichis to be followed by faculty to improve the effectiveness of the course and teaching skills.