A Correlation Study of Students’ Performance in Ethiopian Secondary Schools by Using Data Mining Algorithm
| dc.contributor.advisor | Assefa (Phd), Temtim | |
| dc.contributor.author | Wendimu, Solomon | |
| dc.date.accessioned | 2018-11-10T06:14:03Z | |
| dc.date.accessioned | 2023-11-18T12:45:55Z | |
| dc.date.available | 2018-11-10T06:14:03Z | |
| dc.date.available | 2023-11-18T12:45:55Z | |
| dc.date.issued | 2016-06-05 | |
| dc.description.abstract | In recent years, the biggest challenges that educational institutions are facing the explosive growth of educational data and to use this data to improve the quality of managerial decisions. Educational institutions are playing an important role in our society and playing a vital role for growth and development of nation. An analysis of student’s performance in educational environments is also important as well. Student’s academic performance is based upon various factors like personal characteristics and psychological factors. Educational database contain useful information for predicting a students’ performance, rank factor and details. The data mining techniques are more helpful in analyses of educational data and developing methods for discovering knowledge from data that comes from educational institutions. Extracting the association rules between variables has allow better decision making which can facilitate better resource utilization in terms of educational service delivery. This study aims to analyses and predict the correlation between English, Mathematics and science subjects in terms of student academic result in grade 10 and 12 by using Aprior data mining techniques which mines required information. The data used for the study was grade 10 and 12 students’ national examination result in 2005 E.C and 2007 E.C respectively. The findings of the research showed that there is a positive relationship between English, Mathematics and Science subjects excluding physics. The academic achievement result of male students in both five subjects in both grade 10 and 12 is better than female students. This implies that government and concerned stakeholders in education sector should provide additional support for female students. So the present education system may adopt this as input revision of its educational policy. | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/14111 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Performance in Ethiopian Secondary Schools by Using Data Mining Algorithm | en_US |
| dc.title | A Correlation Study of Students’ Performance in Ethiopian Secondary Schools by Using Data Mining Algorithm | en_US |
| dc.type | Thesis | en_US |