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Gauging the Student Learning Experience of a Mobile Application Using iBeacon Technology

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Advances in Physical Ergonomics & Human Factors (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 789))

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Abstract

Innovative technology has been revolutionizing the educational experience in tertiary institutions over the past decades. Using novel iBeacon Technology, a mobile application called “iClassPolyU” was developed for collecting and disseminating information to and from students. The application was employed in four medium to large classrooms and the user experience was evaluated through a survey. Usage of the application was examined through quiz completion and usage rates. Results showed that each class had a quiz completion rate of over 80%. Moreover, students believed that their physical participation could be enhanced by the application and that it was effective, easy to use, and flexible. Students proposed the inclusion of mixed reality, virtual reality, and augmented reality in the future. This type of technology provides another pathway for student learning, an opportunity to give students more control over their learning, and educators with more information regarding their students.

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Acknowledgments

This project was supported in part by “New Mobile Learning Scenarios Enabler - Development of Location-based Driven Application for Innovative and Technology-assisted Teaching and Learning Using iBeacon Technology” from the eLearning and Blended Learning Development Fund 2014-17, the Hong Kong Polytechnic University, Hong Kong; and “Augmenting Physical Learning Spaces with Location-based Services Using iBeacon Technology for Engaging Learning Experiences”, UGC Funding Scheme for Teaching and Learning Related Proposals (2016-19 Triennium), University Grants Committee, Hong Kong.

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Correspondence to Man Sing Wong .

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Sheen, K.A., Wong, M.S., Kam, R., Kwok, C.Y.T., Lu, K. (2019). Gauging the Student Learning Experience of a Mobile Application Using iBeacon Technology. In: Goonetilleke, R., Karwowski, W. (eds) Advances in Physical Ergonomics & Human Factors. AHFE 2018. Advances in Intelligent Systems and Computing, vol 789. Springer, Cham. https://doi.org/10.1007/978-3-319-94484-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-94484-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94483-8

  • Online ISBN: 978-3-319-94484-5

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