Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Profiling students' adaptation styles in Web-based learning
Computers & Education
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Rule Evaluation Measures: A Unifying View
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Order-based fitness functions for genetic algorithms applied to relevance feedback
Journal of the American Society for Information Science and Technology
A Diversity-Controlling Adaptive Genetic Algorithm for the Vehicle Routing Problem with Time Windows
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
Data Mining and Knowledge Discovery
Journal of the American Society for Information Science and Technology
An enhanced genetic approach to optimizing auto-reply accuracy of an e-learning system
Computers & Education
Supply chain simulator: A scenario-based educational tool to enhance student learning
Computers & Education
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
Some problems of computer-aided testing and "interview-like tests"
Computers & Education
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
An analysis of the research on adaptive learning: the next generation of e-learning
WSEAS Transactions on Information Science and Applications
Adaptive genetic programming for dynamic classification problems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Individualistic versus competitive game-based e-learning
Advanced Technology for Learning
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Diversity in genetic programming: an analysis of measures and correlation with fitness
IEEE Transactions on Evolutionary Computation
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing
IEEE Transactions on Fuzzy Systems
Effects of Competitive E-Learning Tools on Higher Education Students: A Case Study
IEEE Transactions on Education
Expert Systems with Applications: An International Journal
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The success of new learning systems depends highly on their ability to adapt to the characteristics and needs of each student. QUESTOURnament is a competitive e-learning tool, which is being re-designed in order to turn it into an adaptive e-learning system, managing different contests adapted to the progress of the students. In this adaptation process, the first step is to design a mechanism that objectively estimates the difficulty level of the challenges proposed in this environment. The present paper describes the designed method, which uses a genetic algorithm in order to discover the characteristics of the answers to the questions corresponding to the different difficulty levels. The fitness function, which evaluates the quality of the different potential solutions, as well as other operators of the genetic algorithm are described. Finally, an experiment with a real data set is presented in order to show the performance of this approach.