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http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3754Повний запис метаданих
| Поле DC | Значення | Мова |
|---|---|---|
| dc.contributor.author | Shapovalov, Viktor B. | - |
| dc.contributor.author | Shapovalov, Yevhenii B. | - |
| dc.contributor.author | Bilyk, Zhanna I. | - |
| dc.contributor.author | Megalinska, Anna P. | - |
| dc.contributor.author | Muzyka, Ivan O. | - |
| dc.date.accessioned | 2020-04-14T13:54:37Z | - |
| dc.date.available | 2020-04-14T13:54:37Z | - |
| dc.date.issued | 2020-02-09 | - |
| dc.identifier.citation | Shapovalov V. B. The Google Lens analyzing quality: an analysis of the possibility to use in the educational process [Electronic resource] / Viktor B. Shapovalov, Yevhenii B. Shapovalov, Zhanna I. Bilyk, Anna P. Megalinska, Ivan O. Muzyka // Augmented Reality in Education : Proceedings of the 2nd International Workshop (AREdu 2019), Kryvyi Rih, Ukraine, March 22, 2019 / Edited by : Arnold E. Kiv, Mariya P. Shyshkina. – P. 117-129. – (CEUR Workshop Proceedings (CEUR-WS.org), Vol. 2547). – Access mode : http://ceur-ws.org/Vol-2547/paper09.pdf | uk_UA |
| dc.identifier.issn | 1613-0073 | - |
| dc.identifier.uri | http://ceur-ws.org/Vol-2547/paper09.pdf | - |
| dc.identifier.uri | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/3754 | - |
| dc.identifier.uri | https://doi.org/10.31812/123456789/3754 | - |
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| dc.description.abstract | Biology is a fairly complicated initial subject because it involves knowledge of biodiversity. Google Lens is a unique, mobile software that allows you to recognition species and genus of the plant student looking for. The article devoted to the analysis of the efficiency of the functioning of the Google Lens related to botanical objects. In order to perform the analysis, botanical objects were classified by type of the plant (grass, tree, bush) and by part of the plant (stem, flower, fruit) which is represented on the analyzed photo. It was shown that Google Lens correctly identified plant species in 92.6% cases. This is a quite high result, which allows recommending this program using during the teaching. The greatest accuracy of Google Lens was observed under analyzing trees and plants stems. The worst accuracy was characterized to Google Lens results of fruits and stems of the bushes recognizing. However, the accuracy was still high and Google Lens can help to provide the researches even in those cases. Google Lens wasn’t able to analyze the local endemic Ukrainian flora. It has been shown that the recognition efficiency depends more on the resolution of the photo than on the physical characteristics of the camera through which they are made. In the article shown the possibility of using the Google Lens in the educational process is a simple way to include principles of STEM-education and “New Ukrainian school” in classes. | uk_UA |
| dc.language.iso | en | uk_UA |
| dc.publisher | Arnold E. Kiv, Mariya P. Shyshkina | uk_UA |
| dc.relation.ispartofseries | CEUR Workshop Proceedings;2547 | - |
| dc.subject | Google Lens | uk_UA |
| dc.subject | plant recognition | uk_UA |
| dc.subject | New Ukrainian school | uk_UA |
| dc.subject | STEM-education | uk_UA |
| dc.subject | augmented reality | uk_UA |
| dc.subject | digital education | uk_UA |
| dc.title | The Google Lens analyzing quality: an analysis of the possibility to use in the educational process | uk_UA |
| dc.type | Article | uk_UA |
| Розташовується у зібраннях: | Кафедра інформатики та прикладної математики | |
Файли цього матеріалу:
| Файл | Опис | Розмір | Формат | |
|---|---|---|---|---|
| paper09.pdf | article | 4.25 MB | Adobe PDF | Переглянути/Відкрити |
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