Development of an Artificial Intelligence-Based Mobile Application Platform: Evaluation of Prospective Science Teachers' Project on Creating Virtual Plant Collections in terms of Plant Blindness and Knowledge.
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| Title: | Development of an Artificial Intelligence-Based Mobile Application Platform: Evaluation of Prospective Science Teachers' Project on Creating Virtual Plant Collections in terms of Plant Blindness and Knowledge. |
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| Authors: | Ceylan, Berkay1 berkayceylan150@gmail.com, Karakuş, Melek Altıparmak1 |
| Source: | International Journal of Technology in Education & Science. 2024, Vol. 8 Issue 4, p668-688. 21p. |
| Subject Terms: | *Reading mobile apps, *Mobile apps in education, *Science teachers, Plant identification, Artificial intelligence in education |
| Abstract: | This research aims to investigate the use of an artificial intelligence-based mobile application with plants and plant identification techniques (AImPLANT) with prospective science teachers in outdoor activities. The goals of the study are: i) to develop an AI-based mobile application from scratch based customized for education ii) to enhance knowledge about common plants iii) to increase awareness of plants, animals, and the natural environment, offering solutions to reduce plant blindness iv) to support outdoor activities to observe, identify and taxonomically determine specific characteristics of plants (endemic, economic, health, aesthetic etc.) v) guide students creating an individual virtual herbarium. The research will achieve the expected goals by coding an original "AI-Based Mobile Application" using ChatGPT and PlantNet APIs through technologies like Flutter, Firebase, Firestore, involving approximately 3200 lines of code. The mobile application includes components such as an "Plant collection (herbarium) project module", "AI-based chatbot", "AI-based plant identification module", "AIbased student assessment module", and a "Student assistance section". The application provides guidance in creating virtual plant collections (herbariums). Additionally, aids by the "help module" and "chatbot". Furthermore, an AI-based "self-assessment module" evaluates like a teacher based on the answers. The research question and sub problems were based on prospective science teachers' knowledge about plant identification and taxonomy, plant blindness, and opinions on studying with artificial intelligence outdoors with common plant species. The research, once again showed that artificial intelligence facilitates teaching biology, increases academic success, has positive contributions to eliminating plant blindness, and reduces teacher candidates' concerns about artificial intelligence and affects their opinions positively. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Technology in Education & Science is the property of International Journal of Technology in Education & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 183668847 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of an Artificial Intelligence-Based Mobile Application Platform: Evaluation of Prospective Science Teachers' Project on Creating Virtual Plant Collections in terms of Plant Blindness and Knowledge. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ceylan%2C+Berkay%22">Ceylan, Berkay</searchLink><relatesTo>1</relatesTo><i> berkayceylan150@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Karakuş%2C+Melek+Altıparmak%22">Karakuş, Melek Altıparmak</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Technology+in+Education+%26+Science%22">International Journal of Technology in Education & Science</searchLink>. 2024, Vol. 8 Issue 4, p668-688. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Reading+mobile+apps%22">Reading mobile apps</searchLink><br />*<searchLink fieldCode="DE" term="%22Mobile+apps+in+education%22">Mobile apps in education</searchLink><br />*<searchLink fieldCode="DE" term="%22Science+teachers%22">Science teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+identification%22">Plant identification</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+in+education%22">Artificial intelligence in education</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This research aims to investigate the use of an artificial intelligence-based mobile application with plants and plant identification techniques (AImPLANT) with prospective science teachers in outdoor activities. The goals of the study are: i) to develop an AI-based mobile application from scratch based customized for education ii) to enhance knowledge about common plants iii) to increase awareness of plants, animals, and the natural environment, offering solutions to reduce plant blindness iv) to support outdoor activities to observe, identify and taxonomically determine specific characteristics of plants (endemic, economic, health, aesthetic etc.) v) guide students creating an individual virtual herbarium. The research will achieve the expected goals by coding an original "AI-Based Mobile Application" using ChatGPT and PlantNet APIs through technologies like Flutter, Firebase, Firestore, involving approximately 3200 lines of code. The mobile application includes components such as an "Plant collection (herbarium) project module", "AI-based chatbot", "AI-based plant identification module", "AIbased student assessment module", and a "Student assistance section". The application provides guidance in creating virtual plant collections (herbariums). Additionally, aids by the "help module" and "chatbot". Furthermore, an AI-based "self-assessment module" evaluates like a teacher based on the answers. The research question and sub problems were based on prospective science teachers' knowledge about plant identification and taxonomy, plant blindness, and opinions on studying with artificial intelligence outdoors with common plant species. The research, once again showed that artificial intelligence facilitates teaching biology, increases academic success, has positive contributions to eliminating plant blindness, and reduces teacher candidates' concerns about artificial intelligence and affects their opinions positively. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Technology in Education & Science is the property of International Journal of Technology in Education & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.46328/ijtes.595 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 668 Subjects: – SubjectFull: Reading mobile apps Type: general – SubjectFull: Mobile apps in education Type: general – SubjectFull: Science teachers Type: general – SubjectFull: Plant identification Type: general – SubjectFull: Artificial intelligence in education Type: general Titles: – TitleFull: Development of an Artificial Intelligence-Based Mobile Application Platform: Evaluation of Prospective Science Teachers' Project on Creating Virtual Plant Collections in terms of Plant Blindness and Knowledge. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ceylan, Berkay – PersonEntity: Name: NameFull: Karakuş, Melek Altıparmak IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 26515369 Numbering: – Type: volume Value: 8 – Type: issue Value: 4 Titles: – TitleFull: International Journal of Technology in Education & Science Type: main |
| ResultId | 1 |
