A Proposal of Advanced Widgets Learning Topic for Interactive Application in Android Programming Learning Assistance System

Syaifudin, Yan Watequlis; Funabiki, Nobuo; Kuribayashi, Minoru; Kao, Wen-Chung

doi:10.1007/s42979-021-00580-1

Cited by 8 publications

(4 citation statements)

References 34 publications

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“…In general, unit testing is the process of testing the functions, steps, units and methods of the source code that we have written in the IDE. This is done as proof of whether the code complies with the desired specifications [15]. This stage is very important and is recommended to be done on every source code that has been built.…”

Section: Unit Testingmentioning

confidence: 99%

Test Code Generation Tool for Self Learning Programming Unity

Nurhasan¹,

Rahmantyo²,

Ririd³

et al. 2023

Proceedings of the 4th International Conference on Science and Technology Applications, ICoSTA 2022, 1-2 November 2022, Medan,

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The curriculum for making game applications is commonly applied in vocational education institutions. Learning to make game applications generally uses Unity and is multiplatform. The concept of learning programming is writing code in an IDE. Students read the module and then do the coding. However, when an error occurs, students often do not understand the concept of improvement. Another problem is the length of the gradle synchronization process in the Unity framework and the difficulty of the teacher in checking the work of each student. The length of the synchronization process has the potential to hinder the learning process. Because game programming has a complex structure and is related to game supporting assets. The lower the specification of the device used, the longer the synchronization process. So it affects the learning process and correction. This system facilitates self-learning of game programming. The results of student work will be checked using the Test-driven Development (TDD) method with the test code provided. If the test code shows a successful result, students can upload their work results to the SeLPU (Self Learning Programming Unity) website and the assessment of the work results will be automatically displayed on the web page.

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Section: Unit Testingmentioning

confidence: 99%

Test Code Generation Tool for Self Learning Programming Unity

Nurhasan¹,

Rahmantyo²,

Ririd³

et al. 2023

Proceedings of the 4th International Conference on Science and Technology Applications, ICoSTA 2022, 1-2 November 2022, Medan,

View full text Add to dashboard Cite

show abstract

“…Figure 4 shows the flowchart of our PRISMA-based methodology, which shows the process of how the 50 articles were obtained that meet the inclusion criteria set forth above. The 50 selected articles were downloaded in their entirety from the following databases: MDPI (11), Science Direct (11), Google Scholar (8), PubMed (8), IEEE Xplore (5), Biomed central (2), Springer Link (2), Wiley Online Library (2), and ACM (1).…”

Section: Selection Processmentioning

confidence: 99%

“…Among the sectors where it is common to use wearable devices are industrial, military, and health, and because its operation is based on acquiring and processing data to make a decision based on it, it is to be expected that they have an operating system built into the microcomputer found incorporated in the wearable device [10]. The Android operating system is recognized to be used in more than 70% of smartphones worldwide and is easy to use [11]. This open-source operating system based on the Linux kernel offers great flexibility due to its customization properties, making it a dominant mobile operating system.…”

Section: Introductionmentioning

confidence: 99%

A Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases

et al. 2022

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Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The effects of NDDs, including irreversible motor impairments, have an impact not only on patients themselves but also on their families and social environments. One strategy to mitigate the pain of NDDs is to early identify and remotely monitor related motor impairments using wearable devices. Technological progress has contributed to reducing the hardware complexity of mobile devices while simultaneously improving their efficiency in terms of data collection and processing and energy consumption. However, perhaps the greatest challenges of current mobile devices are to successfully manage the security and privacy of patient medical data and maintain reasonable costs with respect to the traditional patient consultation scheme. In this work, we conclude: (1) Falls are most monitored for Parkinson’s disease, while tremors predominate in epilepsy and Alzheimer’s disease. These findings will provide guidance for wearable device manufacturers to strengthen areas of opportunity that need to be addressed, and (2) Of the total universe of commercial wearables devices that are available on the market, only a few have FDA approval, which means that there is a large number of devices that do not safeguard the integrity of the users who use them.

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“…To improve Android programming education and assist students in its self-study, an Android programming learning assistance system, named APLAS, has been developed as a web-based application [4,5] *Correspondence: p9wj5q3w@s.okayama-u.ac.jp (A.R.P. )…”

Section: Introductionmentioning

confidence: 99%

An Implementation of Solution Progress Monitoring Function in Android Programming Learning Assistance System

Patta,

Funabiki,

Kuribayashi

et al. 2023

IJIET

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Nowadays, Android is the most popular operating system for mobile devices. To enhance the education of mobile application developments, Android Programming Learning Assistance System (APLAS) has been proposed to help students for its self-learning. However, in the current implementation, the teacher can only check the final answers of students for APLAS assignments at the end of the course. To save at-risk students, it is better to check the progress of solving them using Android Studio on their PCs. This paper presents an implementation of the solution progress monitoring function in APLAS. It periodically collects log files of Android Studio and shows the progress at the interface. For evaluations, we asked 32 students taking the Android programming course in the Department of Computer Engineering, Makassar State University, Indonesia, to solve nine tasks in APLAS with this function. Since using this function, the results showed a reduction in the number of dropped-out students. The teacher could identify and assist students who are experiencing difficulties at the early stage of the course.

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A Proposal of Advanced Widgets Learning Topic for Interactive Application in Android Programming Learning Assistance System

Cited by 8 publications

References 34 publications

Test Code Generation Tool for Self Learning Programming Unity

Test Code Generation Tool for Self Learning Programming Unity

A Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases

An Implementation of Solution Progress Monitoring Function in Android Programming Learning Assistance System

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