ICCE '02 Proceedings of the International Conference on Computers in Education
The development and evaluation of a software prototype for computer-adaptive testing
Computers & Education
Personalized e-learning system using Item Response Theory
Computers & Education
A Probabilistic Relational Student Model for Virtual Laboratories
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
A Tutoring Tool Based on Bayesian Approach
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
AnswerMatching: A Competitive Learning Game with Uneven Chance Tactic
DIGITEL '07 Proceedings of the The First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning
An Algorithm for Automatic Difficulty Level Estimation of Multimedia Mathematical Test Items
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
An expert system to achieve fuzzy interpretations of validation data
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An analysis of the research on adaptive learning: the next generation of e-learning
WSEAS Transactions on Information Science and Applications
ICALT '10 Proceedings of the 2010 10th IEEE International Conference on Advanced Learning Technologies
Estimating the difficulty level of the challenges proposed in a competitive e-learning environment
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Applying the adaptive learning material producing strategy to group learning
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Teaching data structures using competitive games
IEEE Transactions on Education
Effects of Competitive E-Learning Tools on Higher Education Students: A Case Study
IEEE Transactions on Education
An empirical study on the quantitative notion of task difficulty
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Intelligent tutoring systems are efficient tools to automatically adapt the learning process to the student's progress and needs. One of the possible adaptations is to apply an adaptive question sequencing system, which matches the difficulty of the questions to the student's knowledge level. In this context, it is important to correctly classify the questions to be presented to students according to their difficulty level. Many systems have been developed for estimating the difficulty of questions. However the variety in the application environments makes difficult to apply the existing solutions directly to other applications. Therefore, a specific solution has been designed in order to determine the difficulty level of open questions in an automatic and objective way. This solution can be applied to activities with special temporal and running features, as the contests developed through QUESTOURnament, which is a tool integrated into the e-learning platform Moodle. The proposed solution is a fuzzy expert system that uses a genetic algorithm in order to characterize each difficulty level. From the output of the algorithm, it defines the fuzzy rules that are used to classify the questions. Data registered from a competitive activity in a Telecommunications Engineering course have been used in order to validate the system against a group of experts. Results show that the system performs successfully. Therefore, it can be concluded that the system is able to do the questions classification labour in a competitive learning environment.