Intelligent e-learning system for improving students’academic achievements in computer programming courses

• Autores: Utku Kose, Ahmet Arslan
• Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 32, no. 1 (Parte A), 2016, págs. 185-198
• Idioma: inglés
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• Resumen

  • The objective of this study is to introduce an intelligent E-Learning software system, which aims to improve students’motivations and academic achievements in computer programming courses. The system is based on an intelligent analysisapproach, which is formed via an Artificial Neural Network model trained by Cognitive Development OptimizationAlgorithm. This intelligent approach tries to provide appropriate materials to students by evaluating learning levels. Atthis point, types of learning levels are defined by teachers and associated with specific abilities regarding to computerprogramming. After determining learning levels according to results of the performed activities, it is then possible forsoftware system to provide appropriate materials/applications corresponding types of low learning levels. Thanks to thesystem, it is possible to learn abstract, difficult computer programming based subjects easily. In order to have idea abouteffectiveness of the system, it was evaluated in some computer programming courses with contribution of 110 students andeventually, positive results were obtained after several evaluation works.