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A Neuro-Fuzzy Model for Predicting Students Performance in Object-Oriented Programming Courses
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 21 |
| Year of Publication: 2019 |
| Authors: Olusola Olajide Ajayi, Temitope Clement Akindele |
10.5120/ijais2019451805
|
Olusola Olajide Ajayi, Temitope Clement Akindele . A Neuro-Fuzzy Model for Predicting Students Performance in Object-Oriented Programming Courses. International Journal of Applied Information Systems. 12, 21 ( June 2019), 26-32. DOI=10.5120/ijais2019451805
Abstract
Failure trend in object-oriented programming courses is mostly on the increase side, student’s performance in other courses are most times better than in programming courses. One of the ways to improve the student performance is for the instructors to identify the group of students who might not perform well at the later stage of learning. From there the instructor can focus on the students in order to help them to improve their performance. Thus, in this case making the prediction of student performance a major step in identifying the potential students that needs further help such as extra classes or special tutorials and assignments. Therefore, the need for performance prediction in programming courses becomes imperative. The study will use neuro-fuzzy model to evaluate the current performance of students and then predict the students’ performances in subsequent object oriented programming courses.
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