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A recommender for improving the student academic performance

Authors: KUYORO Afolashade

Publication Type: Journal article

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Abstract

There is a growing awareness among researchers about the apparent variations in the academic performance of students in tertiary institutions. Although, many studies have employed traditional statistical methods in identifying the factors responsible for the disparity, the statistical tool for setting a yardstick is yet to be established. Machine learning techniques have been employed as a paradigm in the modeling of studentsâ€™ academic performance in higher learning. However, they could be the springboard for improving prediction of studentsâ€™ academic performance. This work therefore aimed at designing a framework of intelligent recommender system, based on background factors, which can predict studentsâ€™ first year academic performance and recommend necessary actions for improvement.

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KUYORO,A. . (0000). A recommender for improving the student academic performance, 0 (), 0-0.

KUYORO,A. . "A recommender for improving the student academic performance" 0, no (), (0000): 0-0.

KUYORO,A. and . (0000). A recommender for improving the student academic performance, 0 (), pp0-0.

KUYOROA, . A recommender for improving the student academic performance. 0000, 0 ():0-0.

KUYORO,Afolashade , . "A recommender for improving the student academic performance", 0 . (0000) : 0-0.

K.Afolashade , "A recommender for improving the student academic performance" vol.0, no., pp. 0-0, 0000.

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