Mvurya Mgala
ABSTRACT
Many primary school students in rural areas of developing countries perform poorly in national final exams, and therefore, fail to transit to secondary schools. This problem causes undereducation and shortage of skilled manpower in the developing countries. Mobile Academic Performance Prediction System (MAPPS) is a technology that categorises students into two groups: those requiring high intervention and those requiring low intervention. This study investigates predicting the students that need high intervention in order to motivate initiation of intervention measures early enough. The focus in this paper is the mobile application design process and the usability evaluation of MAPPS.
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Index Terms
- Undereducation, Motivating Intervention in Rural Schools with MAPPS
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