Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Performance support systems: integrating AI, hypermedia, and CBT to enhance user performance
Journal of Artificial Intelligence in Education
A Concurrent, Distributed Architecture for Diagnostic Reasoning
User Modeling and User-Adapted Interaction
Human Plausible Reasoning for Intelligent Help
User Modeling and User-Adapted Interaction
Proceedings of HCI International (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Ergonomics and User Interfaces-Volume I - Volume I
A tutoring and student modelling paradigm for gaming environments
SIGCSE '76 Proceedings of the ACM SIGCSE-SIGCUE technical symposium on Computer science and education
Natural semantics in artificial intelligence
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Reasoning about users'actions in a graphical user interface
Human-Computer Interaction
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This paper describes an intelligent learning environment for novice users of a GUI. The learning environment allows users to work in a protected way; it monitors their actions and reasons about them so that it can make hypotheses about what their real intentions have been and examine whether these have been met. In case the system believes that the user has made an error it informs him/her about the error and suggests alternative actions that would have met his/her real intentions. In this way, a novice user can learn from his/her mistakes. The system performs student modelling which is based on an adaptation and implementation of a cognitive theory called Human Plausible Reasoning. The theory is used to simulate a novice user's correct or incorrect thinking as long as this is plausible according to the theory.