Interactive M-Learning Media Technology to Enhance the Learning Process of Basic Logic Gate Topics in Vocational School and Engineering Education

Aulia Akhrian Syahidi, Herman Tolle, Ahmad Afif Supianto, Tsukasa Hirashima, Kohei Arai


DOI: https://doi.org/10.14710/ijee.0.0.%25p

Abstract


The process of learning to use smartphones is now highly promoted. Almost everyone has a smartphone. The latest trend in learning is known as Mobile Learning (M-Learning). M-Learning can be used anywhere and anytime. Thus, we propose the use of the M-Learning application for computer system subjects in the basic logic gate topics so that students can be motivated to learn. We call this application BLG-LeMed. The focus of this research is on the process of using BLG-LeMed applications on classroom learning that is used directly by vocational high school students, then testing with alpha testing, User Acceptance Tests (UAT), usability evaluations, and knowing the effect of motivating students to use five dimensions of motivation and student learning outcomes. The development model used is Extreme Programming (XP). The design used in this study, by conducting trials in one class and observing students using the BLG-LeMed application as learning media, 38 students consisted of 26 men and 12 women involved in this study, with a duration of 135 minutes at one time of the meeting. We conclude that using the BLG-LeMed application based on M-Learning in the learning process of this basic logic gate, strongly supported by the testing team, can be accepted by users, has a usefulness as a interactive learning media, can have an effect in motivating students to learn, and provide results very satisfying learning.

Keywords


Alpha testing; Learning outcomes; Mobile learning; Motivation; Usability evaluation; User acceptance test

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References


Looi, C., Sun, D., Xie, W., 2015. Exploring Students’ Progression in an Inquiry Science Curriculum Enabled by Mobile Learning. Learning Technologies - IEEE Transactions, 8, 43-54.

Arai, K., 2015. Yahoo! Search and Web API Utilized Mashup based e-Leaning Content Search Engine for Mobile Learning. International Journal of Advanced Research in Artificial Intelligence (IJARAI), 4(6), 1-7.

Quinn, C., 2000. mLearning: Mobile, Wireless, In-Your-Pocket Learning. LiNE Zine.

Ogata, H., Uosaki, N., 2012. A New Trend of Mobile and Ubiquitous Learning Research: Towards Enhancing Ubiquitous Learning Experiences. Int. J. Mobile Learning and Organisation, 6(1), 64-78.

Jan, S. R., Ullah, F., Ali, H., Khan, F., 2016. Enhanced and Effective Learning through Mobile Learning An Insight into Students Perception of Mobile Learning at University Level. International Journal of Scientific Research in Science, Engineering, and Technology, 2(2), 674–681.

Tolle, H., Arai, K., Pinandito, A., 2014. Adaptation of Composite E-Learning Contents for Reusable in Smartphone Based Learning System, Proceeding of the IEEE ICACSIS, 502-507.

Mehdipour, Y., Zerehkafi, H., 2013. Mobile Learning for Education: Benefits and Challenges. International Journal of Computational Engineering Research, 3(6), 93-101.

Toto, G. A., Limone, P., 2019. Contemporary Trends in Studies on Mobile Learning of Foreign Languages: A Meta-Analysis. Internat. J. Eng. Ed., 1(2), 85-90.

Martha, Z. D., Adi, E. P., Soepriyanto, Y., 2018. Ebook Berbasis Mobile Learning. Jurnal Kajian Teknologi Pendidikan, 1(2), 109-114.

Asabere, N. Y., 2013. Benefits and Challenges of Mobile Learning Implementation: Story of Developing Nations. International Journal of Computer Applications, 73(1), 23-27.

Ministry of Education and Culture of the Republic of Indonesia, “Inovasi Pembelajaran Kunci Menghadapi Revolusi Industri 4.0,” February 22, 2018, Retrieved: October 20, 2019 from Website: http://psmk.kemdikbud.go.id/konten/3269/inovasi-pembelajaran-kunci-menghadapi-revolusi-industri-40.

Rahardjo, T., Dageng, I. N. S., Soepriyanto, Y., 2018. Pengembangan Multimedia Interaktif Mobile Learning Berbasis Android Aksara Jawa Kelas X SMK Negeri 5 Malang. Jurnal Kajian Teknologi Pendidikan, 2(3), 195-202.

Shoufan, A., Lu, Z., Huss, S. A., 2015. A Web-Based Visualization and Animation Platform for Digital Logic Design. IEEE Transactions on Learning Technologies, 8(2), 225–239.

Prasetyono, R. N., Hariyono, R. C. S., 2020. Development of Flipbook using Web Learning to Improve Logical Thinking Ability in Logic Gate. International Journal of Advanced Computer Science and Applications (IJACSA), 11(1), 342-348.

Morsi, R., Mull, S., 2014. Digital Lockdown: A 3D Adventure Game for Engineering Education. Proceeding of the Frontiers in Education Conference, 1–4.

Dewantara, D., Wati, M., Misbah, M., Mahtari, S., Haryandi, S., 2020. The Effectiveness of Game Based Learning on The Logic Gate Topics. Proceeding of the IOP Conf. Series: Journal of Physics: Conf. Series 1491(2020), 1-5.

Tafrikhatin, A., Marsyaly, F. P., Khairudin, M., 2017. Development of A Mobile Learning for Digital Logic Gates in Vocational Schools. Proceeding of the International Conference on Technology and Vocational Teachers, 102, 159-164.

Rakhmawati, L., Firdha, A., 2018. The Use of Mobile Learning Application to the Fundament of Digital Electronics Course. Proceeding of the IOP Conf. Series: Materials Science and Engineering, 296(1), 1-6.

Muslim, S., Suprianto, B., Gitama, N. P., 2018. Development Module (Lab Report) As a Media of Learning in Vocational Education Viewed by Gender. Proceeding of the IOP Conf. Series: Materials Science and Engineering, 336(1), 1-7.

Hudedmani, M. G., Swati, I. K., Sneha, S. G., Basamma, B., 2017. Digital Logic Gate Simulation using Arduino Microcontroller. Journal of Control System and Control Instrumentation, 3(1), 1-6.

Pressman, R. S., 2010. Software Engineering: A Practitioner's Approach Seventh Edition. New York: McGraw-Hill.

Syahidi, A. A., Subandi, Mohamed, A., 2020. AUTOC-AR: A Car Design and Specification as a Work Safety Guide Based on Augmented Reality Technology. Journal of Technological and Vocational Education, 26(1), 1-8.

Mohd, C. K. N. C. K., Shahbodin, F., 2015. Personalized Learning Environment: Alpha Testing, Beta Testing and User Acceptance Test. Proceeding of the Social and Behavioral Sciences, 195, 837–843.

Syahidi, A. A., Tolle, H., Supianto, A. A., Hirashima, T., 2019. TOLSYASUPI-EduMed: Development of Educational Media Using the Problem-Posing Learning Model for Basic Programming Subjects. Journal of Information Technology and Computer Science, 4(2), 137-155.

Mostakhdemin-Hosseini, A., 2009. Usability Considerations of Mobile Learning Applications. International Journal of Interactive Mobile Technologies (iJIM), 3(1), 29-31.

Glynn, S. M., Brickman, P., Armstrong, N., Taasoobshirazi, G., 2011. Science Motivation Questionnaire II : Validation With Science Majors and Nonscience Majors. Journal of Research in Science Teaching, 48(10), 1159–1176.

Syahidi, A. A., Asyikin, A. N., Asy’ari, 2018. Applying Student Team Achievement Divisions (STAD) Model on Material of Basic Programme Branch Control Structure to Increase Activity and Student Result. Proceeding of the IOP Conf. Series: Materials Science and Engineering, 336(1), 1-8.

Malvino, A. P., 1983. Digital Computer Electronics: An Introduction to Microcomputers. New Delhi: Gregg Division, McGraw-Hill.

Truong, D., 2014. How To Design a Mobile Application to Enhance Teaching and Learning?. International Journal of Emerging Technologies in Learning (iJET), 9(3), 4-11.

Melis, E., Weber, M., Andrès, E., 2003. Lessons for (Pedagogic) Usability of eLearning Systems. Proceeding of the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 281-284.





Published by Faculty of Engineering in collaboration with Vocational School, Diponegoro University - Indonesia.