Designing an Effective e-Content Development Framework for the Enhancement of Learning Programming
DOI:
https://doi.org/10.3991/ijet.v11i04.5574Keywords:
Learning Programming, Cognitive Theory of Multimedia Learning, e-Content Development, Educational Design, Educational Technology.Abstract
Abstract— This article presents an ongoing research project on the development of e-content in relation to the cognitive theory of multimedia learning. Previously, a literature review has been conducted on e-content development models, the cognitive theory of multimedia learning, and the problems encountered while learning computer programming. In this work a new framework is proposed for the development of e-content. An experiment was conducted in the Jubilee Centre for Excellence in Education among (98) secondary school students in order to assess the value of a Proposed Framework that uses the Cognitive Theory of Media Learning. The study sample was divided into two groups, One group studied computer programming using e-content Based on the Behavior Change Techniques using the Proposed Framework (BPF), and the other group studied computer programming based on e-content that was Not Based on the Proposed Framework (NBPF). The students’ performance was assessed by a pre-test grading scale and a post-test and an analysis made using Statistical Package for the Social Sciences (SPSS). The results showed that the students who studied computer programming through BPF achieved better scores than the students who studied computer programming through NBPF. Therefore, applying the cognitive theory of multimedia learning properly at the same conditions, as applied in this study in the educational process will significantly reduce the cognitive overload associated with learning through multimedia elements and improve student achievement.
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Published
2016-04-05
How to Cite
Hamdi, M., & Hamtini, T. M. (2016). Designing an Effective e-Content Development Framework for the Enhancement of Learning Programming. International Journal of Emerging Technologies in Learning (iJET), 11(04), pp. 131–141. https://doi.org/10.3991/ijet.v11i04.5574
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