Designing Mangrove Ecology Self-Learning Application Based on a Micro-Learning Approach

Authors

  • Supaporn Chai-Arayalert Prince of Songkla University
  • Supattra Puttinaovarat Prince of Songkla University

DOI:

https://doi.org/10.3991/ijet.v15i11.12585

Keywords:

Micro-learning, Design thinking, Mnagrove ecology

Abstract


the development of a mangrove ecology self-learning application integrates the advantages of mobile-based learning and the benefits of micro-learning into the virtual learning of mangrove ecology. The system was designed based on a case study in the Leeled mangrove forest, Thailand and encour-ages young learners to understand the value of mangrove forests, and to help to preserve them. The system developed uses a virtual learning environment and accommodates young learner’s behaviours, favouring micro-learning with the content organized into the learning units which take a maximum of 15 minutes to complete. The application therefore allows the learning to be integrated into the learners’ daily activities and can contribute to their life-long learning. It allows learners to conduct self-learning and gain experience from performance in a virtual environment which simulates a real mangrove forest. This approach is better suited to the needs of present day young peo-ple than traditional approaches to environmental education.

Author Biographies

Supaporn Chai-Arayalert, Prince of Songkla University

Supaporn Chai-Arayalert is a lecturer in the Department of Applied Mathe-matics and Information Systems within the Faculty of Science and Industrial Technology at Prince of Songkla University, Thailand. Her current research in-terests include knowledge management, Green IT, IT project management, e-commerce, and business information systems.

Supattra Puttinaovarat, Prince of Songkla University

Supattra Puttinaovarat is an assistant professor at Faculty of Science and In-dustrial Technology, Prince of Songkla University, Surat Thani Campus. Her research interest includes Geographic Information System, Remote Sensing and Information Technology.

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Published

2020-06-12

How to Cite

Chai-Arayalert, S., & Puttinaovarat, S. (2020). Designing Mangrove Ecology Self-Learning Application Based on a Micro-Learning Approach. International Journal of Emerging Technologies in Learning (iJET), 15(11), pp. 29–41. https://doi.org/10.3991/ijet.v15i11.12585

Issue

Vol. 15 No. 11 (2020)

Section

Papers

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