Researching of Intelligence Test Paper Generation Software based on Improved Genetic Algorithm in Java Program Design Teaching
Authors
Qiufang Ma, Hao Pan
Corresponding Author
Qiufang Ma
Available Online May 2017.
- DOI
- 10.2991/icmeit-17.2017.43How to use a DOI?
- Keywords
- java program design, genetic algorithm, intelligent test paper generation
- Abstract
Editing test papers is a very heavy mental labor. Aiming to improve the teaching effect of Java Program Design and realize the separation of teaching and test, the intelligent test paper generation software based on improved genetic algorithm is designed. The software provides three generating methods based on guaranteeing the reasonable distribution of knowledge points. The teaching practice results demonstrate that the application of the software can improve teaching quality effectively, achieve standardization of test and promote the development of teachers.
- Copyright
- © 2017, 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 - Qiufang Ma AU - Hao Pan PY - 2017/05 DA - 2017/05 TI - Researching of Intelligence Test Paper Generation Software based on Improved Genetic Algorithm in Java Program Design Teaching BT - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017) PB - Atlantis Press SP - 232 EP - 235 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-17.2017.43 DO - 10.2991/icmeit-17.2017.43 ID - Ma2017/05 ER -