Development of Mobile Learning Based on Digital Entrepreneurs Using Raspberry Pi on TVET

Rahmat Fadillah, - Ganefri, Asmar Yulastri, Hendra Hidayat

Abstract


Mobile learning is a method of instruction that uses portable electronics like laptops, smartphones, mobile phones, and PCs so that students may access lesson materials, instructions, and apps whenever and wherever they are without being constrained by time or place. This is an innovation regarding a systematic and structured application-based learning system as an interactive medium for students, especially at TVET. This article aims to develop mobile learning using a mini server Raspberry Pi 3 Model B+ based on digital entrepreneurs (digipreneur) that runs on the Moodle LMS as a source of learning content so that learning can be carried out interactively and flexibly, without having to be connected to the internet, or classrooms that are not effective even in areas with no internet access. This activity goes through 2 stages of system design known as client-server. In designing the server, the Raspberry Pi mini server model B+ configuration is carried out as a source of digital learning resources by using several supporting applications such as MySQL server, SSH, PHPMyAdmin, and Apache in designing the client using the Moodle LMS application, which contains digipreneur-based digital learning materials and resources, all stored in the database server. Three primary users are built into the Mobile Learning Database System: Administrators, Lecturers, and Students. This application is expected to be innovative and the right solution in terms of learning and become an alternative problem-solving tool in education.

Keywords


Mobile learning; Raspberry pi; TVET; digital entrepreneurs

Full Text:

PDF

References


M. M. Nair et al., “The Future with Industry 4.0 at the Core of Society 5.0: Open Issues, Future Opportunities and Challenges,†2021 Int. Conf. Comput. Commun. Informatics, ICCCI 2021, 2021, doi: 10.1109/ICCCI50826.2021.9402498.

Ganefri, R. Fadillah, and H. Hidayat, “Designing Interface Based on Digipreneur to Increase Entrepreneurial Interest in Engineering Students,†Int. J. Adv. Sci. Eng. Inf. Technol., vol. 12, no. 1, pp. 78–84, 2022, doi: 10.18517/ijaseit.12.1.13915.

R. Ata and K. Yıldırım, “Analysis of the relation between computational thinking and new media literacy skills of first-year engineering students,†J. Educ. Multimed. Hypermedia, vol. 29, no. 1, pp. 5–20, 2020.

Hootsuite (We Are Social), “Indonesian Digital Report 2021,†Glob. Digit. Insights, p. 103, 2021.

M. Hernandez-de-Menendez et al., “Engineering education for smart 4.0 technology: a review,†Int. J. Interact. Des. Manuf., vol. 14, no. 3, pp. 789–803, 2020, doi: 10.1007/s12008-020-00672-x.

M. L. Bernacki et al., “Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education,†Contemp. Educ. Psychol., vol. 60, 2020, doi: 10.1016/j.cedpsych.2019.101827.

Jamaris et al., “Mobile Learning Application: Effect of Learning Readiness and Community Learning Toward Technology Management and Mobile Learning,†Int. J. online Biomed. Eng., vol. 17, no. 13, pp. 20–32, 2021, doi: 10.3991/ijoe.v17i13.26871.

S. S. Alghazi et al., “For sustainable application of mobile learning: An extended utaut model to examine the effect of technical factors on the usage of mobile devices as a learning tool,†Sustain., vol. 13, no. 4, pp. 1–23, 2021, doi: 10.3390/su13041856.

G. J. Hwang and C. C. Tsai, “Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010,†Br. J. Educ. Technol., vol. 42, no. 4, pp. 65–70, 2011, doi: 10.1111/j.1467-8535.2011.01183.x.

W. H. Wu et al., “Review of trends from mobile learning studies: A meta-analysis,†Comput. Educ., vol. 59, no. 2, pp. 817–827, 2012, doi: 10.1016/j.compedu.2012.03.016.

N. Y. Ken Nee Chee et al., “Review of Mobile Learning Trends 2010-2015: A Meta-Analysis,†J. Educ. Technol. Soc., vol. 20, no. 2, pp. 113–126, 2017, [Online]. Available: http://www.jstor.org/stable/90002168

S. Ortiz and M. Green, “Trends and patterns of mobile learning: A study of mobile Learning Management System access,†Turkish Online J. Distance Educ., vol. 20, no. 1, pp. 161–176, 2019, doi: 10.17718/tojde.522464.

U. Yabanova and O. Demirkan, “The effects of a mobile pre-learning system with surface learning approach on academic achievement and mobile learning attitude,†Educ. Process Int. J., vol. 10, no. 2, pp. 42–58, 2021, doi: 10.22521/EDUPIJ.2021.102.3.

A. Szymkowiak et al., “Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people,†Technol. Soc., vol. 65, pp. 1–10, 2021, doi: 10.1016/j.techsoc.2021.101565.

M. Murray, “The impact of interprofessional simulation on readiness for interprofessional learning in health professions students,†Teach. Learn. Nurs., vol. 16, no. 3, pp. 199–204, 2021, doi: 10.1016/j.teln.2021.03.004.

S. A. Abdullah et al., “Determining Elements in Mobile Learning Implemention among Instructors in Vocational Colleges: A Fuzzy Delphi Method,†IEEE Access, vol. 9, pp. 150839–150845, 2021, doi: 10.1109/ACCESS.2021.3121703.

J. Li and M. Pilz, “International transfer of vocational education and training: a literature review,†J. Vocat. Educ. Train., vol. 00, no. 00, pp. 1–34, 2021, doi: 10.1080/13636820.2020.1847566.

M. Muktiarni et al., “Digital platform trends in vocational education during the covid-19 pandemic,†J. Tech. Educ. Train., vol. 13, no. 3, pp. 180–189, 2021, doi: 10.30880/jtet.2021.13.03.018.

X. Neumeyer et al., “Poverty, entrepreneurship, and digitalization: A review and future research agenda,†in 2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), 2021, pp. 1–6.

G. Elia et al., “Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process,†Technol. Forecast. Soc. Change, vol. 150, p. 119791, 2020, doi: 10.1016/j.techfore.2019.119791.

A. A. Peprah and A. F. Adekoya, “Entrepreneurship and economic growth in developing countries: Evidence from Africa,†Bus. Strateg. Dev., vol. 3, no. 3, pp. 388–394, 2020, doi: 10.1002/bsd2.104.

J. M. Sahut et al., “The age of digital entrepreneurship,†Small Bus. Econ., vol. 56, no. 3, pp. 1159–1169, 2021, doi: 10.1007/s11187-019-00260-8.

F. Bertoni et al., “Digitization in the Market for Entrepreneurial Finance: Innovative Business Models and New Financing Channels,†Entrep. Theory Pract., vol. 46, no. 5, pp. 1120–1135, 2022, doi: 10.1177/10422587211038480.

Musnaini, H. Wijoyo, I. Indrawan, and Syahtriatna, Digipreneurship (Kewirausahaan Digital). Pena Persada, 2020.

N. Kholifah et al., “Explicating the Experience of Beginner Vocational Teachers,†TEM J., vol. 10, no. 2, pp. 719–723, 2021, doi: 10.18421/TEM102-28.

G. Rippa, P., and Secundo, “Digital academic entrepreneurship: The potential of digital technologies on academic entrepreneurship,†Technol. Forecast. Soc. Change, vol. 146, pp. 900–911, 2019, doi: https://doi.org/10.1016/j.techfore.2018.07.013.

G. Alfian et al., “Customer behavior analysis using real-time data processing: A case study of digital signage-based online stores,†Asia Pacific J. Mark. Logist., vol. 31, no. 1, pp. 265–290, 2019, doi: 10.1108/APJML-03-2018-0088.

O. O. Owoseni et al., “Will Emotional Intelligence Predict Entrepreneurial Intentions?,†N. Am. J. Psychol., vol. 23, no. 1, 2021.

C. L. Suan et al., “Does Self-Efficacy and Achievement Motivation Predict Entrepreneurial Intention Among Undergraduate Students?,†J. Sustain. Sci. Manag., vol. 17, no. 7, pp. 46–61, 2022, doi: 10.46754/jssm.2022.07.004.

R. S. A. R. A. Rahman et al., “The influence of attitude, interest, teachers and peers on entrepreneurial career intention,†Univers. J. Educ. Res., vol. 8, no. 11 A, pp. 78–88, 2020, doi: 10.13189/ujer.2020.082110.

H. K. Kondaveeti et al., “A Review of Image Processing Applications based on Raspberry-Pi,†in 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), 2022, vol. 1, pp. 22–28. doi: 10.1109/ICACCS54159.2022.9784958.

S. Singh et al., “Low-cost solution for rodent home-cage behaviour monitoring,†PLoS One, vol. 14, no. 8, pp. 1–18, 2019, doi: 10.1371/journal.pone.0220751.

C. Nilholm et al., “The aims and meaning of teaching as reflected in high-impact reviews of teaching research,†Teach. Teach. Educ., vol. 107, 2021, doi: 10.1016/j.tate.2021.103488.

J. S. Valdez-Martínez et al., “Communication Times Reconstruction in a Telecontrolled Client–Server Scheme: An Approach by Kalman Filter Applied to a Proprietary Real-Time Operating System and TCP/IP Protocol,†Mathematics, vol. 10, no. 20, 2022, doi: 10.3390/math10203885.

M. Serik et al., “Improving the content of a client-server technology training course: Set up and collaborative implementation of local and cloud-based remote servers,†Int. J. Emerg. Technol. Learn., vol. 14, no. 21, pp. 191–204, 2019, doi: 10.3991/ijet.v14i21.10643.

C. Le et al., “Analysis of Various Vulnerabilities in the Raspbian Operating System and Solutions,†in 2022 IEEE World AI IoT Congress (AIIoT), 2022, pp. 01–06. doi: 10.1109/AIIoT54504.2022.9817202.

Z. Zhang et al., “Research on MySQL Database Recovery and Forensics Based on Binlog,†in Proceedings of the 11th International Conference on Computer Engineering and Networks, 2022, pp. 741–750. doi: https://doi.org/10.1007/978-981-16-6554-7_80.

E. A. Shabalin et al., “Development of a Set of Procedures for Providing Remote Access to a Corporate Computer Network by means of the SSH Protocol (Using the Example of the CISCO IOS Operating System),†in 2021 Dynamics of Systems, Mechanisms and Machines (Dynamics), 2021, pp. 1–5.

Ganefri, H. Hidayat, A. Yulastri, S. Yondri, "Design of production-based entrepreneurship technology training model to improve the skills of engineering students," International Journal of Innovative Technology and Exploring Engineering., vol. 8, no. 11, pp. 2042-2047, 2019. http://dx.doi.org/10.35940/ijitee.K1930.0981119

H. Hidayat, B.Y. Tamin, S. Herawati, A. Hidayati, A.P. Muji, "Implementation of technopreneurship scientific learning for produce electronic product prototypes in engineering education," International Journal of Innovative Technology and Exploring Engineering., vol. 8, no. 11, pp. 2842-2846, 2019. http://dx.doi.org/10.35940/ijitee.K2406.0981119

H. Hidayat, Z. Ardi, Yuliana, and S.Herawati, "Exploration of the need analysis for technopreneurship scientific learning models in higher vocational education," International Journal of Economics and Business Research., vol. 18, no. 3, pp. 356-368, 2019. https://doi.org/10.1504/IJEBR.2019.102733

A. Yulastri, H. Hidayat, Ganefri, S. Yondri, Ifdil, "Contribution of production-based learning, student engagement, and locus of control towards entrepreneurship learning outcomes in engineering education,"International Journal on Advanced Science, Engineering and Information Technology., vol. 10, no. 2, pp. 585-592, 2020. http://dx.doi.org/10.18517/ijaseit.10.2.9365

H. Hidayat et al., “The Empirical Analysis of Industrial Work Challenges in the Industrial Revolution 5.0 Towards a Grade Point Average (GPA) for Electronic Engineering Education Students,†Int. J. Onl. Eng., vol. 17, no. 09, p. 21, Sep. 2021, http://dx.doi.org/10.3991/ijoe.v17i09.25679




DOI: http://dx.doi.org/10.18517/ijaseit.13.6.18608

Refbacks

  • There are currently no refbacks.


Published by INSIGHT - Indonesian Society for Knowledge and Human Development