• Corpus ID: 212517413

An Educational Data Mining Model for Predicting Student Performance in Programming Course

@inproceedings{Pal2017AnED,
  title={An Educational Data Mining Model for Predicting Student Performance in Programming Course},
  author={S K Pal and Murat Koklu and Humar Kahramanli and Novruz Allahverdi and P. Andreeva and Maya Dimitrova and Plamena Adriyan Radeva and L. Ozbakir and Adil Baykasoğlu and Sinem Kulluk},
  year={2017}
}
This paper presents an educational data mining model for predicting student performance in programming courses. Identifying variables that predict student programming performance may help educators. These variables are influenced by various factors. The study engages factors like students' mathematical background, programming aptitude, problem solving skills, gender, prior experience, high school mathematics grade, locality, previous computer programming experience, and e learning usage… 

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