User Modeling and User-Adapted Interaction
Fuzzy Inference for Student Diagnosis in Adaptive Educational Hypermedia
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Using a Probabilistic Student Model to Control Problem Difficulty
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Personalized e-learning system using Item Response Theory
Computers & Education
Adaptive testing for hierarchical student models
User Modeling and User-Adapted Interaction
Improving Student Performance Using Self-Assessment Tests
IEEE Intelligent Systems
Personalized web-based tutoring system based on fuzzy item response theory
Expert Systems with Applications: An International Journal
Re-assessing the Value of Adaptive Navigation Support in E-Learning Context
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
SIETTE: A Web-Based Tool for Adaptive Testing
International Journal of Artificial Intelligence in Education
Addressing the assessment challenge with an online system that tutors as it assesses
User Modeling and User-Adapted Interaction
An educational component based framework for web ITS development
ICWE'03 Proceedings of the 2003 international conference on Web engineering
On the impact of adaptive test question selection for learning efficiency
Computers & Education
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Expert Systems with Applications: An International Journal
KT-IDEM: introducing item difficulty to the knowledge tracing model
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Student modeling and assessment in intelligent tutoring of software patterns
Expert Systems with Applications: An International Journal
Item difficulty estimation: An auspicious collaboration between data and judgment
Computers & Education
Expert Systems with Applications: An International Journal
Evaluating the integration of fuzzy logic into the student model of a web-based learning environment
Expert Systems with Applications: An International Journal
Using Bayesian networks to improve knowledge assessment
Computers & Education
| Hi-index | 12.05 |
Most Adaptive and Intelligent Web-based Educational Systems (AIWBES) use tasks in order to collect evidence for inferring knowledge states and adapt the learning process appropriately. To this end, it is important to determine the difficulty of tasks posed to the student. In most situations, difficulty values are directly provided by one or more persons. In this paper we explore the relationship between task difficulty estimations made by two different types of individuals, teachers and students, and compare these values with those estimated from experimental data. We have performed three different experiments with three different real student samples. All these experiments have been done using the SIETTE web-based assessment system. We conclude that heuristic estimation is not always the best solution and claim that automatic estimation should improve the performance of AIWBES.