Prediction of student exam performance using data mining classification algorithms
Dalia Khairy,
Nouf Alharbi,
Mohamed A. Amasha
et al.
Abstract:Student outcomes are of great importance in higher education institutions. Accreditation bodies focus on them as an indicator to measure the performance and effectiveness of the institution. Forecasting students’ academic performance is crucial for every educational establishment seeking to enhance performance and perseverance of its students and reduce the failure rate in the future. The main goal of this study is to predict the performance of undergraduate first-level students in the Computer Department duri… Show more
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