Assessing Language through Computer Technology (Cambridge Language Assessment)
Assessing Language through Computer Technology (Cambridge Language Assessment)
SIETTE: A Web-Based Tool for Adaptive Testing
International Journal of Artificial Intelligence in Education
Student Knowledge Diagnosis Using Item Response Theory and Constraint-Based Modeling
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
AH-questionnaire: An adaptive hierarchical questionnaire for learning styles
Computers & Education
Student modeling for a web-based self-assessment system
Expert Systems with Applications: An International Journal
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In this work, we propose a computer-assisted method to improve the quality of the assessment process for subjects related to basic programming. We demonstrate, through numerical simulations and experiments with real students, that our models can be very useful when compared with traditional evaluation processes. The characteristics of our method improve the objectiveness, security and take into account the relevance of the subject contents. Results from this work can be directly used in computer-assisted tests for different subjects and disciplines. Even, some self-evaluation tools can be developed to be used by the students with the objective of correcting their deficiencies in the learning process if needed.