Experimentation in software engineering
IEEE Transactions on Software Engineering
Knowledge-based tutoring: the GUIDON program
Knowledge-based tutoring: the GUIDON program
Levels of questioning and forms of feedback: instructional factoars in courseware design
Journal of Computer Based Instruction
The empirical study of knowledge elicitation techniques
ACM SIGART Bulletin - Special issue on knowledge acquisition
SALT: a knowledge acquisition language for propose-and-revise systems
Artificial Intelligence
A survey of knowledge acquisition techniques and tools
Knowledge Acquisition
Concept learning and heuristic classification in weak-theory domains
Artificial Intelligence
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
Knowledge Acquisition - Special issue on knowledge acquisition for therapy-planning tasks
Task modeling with reusable problem-solving methods
Artificial Intelligence
Deriving expectations to guide knowledge base creation
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
Model-based reasoning about learner behaviour
Artificial Intelligence
International Journal of Human-Computer Studies
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
An integrated environment for knowledge acquisition
Proceedings of the 6th international conference on Intelligent user interfaces
Knowledge entry as the graphical assembly of components
Proceedings of the 1st international conference on Knowledge capture
Sketching for military courses of action diagrams
Proceedings of the 8th international conference on Intelligent user interfaces
Supporting plan authoring and analysis
Proceedings of the 8th international conference on Intelligent user interfaces
Constructing Knowledge-Based Systems
IEEE Software
Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Rapid Development of a High Performance Knowledge Base for Course of Action Critiquing
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Fading and Deepening: The Next Steps for Andes and other Model-Tracing Tutors
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Deriving Acquisition Principles from Tutoring Principles
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
The goal structure of a socratic tutor
ACM '77 Proceedings of the 1977 annual conference
Evaluating expert-authored rules for military reasoning
Proceedings of the 2nd international conference on Knowledge capture
Qualitative modeling in education
AI Magazine
Effective feedback content for tutoring complex skills
Human-Computer Interaction
Journal of Artificial Intelligence Research
Knowledge analysis on process models
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Explicit representations of problem-solving strategies to support knowledge acquisition
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Semantic information integration and question answering based on pervasive agent ontology
Expert Systems with Applications: An International Journal
Adaptive Tips for Helping Domain Experts
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Review: interactive knowledge capture in the new millennium: How the semantic web changed everything
The Knowledge Engineering Review
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This paper argues that interactive knowledge acquisition systems would benefit from a tighter and more thorough incorporation of tutoring and learning principles. Current acquisition systems learn from users in a passive manner, and could instead be designed to incorporate the proactive capabilities that one expects of a good student. We first describe our analysis of the literature on teacher-student interaction and present a compilation of tutoring and learning principles that are relevant to interactive knowledge acquisition systems. We then point out what tutoring and learning principles have been used to date in the acquisition literature, though unintentionally and implicitly, and discuss how a more thorough and explicit representation of these principles would help improve how computers learn from users. We present our design and an initial implementation of an acquisition dialogue system called SLICK that represents acquisition principles and goals explicitly and declaratively, making the system actively reason about various acquisition tasks and generate its interactions dynamically. Finally, we discuss promising directions in designing acquisition systems by structuring interactions with users according to tutoring and learning principles.