dc.contributor.author | Manderick, Bernard | |
dc.contributor.author | Omulo, Elisha O | |
dc.contributor.author | Odongo, William O | |
dc.contributor.author | Ngemu, Joseph M | |
dc.date.accessioned | 2015-06-19T10:48:41Z | |
dc.date.available | 2015-06-19T10:48:41Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Ngemu, Joseph Mutuku, William Okelo Odongo, Elisha Opiyo Omulo, and Bernard Manderick. "Student Retention Prediction in Higher Learning Institutions: The Machakos University College Case." | en_US |
dc.identifier.uri | http://hdl.handle.net/11295/85188 | |
dc.description.abstract | Student retention has become one of the most important
priorities for decision makers in higher learning institutions
(HLI). Improving student retention starts with a thorough
understanding of the reasons behind the attrition. In this study,
using student demographic and institutional data along with
several business intelligence (BI) techniques, we developed
prototype to predict likelihood of student persistence or dropout.
This study used classification models generated using Waikato
Environment for Knowledge Analysis (WEKA). The model was
built using the 10-fold cross validation, and holdout method (60%
of the data was used as training and the remaining as test and
validation). Random sampling techniques were used in selecting
the datasets. The attribute selection analysis of the models
revealed that the student age on entry, parent occupation, health
of student and financial variables are among the most important
predictors of the phenomenon. Results of the classifiers were
compared using accuracy level, confusion matrices and speed of
model building benchmarks. The study shows that identifying the
relevant student background factors can be incorporated to
design a prototype that can serve as valuable tool in predicting
student withdrawal or persistence as well as recommend the
necessary intervention strategies to adopt, leading to better
education efficiency. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.title | Student Retention Prediction in Higher Learning Institutions: The Machakos University College Case | en_US |
dc.type | Article | en_US |
dc.type.material | en_US | en_US |