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Animating eco-education: To see, feel, and discover in an augmented reality-based experiential learning environment
ARTICLE

, Department of Information Management ; , Department of Management Information Systems ; , Department of Information Management

Computers & Education Volume 96, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

An antagonistic relationship is traditionally seen as existing between eco-education and technology, with conventional instructional approaches usually characterized by a commentator guiding students in field learning. Unfortunately, in this passive learning approach, the discovery of rich ecological resources in eco-environments to stimulate positive emotions and experiences is often condensed into a “sightseeing”. Therefore, precise and systematic guidance focused on providing a rich learning experience is needed in field learning and eco-education. Based on Kolb's experiential learning theory, the current study develops an eco-discovery AR-based learning model (EDALM) which is implemented in an eco-discovery AR-based learning system (EDALS). In a field experiment at a botanical garden, 21 middle school students constitute three groups participated in a learning activity using different learning types and media. Quantitative results indicate that, compared to the human-guidance-only model, EDALS successfully stimulates positive emotions and improved learning outcomes among learners. In post-activity interviews, students indicated they found the exploration mode provided by the proposed system to be more interesting and helpful to their learning in school. The use of attractive technologies increase students' willingness not only to learn more about the environment, but also to develop a more positive emotional attachment to it.

Citation

Huang, T.C., Chen, C.C. & Chou, Y.W. (2016). Animating eco-education: To see, feel, and discover in an augmented reality-based experiential learning environment. Computers & Education, 96(1), 72-82. Elsevier Ltd. Retrieved November 17, 2019 from .

This record was imported from Computers & Education on January 29, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2016.02.008

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