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DC Field | Value | Language |
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dc.contributor.author | Somakeerthi, D. C. S | - |
dc.contributor.author | De Silva, G. W. I. U | - |
dc.contributor.author | De Silva, L. D. T | - |
dc.contributor.author | Chandrasiri, S | - |
dc.contributor.author | Joseph, J. K | - |
dc.date.accessioned | 2022-05-27T10:48:01Z | - |
dc.date.available | 2022-05-27T10:48:01Z | - |
dc.date.issued | 2020-12-10 | - |
dc.identifier.citation | D. C. Savindya Somakeerthi, G. W. I. Udani De Silva, L. D. Thenu De Silva, S. Chandrasiri and J. K. Joseph, "Amazon Biology: An Augmented Reality-Based E-Book for Biology," 2020 2nd International Conference on Advancements in Computing (ICAC), 2020, pp. 1-6, doi: 10.1109/ICAC51239.2020.9357165. | en_US |
dc.identifier.isbn | 978-1-7281-8412-8 | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/2512 | - |
dc.description.abstract | Biology is a conventionally struggling subject to learn from both high school and college students due to its complexity. Students are used to learning Biology from various methods such as reading textbooks, attending lectures. Biology is based on more practical and most of the schools not available proper lab facilities, anatomic structures, and resources to learn the module easily. And teachers who teach the module face a considerable number of issues when delivering the concepts. Some of them face unavailability of teaching aids, time-consuming, lack of lecture materials. Apart from that, the nature of the topic and the teaching style are the main learning problems faced by the students. Therefore, students do not learn the concepts perfectly and interest in the module has been reduced day by day. To overcome these difficulties “Amazon Biology,” mobile application has been proposed. The application consists of three major modules including image processing for the plant classification, augmented reality for human anatomy, and gamification. The proposed application has used the techniques in augmented reality and game-based learning. The developed system delivers nearly 85% level of accuracy and provides more advantages for students. They are effective and efficient learning, teaching via visual materials, and practical. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 2020 2nd International Conference on Advancements in Computing (ICAC);Vol1 Pages 1-6 | - |
dc.subject | Amazon Biology | en_US |
dc.subject | Augmented | en_US |
dc.subject | Reality-Based | en_US |
dc.subject | E-Book | en_US |
dc.subject | Biology | en_US |
dc.title | Amazon Biology: An Augmented Reality-Based E-Book for Biology | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICAC51239.2020.9357165 | en_US |
Appears in Collections: | Research Papers - SLIIT Staff Publications |
Files in This Item:
File | Description | Size | Format | |
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Amazon_Biology_An_Augmented_Reality-Based_E-Book_for_Biology.pdf Until 2050-12-31 | 714.27 kB | Adobe PDF | View/Open Request a copy |
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