The Implementation of Google Drive in Synchronizing and Backing Up Data for Lecturers of the Faculty of Islamic Economics and Business, IAIN Lhokseumawe
DOI:
https://doi.org/10.52490/malikal-shalih.v4i1.6658Keywords:
Digital Literacy, Digital Transformation, Data Management, Google Drive Training, Real-Time CollaborationAbstract
The Google Drive training program for lecturers at the Faculty of Islamic Economics and Business (FEBI), IAIN Lhokseumawe, was designed to enhance digital literacy and work efficiency in managing academic and administrative data. The program encompassed technical training, monitoring, evaluation, and ongoing mentoring to ensure the sustainable adoption of the application. Evaluation results demonstrated that the training had a significant impact, particularly in supporting tasks such as cloud-based data storage, cross-device synchronization, real-time collaboration, and accreditation data management which require substantial storage capacity and high accessibility. The mentoring program was subsequently extended to lecturers from other faculties at IAIN Lhokseumawe, broadening the training’s benefits. Given its success, the Google Drive training represents a strategic step in supporting digital transformation within the academic environment, fostering a modern, efficient, secure, and integrated workflow system.References
Albó, L., Barria-Pineda, J., Brusilovsky, P., & Hernández-Leo, D. (2022). Knowledge-Based Design Analytics for Authoring Courses with Smart Learning Content. International Journal of Artificial Intelligence in Education, 32(1), 4–27. https://doi.org/10.1007/s40593-021-00253-3
Ang, K. L.-M., Ge, F. L., & Seng, K. P. (2020). Big Educational Data & Analytics: Survey, Architecture and Challenges. IEEE Access, 8, 116392–116414. https://doi.org/10.1109/ACCESS.2020.2994561
Baker, R. S., & Siemens, G. (2022). Learning Analytics and Educational Data Mining. In The Cambridge Handbook of the Learning Sciences (pp. 259–278). Cambridge University Press. https://doi.org/10.1017/9781108888295.016
Banihashem, S. K., Aliabadi, K., Pourroostaei Ardakani, S., Delaver, A., & Nili Ahmadabadi, M. (2018). Learning Analytics: A Systematic Literature Review. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 9(2). https://doi.org/10.5812/ijvlms.63024
Chango, W., Lara, J. A., Cerezo, R., & Romero, C. (2022). A review on data fusion in multimodal learning analytics and educational data mining. WIREs Data Mining and Knowledge Discovery, 12(4). https://doi.org/10.1002/widm.1458
Marjuni, M., & Ulwani, A. R. F. (2022). Analysis of The Best Strategy for Great Education Policy Using Prescriptive Analytics (Indonesian School Experience). Journal of Social Transformation and Regional Development, 4(2). https://doi.org/10.30880/jstard.2022.04.02.006
Nguyen, A., Wandabwa, H., Rasco, A., & Le, L. A. (2021). A Framework for Designing Learning Analytics Information Systems. https://doi.org/10.24251/HICSS.2021.002
Noroozi, O., Alikhani, I., Järvelä, S., Kirschner, P. A., Juuso, I., & Seppänen, T. (2019). Multimodal data to design visual learning analytics for understanding regulation of learning. Computers in Human Behavior, 100, 298–304. https://doi.org/10.1016/j.chb.2018.12.019
Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. WIREs Data Mining and Knowledge Discovery, 10(3). https://doi.org/10.1002/widm.1355
Sahren, S., Irianto, I., Afrisawati, A., & Mahyudin, D. (2023). Pemanfaatan Google Drive Sebagai Alternatif Media Penyimpanan Secara Online Pada SMK Negeri 4 Tanjungbalai. Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal, 6(3), 424–430. https://doi.org/10.33330/jurdimas.v6i3.2471
Shahril Khuzairi, N. M., Sidhu, M. S., & Che Cob, Z. (2020). Learning Analytics and Teaching Analytics: The Similarities and Differences. International Journal of Humanities, Management and Social Science, 3(2), 52–58. https://doi.org/10.36079/lamintang.ij-humass-0302.135
Simangunsong, A. D. Br. (2021). Pelatihan Pembuatan Soal dengan Google Drive untuk Pembelajaran Jarak Jauh. Jurnal Abdidas, 2(5), 1115–1119. https://doi.org/10.31004/abdidas.v2i5.435
Sklyarov, K., Vorotyntseva, A., Komyshova, L., & Sviridova, A. (2020). Methods of digital transformation of the educational environment of agricultural universities. E3S Web of Conferences, 175, 15001. https://doi.org/10.1051/e3sconf/202017515001
Sousa, E. B. G. de, Alexandre, B., Ferreira Mello, R., Pontual Falcão, T., Vesin, B., & Gašević, D. (2021). Applications of Learning Analytics in High Schools: A Systematic Literature Review. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.737891
Vakaliuk, T. A., Antoniuk, D. S., Chernysh, O. A., Lukashevych, V. V., Cheverda, A. B., & Kontsedailo, V. V. (2023). Experience of Involving Future it Professionals in the Development of Learning Tools as an Element of Digital Transformation of Education (pp. 79–92). https://doi.org/10.34916/el.2023.15.07
Vaskov, M., Isakov, A., Bilovus, V., Bulavkin, A., & Mikhaylenko, N. (2021). Digital literacy of modern higher education teachers. E3S Web of Conferences, 273, 12035. https://doi.org/10.1051/e3sconf/202127312035
Wong, J., Baars, M., de Koning, B. B., van der Zee, T., Davis, D., Khalil, M., Houben, G.-J., & Paas, F. (2019). Educational Theories and Learning Analytics: From Data to Knowledge. In Utilizing Learning Analytics to Support Study Success (pp. 3–25). Springer International Publishing. https://doi.org/10.1007/978-3-319-64792-0_1
Zhao, M., Liao, H.-T., & Sun, S.-P. (2020). An Education Literature Review on Digitization, Digitalization, Datafication, and Digital Transformation. Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR2020). https://doi.org/10.2991/assehr.k.200428.065
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