Prediction of college student academic performance using data mining techniques.
For every learning institution whether schools, colleges or universities, high student success rate is the strategic goal that mirrors the reputation of an institution. However, case-by-case analysis is a daunting task and does not take into account data from a number of previous semesters or trend...
Main Authors: | Abd Jalil, Azura, Mustapha, Aida, Santa, Dzulizah, Zain, Nurul Zaiha, Radwan, Rizalina |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2013
|
Online Access: | http://psasir.upm.edu.my/id/eprint/31371/1/ID%2031371.pdf |
Similar Items
-
A systematic literature review on predicting students academic performance by using data mining techniques
by: Suhaimi, Nurul Hafida, et al.
Published: (2024) -
Predicting STEM academic performance in secondary schools: data mining approach
by: Termedi @Termiji, Mohammad Izzuan, et al.
Published: (2019) -
Mining student information system records to predict students’ academic performance
by: Saa, Amjad Abu, et al.
Published: (2020) -
Predicting student academic achievement based on different types of mindsets among college students
by: Mohd Shahabuddin, Khairul Najlah, et al.
Published: (2016) -
Position score weighting technique for mining web content outliers.
by: Mustapha, Norwati, et al.
Published: (2013)