Students in civil engineering and mechanical engineering fields may find the concepts of fluid mechanics abstract and have difficulty in grasping the real phenomena. Innovative learning methodologies are necessary to help arouse their interest. Yet, many web-based learning sites have common weaknesses including information being laid out basically in a textbook format and the lack of interaction. This paper delineates the development and implementation of a web-based interactive teaching package for diagnostic assessment on learning of fluid mechanics with an expert system approach, by employing the latest knowledge-based system technology and web production software. For each scenario of prompted answer from the learner, diagnostic assessment is performed by the system to determine the most probable shortfall or misconception of the specific learner on that particular topic. The package provides an opportunity of stimulating pedagogical environment to take care of engineering students in self-directed learning through interaction, application, and reflection.
|Number of pages||10|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Publication status||Published - 1 Dec 2003|
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)