Construction of Teaching Assisted Expert System in Engineering Training
- DOI
- 10.2991/iccset-14.2015.108How to use a DOI?
- Keywords
- expert system, knowledge representation, knowledge base, inference engine, engineering training
- Abstract
Due to diversity of engineering training knowledge, complexity of its practitioners’ needs, and low efficiency for an individual instructor to guide students, this paper proposes a new type of assisted teaching system based on expert system. It first elaborates the structure and significance of the system, then analyses knowledge representation which combines framework and productive representation. It also designs a corresponding knowledge base and specific examples are given. On this basis this paper proposes the specific reasoning process based on database and expounds the components of the system and its designing methods. In contemporary world, with the rapid growth of information age and artificial intelligence, the reform of higher education is inevitable. [1] “The Long-term education development Plan” (2010-2012) released by the Ministry of Education proposed new requirements for “informationization of the education”. As an important part of higher education, engineering training undertakes a large amount of student internship annually. Due to differences in students’ knowledge background, diverse practical problems occurred in internship, heavy workload and low efficiency for teachers’ guidance, the use of expert system in engineering training might be possible to promote students’ independent learning, broaden their horizon, and reduce teacher’s burden. To this end, the author constructed a new kind of Teaching Assisted Expert System in Engineering Training (TAESET).
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhi-gang Zhang PY - 2015/01 DA - 2015/01 TI - Construction of Teaching Assisted Expert System in Engineering Training BT - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 490 EP - 493 SN - 2352-538X UR - https://doi.org/10.2991/iccset-14.2015.108 DO - 10.2991/iccset-14.2015.108 ID - Zhang2015/01 ER -