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Author: Cixiao Wang

Affiliation: Peking University, China

Keyword(s): Expert System, Plant Identification, Mobile Learning, Application Research, Outdoor Teaching.

Related Ontology Subjects/Areas/Topics: Computer-Supported Education ; e-Learning ; e-Learning Hardware and Software ; Information Technologies Supporting Learning ; Mobile Information Systems ; Mobile Learning ; Ubiquitous Learning ; Web Information Systems and Technologies

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 exper iential teaching. (More)

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Paper citation in several formats:
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; ISSN 2184-5026, SciTePress, pages 332-339. DOI: 10.5220/0006313103320339

@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},
issn={2184-5026},
}

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
IS - 2184-5026
AU - Wang, C.
PY - 2017
SP - 332
EP - 339
DO - 10.5220/0006313103320339
PB - SciTePress

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