Implementation a Context-Aware Plant Ecology Mobile Learning System

Chih-Chiang Wang, Chia-Lun Lo, Ming-Ching Hsu, Chih-Yung Tsai and Chun-Ming Tsai

SAGE Open, 2020, vol. 10, issue 2, 2158244020920701

Abstract: Mobile devices are becoming ubiquitous methodologies and tools, providing application for learning and teaching field. On the basis of the widespread use of wireless devices and mobile computing technology, this study proposes a context-aware plant ecology learning system (CAPELS) based on context-aware technology; adapting deep neural networks (DNN) and leaf vein and shape identification algorithm which can identify plant leaves, this system automatically provides relevant botanical and growth environment knowledge to the learners. Therefore, during outdoor education, it can assist learners in accurately obtaining the required relevant botanical and growth environment knowledge. The experimental results indicate that students who used CAPELS performed better learning about plant ecology than those who did not. We also delivered questionnaires to those who used CAPELS and analyzed the results by using the partial least squares (PLS) method. The results have shown that CAPELS can encourage student’s learning motivation and thus improve their learning effectiveness. Thus, CAPELS provides a new educational platform for promoting ecology learning approach and effectively improves student learning efficiency and motivation.

Keywords: plant ecology; mobile learning; context-aware; image judgment; learning effectiveness (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/2158244020920701 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:10:y:2020:i:2:p:2158244020920701

DOI: 10.1177/2158244020920701

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().