The Unified Modeling Language user guide
The Unified Modeling Language user guide
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Adaptation of cases for case based forecasting with neural network support
Soft computing in case based reasoning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Adaption Knowledge Bottleneck: How to Ease it by Learning from Cases
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Methods of case adaptation: A survey: Research Articles
International Journal of Intelligent Systems
A Situated Learning Perspective on Learning Object Design
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Object-Oriented Software Engineering: Using UML, Patterns and Java, Second Edition
Object-Oriented Software Engineering: Using UML, Patterns and Java, Second Edition
Learning adaptation knowledge to improve case-based reasoning
Artificial Intelligence
Expert Systems with Applications: An International Journal
Hybrid multi-agent architecture as a real-time problem-solving model
Expert Systems with Applications: An International Journal
Price information evaluation and prediction for broiler using adapted case-based reasoning approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Both problem-oriented learning and case-based learning are effective methods for practical knowledge development. However, an automatic development of learning cases for adaptive learning is still an open issue. To support adaptive case-based learning in a proposed problem-oriented e-learning (POeL) environment and to address the complexity and diversity of the learning problems of students with mild disabilities, this study presents a learning case adaptation framework to support problem-oriented e-learning. This framework provides mechanisms to search and match similar learning cases according to encountered teaching problems by information retrieval techniques and to develop an adaptive learning case by adaptation techniques. Adaptation techniques include a substitution technique, a removal technique, and a composition technique, and utilize cosine-measure and genetic algorithm. In this research, adaptive learning cases were developed for teaching students with mild disabilities so as to assist regular and special education teachers to develop practical knowledge of teaching more effectively.