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Journal of Computing Research and Innovation
Article . 2024 . Peer-reviewed
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Evaluation of SPARK C++ usability: modular programming for mechanical and civil engineering students

Authors: Azrina Suhaimi; Mohamad Faizal Ab Jabal; Harshida Hasmy; Azyan Yusra Kapi @ Kahbi;

Evaluation of SPARK C++ usability: modular programming for mechanical and civil engineering students

Abstract

Technological innovations have transformed education, offering learning opportunities outside traditional classrooms through online resources. However, self-learning programming remains challenging for beginners. The SPARK C++ tool was developed to assist Mechanical and Civil Engineering students at Universiti Teknologi MARA in mastering C++ modular programming. This study evaluates the usability of SPARK C++ using Nielsen's metrics: learnability, efficiency, memorability, errors, and satisfaction. Sixty-three students from these engineering programs participated, providing data through Nielsen's Usability Test, which included Likert scale questions and open-ended feedback. The results revealed significant differences in usability perceptions by gender and program, with female Mechanical Engineering students reporting higher satisfaction. Key strengths were user-friendly design, engaging content, interactive quizzes, and multimedia features. Areas for improvement included better error messages, more comprehensive notes, and downloadable results. Enhancing these aspects can improve learning experiences and retention rates. This study highlights the need for continuous improvement of educational technologies based on user feedback and suggests future research should broaden usability testing to ensure inclusivity and adaptability.

Keywords

Technology, Educational Technology, Modular Programming, Nielsen Usability Metrics, Programming Education, SPARK C , Web-based Learning Tools, T, T1-995, Probabilities. Mathematical statistics, QA273-280, Technology (General)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold