Modeling assessment for re-use of traditional and new types of assessment
Computers in Human Behavior
An Algebra Subsystem for Diagnosing Students' Input in a Physics Tutoring System
International Journal of Artificial Intelligence in Education
DIANE, a diagnosis system for arithmetical problem solving
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Automatic calculation of students' conceptions in elementary algebra from aplusix log files
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Semantic Web Technologies for supporting learning assessment
Information Sciences: an International Journal
A semantic platform for the management of the educative curriculum
Expert Systems with Applications: An International Journal
Evaluating the performance of a diagnosis system in school algebra
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
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This paper deals with authoring assessments of complex competence involving open-ended questions. We present, PépiGen, a multi-criteria automatic assessor for school algebra, via a walkthrough of an example. PépiGen is based on our previous work on Pépite, an automatic cognitive diagnosis tool that capitalizes on educational research results. From that prototype, we derived patterns of diagnosis tasks. A pattern models (i) a class of exercises, (ii) the different students' points of view on the solutions reported in the literature or observed in a corpus, (iii) and a multidimensional assessment for each solution approach. To adapt an assessment to a specific classroom context (e.g. level of difficulty, time, learning objectives) an interface allows an IT non expert (e.g. a teacher) to generate new instances of exercises by filling the pattern parameters. The originality of our research lies in the fact that our system generates the automatic analysis of students' simple or complex answers, such as algebraic reasoning. This is an ongoing work but preliminary evaluation shows that PépiGen is already successful in generating and analyzing most answers on several classes of problems.