Oyebade Kayode Oyedotun; Sam Nii Tackie; Ebenezer Obaloluwa Olaniyi; Khashman Adnan

Data Mining of Students’ Performance: Turkish Students as a Case Study

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Author(s)

Oyebade Kayode Oyedotun ^1,* Sam Nii Tackie ¹ Ebenezer Obaloluwa Olaniyi ¹ Khashman Adnan ²

1. Near East University/Electrical & Electronic Department, Lefkosa, via Mersin-10, North Cyprus

2. Centre of Innovation for Artificial Intelligence, British University of Nicosia, Girne, via Mersin-10, North Cyprus

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2015.09.03

Received: 20 Dec. 2014 / Revised: 1 Mar. 2015 / Accepted: 17 May 2015 / Published: 8 Aug. 2015

Index Terms

Artificial Neural Network, Data Mining, Classification, Students’ Evaluation

Abstract

Artificial neural networks have been used in different fields of artificial intelligence, and more specifically in machine learning. Although, other machine learning options are feasible in most situations, but the ease with which neural networks lend themselves to different problems which include pattern recognition, image compression, classification, computer vision, regression etc. has earned it a remarkable place in the machine learning field. This research exploits neural networks as a data mining tool in predicting the number of times a student repeats a course, considering some attributes relating to the course itself, the teacher, and the particular student. Neural networks were used in this work to map the relationship between some attributes related to students’ course assessment and the number of times a student will possibly repeat a course before he passes. It is the hope that the possibility to predict students’ performance from such complex relationships can help facilitate the fine-tuning of academic systems and policies implemented in learning environments. To validate the power of neural networks in data mining, Turkish students’ performance database has been used; feedforward and radial basis function networks were trained for this task. The performances obtained from these networks were evaluated in consideration of achieved recognition rates and training time.

Cite This Paper

Oyebade K. Oyedotun, Sam Nii Tackie, Ebenezer O. Olaniyi, Adnan Khashman, "Data Mining of Students’ Performance: Turkish Students as a Case Study", International Journal of Intelligent Systems and Applications(IJISA), vol.7, no.9, pp.20-27, 2015. DOI:10.5815/ijisa.2015.09.03

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International Journal of Intelligent Systems and Applications (IJISA)