Mustika Mentari

Work place: Department of Electrical and Communication Engineering, Okayama University, Okayama, Japan

E-mail: p2918093@s.okayama-u.ac.jp

Website: https://orcid.org/0000-0002-2847-3526

Research Interests:

Biography

Mustika Mentari completed her bachelor’s degree in computer science study program from Brawijaya University in 2011. Subsequently, she continued her master’s degree in informatics engineering at Sepuluh Nopember Institute of Technology (ITS), graduating in 2014. Mentari has been active in her career as a lecturer in the Diploma 4 informatics engineering study program at the State Polytechnic of Malang since 2015. In 2023, she continued to take a doctoral degree in the graduate school of environmental and life science at Okayama University. Mentari’s research interests include Programming Learning Assistant Systems, Digital Image Processing, Intelligent Systems and Computer Vision.

Author Articles
Empowering Self-Learning: Automated Assistance and Grading Mechanisms in Android Application Development

By Yan Watequlis Syaifudin Nobuo Funabiki Andi Baso Kaswar Asep Sunandar Suryani Dyah Astuti Triana Fatmawati Mustika Mentari Alfiandi Aulia Rahmadani

DOI: https://doi.org/10.5815/ijmecs.2026.04.07, Pub. Date: 8 Aug. 2026

The increasing dominance of Android devices has driven a surge in demand for skilled mobile programmers, prompting educational institutions to incorporate mobile programming courses into their curricula. This trend, combined with the rise of self-learning platforms, highlights the need for innovative educational technologies that enhance programming instruction. While automated assessment systems have improved the grading process in programming education, there remains a gap in mobile programming education, particularly due to the complexities of assessing Android applications. To address this, an innovative framework for Android application development is proposed, leveraging automated grading and assistance mechanisms. The framework employs a Test-Driven Development (TDD) approach, providing structured guidance and immediate feedback through automated testing tools including JUnit and Robolectric. A study involving 125 students revealed high engagement and success in basic topics, though challenges persisted in more complex areas, indicating a need for ongoing refinement and additional instructional support to elevate the learning experience in mobile application development.

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