NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1164601
Record Type: Journal
Publication Date: 2017-Dec-23
Pages: 11
Abstractor: As Provided
ISSN: EISSN-1990-3839
Predicting Effective Course Conduction Strategy Using Datamining Techniques
Parkavi, A.; Lakshmi, K.; Srinivasa, K. G.
Educational Research and Reviews, v12 n24 p1188-1198 Dec 2017
Data analysis techniques can be used to analyze the pattern of data in different fields. Based on the analysis' results, it is recommended that suggestions be provided to decision making authorities. The data mining techniques can be used in educational domain to improve the outcome of the educational sectors. The authors carried out this research study by devising a mathematical model and tool to determine effective course conduction strategy, for teaching the students regression analysis and goodness of fit test. This helps the faculty to take necessary remedial actions to improve performance in courses by selecting effective course conduction based on the students' performance. The accuracy of prediction in this research is more as it is measured by using Rsquare value which is near to one.
Academic Journals. e-mail:; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A