PetalsPalette: Blossoming Knowledge by Bridging Technology and Nature through Augmented Reality Learning Application for Flower Identification

Abstract

This study focuses on learning different types of flowers using augmented reality (AR), which overlays digital content onto the physical environment. Studies regarding flowers or botanical species are complicated by a lack of adequate resources and tools, which puts barriers in place for educators and students who want to engage with the learning content. Current conventional methods of learning are not enough since some of the content may need further visualization of the real species or characteristics. Even though technological tools might be available, without necessary features and resources, particularly for visualization, the use will only be more distracting than helpful. Furthermore, providing an engaging user experience is crucial to ensure that learners effectively absorb the material. Our preliminary investigation has successfully validated the problem statement concerning lack of information and knowledge about flowers, which involves students in UiTM and educators. Thus, PetalsPalette, an AR application, was developed to provide opportunities for learners to learn about flowers through an AR which has been proven effective for learning. Five phases of methodology have been used, namely requirement analysis, design, implementation, testing, and maintenance. In the conducted testing, 33 respondents found that the PetalsPalette application is highly attractive, simple to understand, efficient, dependable, stimulating, and novel. PetalsPalette successfully enhanced flower identification for UiTM students through an AR-based mobile application. Future work aims to improve device compatibility and advance AR capabilities to create more inclusive and adaptable applications.