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Designing Technology-Based e-Learning for Adult Education in the Philippine Agriculture Sector: The PCAARRD Advanced Learning Management System Experience

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Abstract

The pandemic has tested the resilience of organizations and consequently hastened the digital acceleration in many organizations. With the Philippine Council for Agriculture, Forestry and Natural Resources Research and Development (DOST-PCAARRD), an e-learning modality was developed to disseminate relevant technologies that have been generated through its various research and development programs and projects. In developing the e-learning platform, the project adopted the ADDIE model of instructional design. This paper describes the process undertaken as PCAARRD transitioned from traditional classroom, face-to-face courses into an e-learning platform, adopting the ADDIE framework of instructional design and using Moodle as a learning management system. It also outlines the challenges and lessons learned from digitization, as well as recommendations and future directions for the program. Following the PCAARRD experience, the ADDIE model was an effective framework to use in e-learning development, primarily based on formative and summative evaluations. The success of e-learning can be considered a factor of various elements, including the learner, resource persons, the training course content, as well as the social interactions and ease of use of technology. The adoption of e-learning as a human capital investment continues to increase, which merits the evaluation of different organizational e-learning programs to introduce new insights or approaches in the delivery of adult learning for agriculture sector research and development.

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Funding

This study was funded by DOST-PCAARRD (Philippine Council for Agriculture, Aquatic and Natural Resources Research and Development).

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Correspondence to Eriza C. Asilo.

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Asilo, E.C., Laranas, J.S. & Decena, F.L.C. Designing Technology-Based e-Learning for Adult Education in the Philippine Agriculture Sector: The PCAARRD Advanced Learning Management System Experience. SN COMPUT. SCI. 5, 620 (2024). https://doi.org/10.1007/s42979-024-02966-3

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