Comparing Google Lens Recognition Accuracy with Other Plant Recognition Apps

Zhanna Bilyk, Yevhenii Shapovalov, Viktor Shapovalov, Anna Megalinska, Sergey Zhadan, Fabian Andruszkiewicz, Agnieszka Dołhańczuk-Śródka, Pavlo Antonenko

Abstract

Motivation students by providing personalized researches and using IT during classes is relevant in the frame of STEM approach of education. However, there is a lack of researches devoted to the justification of these approaches. The aim of the research is justifying of the choosing of AR-plant recognition application choosing to provide personalized during both, educational process at school and extracurricular activities. All apps were analyzed and characterized by all processes of interaction of the app with the user. In addition, social environments of the apps and their usage during extracurricular activities described. The didactics of usage of AR-recognition apps on biology classes have been described. To provide usability analysis, a survey of experts on digital education on installation simplicity, level of friendliness of the interface, and correctness of picture processing was conducted. To evaluate the rationality of usage, apps were analyzed on the accuracy of plants recognition of the ``Dneprovskiy district of Kiev'' list. It is proven that Google Lens is most recommended to use. Taking to account results of the analysis, as alternative Seek or Flora Incognita; however, these apps were characterized by lower accuracy.

Download


Paper Citation


in Harvard Style

Bilyk Z., Shapovalov Y., Shapovalov V., Megalinska A., Zhadan S., Andruszkiewicz F., Dołhańczuk-Śródka A. and Antonenko P. (2020). Comparing Google Lens Recognition Accuracy with Other Plant Recognition Apps. In Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET, ISBN 978-989-758-558-6, pages 20-33. DOI: 10.5220/0010928000003364


in Bibtex Style

@conference{aet20,
author={Zhanna Bilyk and Yevhenii Shapovalov and Viktor Shapovalov and Anna Megalinska and Sergey Zhadan and Fabian Andruszkiewicz and Agnieszka Dołhańczuk-Śródka and Pavlo Antonenko},
title={Comparing Google Lens Recognition Accuracy with Other Plant Recognition Apps},
booktitle={Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET,},
year={2020},
pages={20-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010928000003364},
isbn={978-989-758-558-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET,
TI - Comparing Google Lens Recognition Accuracy with Other Plant Recognition Apps
SN - 978-989-758-558-6
AU - Bilyk Z.
AU - Shapovalov Y.
AU - Shapovalov V.
AU - Megalinska A.
AU - Zhadan S.
AU - Andruszkiewicz F.
AU - Dołhańczuk-Śródka A.
AU - Antonenko P.
PY - 2020
SP - 20
EP - 33
DO - 10.5220/0010928000003364