Case-based reasoning library for flexible learning

• Main Author: Zhang, Chuan Yu
• Other Authors: Ling Keck Voon
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/64471
• Institution: Nanyang Technological University

Students are to design and develop a case-based reasoning (CBR) library with a searchable engine. The CBR library will be developed by indexing the cases captured from interviews (provided to the student working on this project). Case-based reasoning can be applied in learning contexts through the collection, building, and indexing of case libraries. These stories are then accessed by learners while trying to solve a similar problem. In case-based reasoning, case libraries serve three functions: recalling old experiences, interpreting the new situation in terms of the old experience based on the lessons that we learned from the old experience, or adapting the old solution to meet the needs of the new situation. When the stories are indexed, they are more easily accessible and usable. In this report, the author will show the functions of the websites and explain how these functionalities are modified. This project investigates into the existing tools on building up databases, creating web search method and implementing several web build technologies.