Developing mobile learning activity based on multiple learning objects for the South Sumatra local wisdom course / Syarifuddin ... [et al.]

Syarifuddin and Alian and Safitri, Sani and Abidin, Nur Fatah and Sinta and Oktaviani, Ria Resti and Zarro, Mar’ati (2023) Developing mobile learning activity based on multiple learning objects for the South Sumatra local wisdom course / Syarifuddin ... [et al.]. Asian Journal of University Education (AJUE), 19 (1): 2. pp. 12-27. ISSN 2600-9749
Identification Number (DOI): 10.24191/ajue.v19i1.21225
Abstract

Mobile learning is a method of remote teaching and learning where both the teachers and students use mobile-based device to access the learning materials wherever and whenever suits them, in hopes of making the overall learning process easier and more accessible. This study focuses on the development and effectiveness of applying such teaching and learning method on the subject of local wisdoms of Palembang, based on multiple-learning object approach. This study is carried out around the ADDIE research model, beginning with analysis, design, development, implementation, and ending with evaluation. Participants in this study are fifth semester, undergraduate students of History Education program, Universitas Sriwijaya taking the course on local wisdom. The results show that the end product of this study is proven valid and ready for implementation in real-class settings. Evaluations of the end product show that the students see an improvement in their test scores after receiving the mobile learning product from this study. Initially, the majority of them got scores between 10-55 (12 students). Meanwhile, the post-test scores show that 9 of the students received scores between 86-100, and 7 of them between 70-85. None of the students got scores below that. This shows a clear improvement in their learning scores, showing how effective this mobile learning is towards learning materials on local wisdoms of Palembang.

Item Details
Edit Item
Edit Item
Downloads & Files
[thumbnail of 111536.pdf]
Text
111536.pdf
Download (1MB)
Indexing & Metrics