Noncommutative self-identity aggregation
Fuzzy Sets and Systems
Delivering hints in a dialogue-based intelligent tutoring system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Contributions to the theory of rough sets
Fundamenta Informaticae
Interval-Set Algebra for Qualitative Knowledge Representation
ICCI '93 Proceedings of the Fifth International Conference on Computing and Information
ADVISOR: A Machine Learning Architecture for Intelligent Tutor Construction
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Limitations of Student Control: Do Students Know When They Need Help?
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Designing an Ontology-Based Intelligent Tutoring Agent with Instant Messaging
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Domain-Knowledge Manipulation for Dialogue-Adaptive Hinting
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
An intelligent tutoring system for visual classification problem solving
Artificial Intelligence in Medicine
Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains Modalities
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
A comparative analysis of cognitive tutoring and constraint-based modeling
UM'03 Proceedings of the 9th international conference on User modeling
Partial orderings for ranking help functions
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Quantitative weights and aggregation
IEEE Transactions on Fuzzy Systems
| Hi-index | 0.00 |
Ranking of help functions with respect to their usefulness is in the main focus of this work. A help function is regarded as useful to a student if the student has succeeded to solve a problem after using it. Methods from the theory of partial orderings are further applied facilitating an automated process of suggesting individualised advises on how to proceed in order to solve a particular problem. The decision making process is based on the common assumption that if given a choice between two alternatives, a person will choose one. Thus, obtained partial orderings appeared to be all linear orders since each pair of alternatives is compared. In this paper, we propose ranking help functions in an intelligent tutoring system with respect to their usefulness.