A Framework for Dropout Monitoring and Management System
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Date
2017-07-08
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Computing, Information Systems, Development Informatics & Allied Research Journal
Abstract
Dropping out of school has economic and social implications on the dropouts and the society at large. Being a global problem, efforts of researchers on the causes, effects, preventives and control methods are well documented in the literature. However, despite these efforts, the world is still witnessing unacceptable rate of school dropouts. The National Dropout rate in United State is 8.1% , that of the foreign borns is 20.7%. Though, there is no coordinated dropouts figure in Nigeria, that of South Africa is 40%. Presently, in Africa, issue of dropouts is not receiving enough attention of the people and government. It is being viewed as the problem of the victims and their families. Hence, available researches on the subject matter are international. The techniques and findings reported cannot therefore be generalized or directly adopted in Nigeria for societal, cultural, social, and political diversities. This work presents a conceptual framework for dropout monitoring and control in Nigerian Universities. Theories of Attribution, Social- Capital, and Engagement provide the bases for the design. The causes, prevention and control components of the framework are explained. The significance of the Early Dropout Warning and Control subsystem is stressed and techniques for its realization are also explained. On implementation, the dropout risk factors in Nigeria shall be determined and the most appropriate Data Minning and Artificial intelligence techniques for the subsystem shall be discovered. Also, the
acceptability and effectiveness of the system shall be evaluated. Inferences drawn and the lessons learnt shall form the basis for further recommendations and future works.