Abstract
The digitization of engineering education is reshaping the design, delivery, and effectiveness of online learning environments. This conceptual paper examines how emerging educational technologies-such as artificial intelligence, immersive technologies, learning analytics, and cloud-based platforms-can be systematically integrated to enhance learning effectiveness in online engineering education. Drawing on an integrative review of contemporary literature and established learning theories, the study proposes a multidimensional framework comprising five interrelated dimensions: technological infrastructure, pedagogical design, user experience design, feedback and learning analytics, and support systems. Grounded in constructivism, connectivism, cognitive load theory, self-determination theory, and activity theory, the framework explains how coordinated technological and pedagogical alignment can improve learner engagement, motivation, collaboration, and performance. By moving beyond tool-centric approaches, the paper offers a theory-driven lens to guide educators, administrators, and policy makers in designing effective and sustainable online engineering learning environments and provides a foundation for future empirical validation.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. P J, Thomas UNSPECIFIED Hieng, Ho Lau UNSPECIFIED Lim, Bibiana Chiu-Yiong blim@swinburne.edu.my Kapoor, Ajay UNSPECIFIED |
| Subjects: | L Education > LB Theory and practice of education > Educational technology L Education > LB Theory and practice of education > Higher Education |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Institute Of Continuing Education & Professional Studies (iCEPS) |
| Journal or Publication Title: | International Journal on E-Learning and Higher Education (IJELHE) |
| UiTM Journal Collections: | UiTM Journals > International Journal of e-Learning and Higher Education (IJELHE) |
| ISSN: | eISSN: 3030-6663 |
| Volume: | 21 |
| Number: | 1 |
| Page Range: | pp. 54-76 |
| Keywords: | Artificial intelligence in education, Conceptual framework, Educational technology, Learning theories, Online engineering education |
| Date: | January 2026 |
| URI: | https://ir.uitm.edu.my/id/eprint/131051 |
