The Research on the Application of Plant Identification and Mobile Learning APP based on Expert System

Cixiao Wang

Abstract

As the development of mobile internet and the improvement of software and hardware facilities, expert system expands its field in mobile applications. The identification and learning of plants is an important part of biology in middle school. Outdoor experiential teaching is an effective way to improve the students' learning effect. Based on the production rules expert systems, this study developed plant identification and learning mobile app based on Android platform. This study applied the app into the outdoor mobile learning and used the education experiment and classroom observation method to do research by the use of software, attitude of using software, learning satisfaction learning and attitude towards science four dimensions. And the analysis of the difference between the population statistics and the application of mobile learning experience, verify that the system has a positive effect on the students' learning attitude and the degree of satisfaction with the outdoor experiential teaching.

References

  1. Chen Q., Chen Y. F., Liu H., research status and Prospect of 2014 plant identification methods. World forestry research, 18-23.
  2. Chu, H. C., Hwang, G. J., Tsai, C. C., Tseng, J. C. R., 2010. A two-tier test approach to developing locationaware mobile learning systems for natural science courses. COMPUT EDUC 55, 1618-1627.
  3. Fu G. S., Li T, mobile learning model based on expert system in the 2010 3G era.
  4. Golumbic, M. C., Markovich, M., Tsur, S., Schild, U. J., 1986. A Knowledge-Based Expert System for Student Advising. IEEE T EDUC e-29, 120-124.
  5. Hou X. D, Zheng M, G. E. JW, 2012 how to arouse students' interest in plant biology. Journal of biology, 105-107.
  6. Huang, Y., Lin, Y., Cheng, S., 2010. Effectiveness of a Mobile Plant Learning System in a science curriculum in Taiwanese elementary education. COMPUT EDUC 54, 47-58.
  7. Hwang, G. J., Wu, P. H., Ke, H. R., 2011. An interactive concept map approach to supporting mobile learning activities for natural science courses. COMPUT EDUC 57, 2272-2280.
  8. Jia J. Y., 2009 educational technology and artificial intelligence. Jilin University press.
  9. Pandit, M., 2013. Expert System-A Review Article . International Journal of Engineering Sciences & Research Technology 2.
  10. Shi Z. Z., 2011 advanced artificial intelligence. Science Press.
  11. Xu T. Y., Jiang X. J., 2011. The application of artificial intelligence based on expert system in the field of education. Science and technology information, 31-55.
  12. Xu Y. H, Xie C. P., Nan C. H, 2015 research on the practice teaching system of identification and identification of forest plants -- Taking campus plant scene teaching as an example. Journal of biology, 106- 109.
  13. Zhang Y. D, Wu L. N., development of 2010 expert system. Computer engineering and application, 43-47.
  14. Zhu L. C., the application and development trend of 2012 expert system in distance education. Journal of Hebei Radio and TV University, 26-28.
Download


Paper Citation


in Harvard Style

Wang C. (2017). The Research on the Application of Plant Identification and Mobile Learning APP based on Expert System . In Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-240-0, pages 332-339. DOI: 10.5220/0006313103320339


in Bibtex Style

@conference{csedu17,
author={Cixiao Wang},
title={The Research on the Application of Plant Identification and Mobile Learning APP based on Expert System},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2017},
pages={332-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006313103320339},
isbn={978-989-758-240-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - The Research on the Application of Plant Identification and Mobile Learning APP based on Expert System
SN - 978-989-758-240-0
AU - Wang C.
PY - 2017
SP - 332
EP - 339
DO - 10.5220/0006313103320339