An Implementation of Solving Activity Monitoring Function in Android Programming Learning Assistance System

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Abdul Rahman Patta, Nobuo Funabiki, Yan Watequlis Syaifudin, Wen-Chung Kao

2022 2022 5th International Conference on Vocational Education and Electrical Engineering: The Future of Electrical Engineering, Informatics, and Educational Technology Through the Freedom of Study in the Post-Pandemic Era, ICVEE 2022 - Proceeding Conference paper Cited by 3 Quartile

Abstract

For an efficient self-learning platform, we have developed Android programming learning assistance system (APLAS). APLAS offers a variety of assignments composed of multiple tasks to covering a wide range of topics in Android programming. For each task, a student needs to complete the source-codes of Java, Kotlin, and XML that will pass the tests by the given test codes from the teacher on the server. The student can repeat modifications and testing of answer codes until reaching the correct ones. However, the current implementation of APLAS allows the teacher to see only the final results of the students. In this paper, we implement the solving activity monitoring function so that the teacher can check the current number of completed assignments, the time to solve them, and the number of answer submissions for each student at the web browser. For the evaluation, we asked 32 students in the Information Technology department, State University of Makassar, Indonesia, to solve tasks in each of the two learning topics at APLAS. The function found that they completed the tasks in 262min. for Basic User Interface (UI) learning topic and in 317min. for Basic Activity learning topic by submitting the answer files twice on average. © 2022 IEEE.

Affiliations

Okayama University, Department of Information and Communication Systems, Okayama, Japan; State Polytechnic of Malang, Department of Information Technology, Malang, Indonesia; National Taiwan Normal University, Department of Electrical Engineering, Taipei, Taiwan