Algorithm visualization design guidelines for mobile leaning

This study is about the algorithm visualization design guidelines for mobile platform, to teach students data structures and algorithm (DSA) subject effectively. The previous analytical review report that AV design guidelines on mobile platform are still lacking. Generally, the previous AV guideline...

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Bibliographic Details
Main Authors: Supli, Ahmad Affandi, Shiratuddin, Norshuhada
Format: Article
Language:English
Published: Academic Publications, Ltd. 2018
Subjects:
Online Access:http://repo.uum.edu.my/26938/1/IJPAM%20118%2024%202018%201%2016.pdf
http://repo.uum.edu.my/26938/
https://acadpubl.eu/hub/2018-118-24/issue24a.html
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Institution: Universiti Utara Malaysia
Language: English
Description
Summary:This study is about the algorithm visualization design guidelines for mobile platform, to teach students data structures and algorithm (DSA) subject effectively. The previous analytical review report that AV design guidelines on mobile platform are still lacking. Generally, the previous AV guidelines are prepared for website and desktop platform. In reality, many evidences displayed that mobile learning could improve engagement in learning environments, and consequently effect student’s acquisition. Researchers highlighted that UI design and Interactivity are significant elements in designing AV system effectively. Nonetheless, these two facets in previous AV design guidelines are separated and not elaborated comprehensively. The UI design in our guidelines is about the recommendation of user interface arrangement, such as AV features (visualization, pseudo-code, buttons, text, etc.) in mobile screen device, while interactivity discusses the features that can engage students in learning-by-doing paradigm. Consequently, this study primarily proposes the design guidelines of AV mobile learning that integrates those two aspects. The guidelines are established through systematic activities: analytical review from various related fields. The guidelines are useful for AV designers in constructing AV mobile learning.