Results 271 to 280 of about 2,484,675 (313)

The Design and Implementation of Case-Based Learning in Adaptive Learning

2009 International Conference on Scalable Computing and Communications; Eighth International Conference on Embedded Computing, 2009
The development of information technology brought a new prospect for the network study, the adaptive learning has been possible to meet learner’s individual requirements. The case-based learning may provide the simulation situation for the learner, but the adaptive learning takes on the both superiority of the Case-based Learning and simulation ...
Keji Mao, Jian Wu, Qingzhang Chen
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Case-Based Reasoning in Transfer Learning

2009
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performance and/or learning on a different (target) task. TL methods are typically complex, and case-based reasoning can support them in multiple ways.
David W. Aha, Matthew Molineaux, Gita Sukthankar   +2 more
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Case-based learning mechanisms to deliver learning materials

2004 International Conference on Machine Learning and Applications, 2004. Proceedings., 2005
In this paper, we discuss an integrated framework of case-based learning (CBL) in an agent that intelligently delivers learning materials to students. The agent customizes its delivery strategy for each student based on the student's background profile and his or her interactions with the graphic user interface (GUI) to our system, and based on the ...
Todd Blank, Leen-Kiat Soh, Lee Dee Miller, Suzette Person   +3 more
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Case-based design and learning in telecommunications

Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1, 1989
Design has been one of the most difficult problems that Artificial Intelligence has faced until now. Design knowledge is almost impossible to gather and put into rules or other structured reasoning tool, and studies of human expert designers have shown that often the design process seems ad hoc and based on “intuition”.
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Case-based learning in inductive inference

Proceedings of the fifth annual workshop on Computational learning theory, 1992
There is proposed a formalization of case-based learning in terms of recursion-theoretic inductive inference. This approach is directly derived from some recently published case-based learning algorithms. The intention of the present paper is to exhibit the relationship between case-based learning and inductive inference and to specify this relation ...
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An Implementation of a Case-Based Learning System

2006
Learning programming is an important part of learning and teaching of computer science. Case-based learning is becoming more and more welcomed by students when learning programming. Since there is no easy-to-use dynamic case generating system, to generate dynamic cases costs a lot of work, and is difficult to be reused.
Liu Yintao 0005, Zheng Li, Yang Fang, Li Li   +3 more
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Case-Based Learning

This chapter explores the power of Case-based learning (CBL) as a transformative pedagogical approach within business education. CBL fosters the development of critical thinking, problem-solving, communication, collaboration, and ethical decision-making—all crucial skills for success in the modern business world.
Ramakrishnan Ramachandran, Sruthi Pillai
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Case-Based Learning

1993
Introduction J.L. Kolodner. Indexing, Elaboration and Refinement: Incremental Learning of Explanatory Cases A. Ram. Derivational Analogy in PRODIGY: Automated Case Acquisition, Storage and Utilization M.M. Veloso, J.G. Carbonell. Opportunism and Learning K. Hammond, T. Converse, M. Marks, C.M. Seifert. Integrating Feature Extraction and Memory Search C.
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Learning to Adapt for Case-Based Design

2002
Design is a complex open-ended task and it is unreasonable to expect a case-base to contain representatives of all possible designs. Therefore, adaptation is a desirable capability for case-based design systems, but acquiring adaptation knowledge can involve significant effort.
Nirmalie Wiratunga, Susan Craw, Ray Rowe
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Fibromyalgia Syndrome: Case-Based Learning

CNS Spectrums, 2009
Case-based learning is often considered a new innovation in medical teaching, but it is actually as old as clinical medicine. Physicians have always consulted with their peers on difficult cases and utilized the case-based form of discussion as an educational tool, as a means of understanding new diagnoses, and as a method of determining the best ...
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