Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
A Survey on Case-Based Planning
Artificial Intelligence Review
IEEE Transactions on Knowledge and Data Engineering
On the Role of Abstraction in Case-Based Reasoning
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
The Knowledge Engineering Review
Case-based reasoning foundations
The Knowledge Engineering Review
Problem-based learning meets case-based reasoning
ICLS '96 Proceedings of the 1996 international conference on Learning sciences
Examining the pedagogical foundations of modern educational computer games
Computers & Education
Case-Based Plan Adaptation: An Analysis and Review
IEEE Intelligent Systems
Integrating Case-Based Reasoning and Meta-Learning for a Self-Improving Intelligent Tutoring System
International Journal of Artificial Intelligence in Education
Building and refining abstract planning cases by change of representation language
Journal of Artificial Intelligence Research
Stratified case-based reasoning: reusing hierarchical problem solving episodes
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Opportunities for CBR in learning by doing
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Analysis and modeling of individual competencies: toward better management of human resources
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Journal of Intelligent Manufacturing
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In this paper, we present a model for competency development using serious games, which is underpinned by a hierarchical case-based planning strategy. In our model, a learner's objectives are addressed by retrieving a suitable learning plan in a two-stage retrieval process. First of all, a suitable abstract plan is retrieved and personalised to the learner's specific requirements. In the second stage, the plan is incrementally instantiated as the learner engages with the learning material. Each instantiated plan is composed of a series of stories - interactive narratives designed to improve the learner's competence within a particular learning domain. The sequence of stories in an instantiated plan is guided by the planner, which monitors the learner performance and suggests the next learning step. To create each story, the learner's competency proficiency and performance assessment history are considered. A new story is created to further progress the plan instantiation. The plan succeeds when the user consistently reaches a required level of proficiency. The successful instantiated plan trace is stored in an experience repository and forms a knowledge base on which introspective learning techniques are applied to justify and/or refine abstract plan composition.