Mind over machine: the power of human intuition and expertise in the era of the computer
Mind over machine: the power of human intuition and expertise in the era of the computer
Artificial intelligence and instruction: Applications and methods
Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Toward a theory of curriculum for use in designing intelligent instructional systems
Learning Issues for Intelligent Tutoring Systems
Socializing the intelligent tutor: bringing empathy to computer tutors
Learning Issues for Intelligent Tutoring Systems
Artificial intelligence and learning environments: preface
Artificial intelligence and learning environments
Cognitive modeling and intelligent tutoring
Artificial intelligence and learning environments
Causal model progressions as a foundation for intelligent learning environments
Artificial intelligence and learning environments
The hypertext/hypermedia solution—but what exactly is the problem?
Designing hypermedia for learning
Adapting instruction to the student's capabilities
Journal of Artificial Intelligence in Education
Journal of Computing and Information Technology
Critiquing Human Error: A Knowledge Based Human-Computer Collaboration Approach
Critiquing Human Error: A Knowledge Based Human-Computer Collaboration Approach
Computer
The goal structure of a socratic tutor
ACM '77 Proceedings of the 1977 annual conference
Artificial Intelligence Review
Modeling Content for Semantic-Level Querying of Multimedia
Multimedia Tools and Applications
EC-TEL '09 Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines
A hybrid user-centred recommendation strategy applied to repositories of learning objects
International Journal of Web Based Communities
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For successful teaching to take place an intelligenttutoring system has to be able to cope with anystudent errors that may occur during a tutoringinteraction. Remedial tutoring is increasingly viewedas a central part of the overall tutoring process, andrecent research calls for adaptive remedial tutoring. This paper discusses the issues of remedial tutoringthat have been proposed or implemented to supportefficient remedial tutoring. These issues serve touncover any underlying principles of remediation thatgovern remedial tutoring with intelligent tutoringsystems. In order to incorporate these principles ofremediation into intelligent tutoring systemsdevelopment processes this paper continues with thedevelopment of a model that can be employed in thedevelopment of an intelligent tutoring system that iscapable of offering remedial tutoring according tothese principles. This model is a formalisation ofremedial interventions with intelligent tutoringsystems. To demonstrate how the model can be employed indeveloping an intelligent tutoring system, INTUITION,the implementation of an existing business simulationgame, has been developed. This paper concludes with anillustration of how the model for remedial operationsprovides for remedial tutoring within INTUITION. Theevaluation of INTUITION shows that the model forremedial operations is a useful method for providingefficient remedial tutoring.