Journal of Smart Education and Emerging Technology
Vol 1 No 2 (2026) : January

Multimedia-Based Learning Module Development for a Special Topics in Multimedia Course: A Four-D Research and Development Study

Riska (Universitas Negeri Makassar)
Muhammad Yahya (Universitas Negeri Makassar)
Muhammad Riska (Universitas Negeri Makassar)



Article Info

Publish Date
25 Jan 2026

Abstract

Background/Context: The development of information and communication technology has promoted the use of multimedia-based learning in higher education to improve student engagement and independent learning. However, instructional materials for the Special Topics in Multimedia course were unsystematically organized, fragmented, and lacked structured learning modules, making it difficult for students to understand the content independently. Objective/Purpose: This study aimed to develop a systematically designed multimedia-based learning module for the Special Topics in Multimedia course to support structured learning and enhance student understanding. Method: This study employed a Research and Development approach using a four-D (4D) development model consisting of Define, Design, Develop, and Disseminate. The module was validated by material and media experts and tested through small and large group trials with students. Results: The developed module was evaluated as highly feasible by both material and media experts. Student trials indicated very positive responses, showing that the module was practical, easy to use, and supported effective independent learning. Conclusion: The multimedia-based learning module was proven to be valid, practical, and well-accepted by students. It successfully provides structured instructional materials and enhances independent learning, making it suitable for use in higher education.

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Journal Info

Abbrev

JSEET

Publisher

Subject

Computer Science & IT Education

Description

Artificial Intelligence in Education (AIED), exploring intelligent and adaptive educational applications that support learning and teaching. Machine Learning in Education, focusing on predictive and adaptive models for learning support, personalization, and educational decision-making. Deep Learning ...