Optimizing the Role of Information and Communication Technology in Educational Transformation
Downloads
Educational transformation is a form of effort to make changes in the world of education. Many things can be used as a tool to help realize change or innovation in the world of education. Along with the times, technology has played a significant role in making changes to the world of education. The role of technology cannot be denied, because with the existence of technology the education system begins to develop. The involvement of this technology is a source of change in the learning process, both with the support of information and communication technology. This information and communication technology needs to be used optimally and properly so that its role reaches all students. The purpose of this research is to find out that by optimizing the Role of Information and Communication Technology in Educational Transformation, education that is novel in nature will be realized both from the media used and the teaching methods used by educators. In addition, through information and communication technology, it is also hoped that it can provide innovations and solutions to current problems in the world of education and also as an opening for the transformation of education in Indonesia. The method used in this study is a quantitative method. The researcher conducted a survey by providing a questionnaire link using a Google form which contained several statements to be filled in by students. The results obtained by the researcher were the students' very positive responses to this research and the enthusiasm of the students in filling out the questionnaire link that the researchers provided. The results of the study also show that the role of information and communication technology in educational transformation is quite optimal, but educators need the latest breakthroughs to further optimize their use. The conclusion from this study is that the role of information and communication technology in educational transformation is already optimal but needs serious attention so that information and communication technology can be more optimal in its use in the educational process. The limitations of this study are that researchers only conduct research on schools and researchers do not directly conduct research at schools but by distributing questionnaire links on a Google form containing statements related to optimizing the role of information and communication technology in educational transformation.
Alkhowailed, M. S., Rasheed, Z., Shariq, A., Elzainy, A., El Sadik, A., Alkhamiss, A., Alsolai, A. M., Alduraibi, S. K., Alduraibi, A., Alamro, A., Alhomaidan, H. T., & Al Abdulmonem, W. (2020). Digitalization plan in medical education during COVID-19 lockdown. Informatics in Medicine Unlocked, 20, 100432. https://doi.org/10.1016/j.imu.2020.100432
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358–367. https://doi.org/10.1016/j.giq.2018.10.001
Bogoviz, A. V., Gulyaeva, T. I., Semenova, E. I., & Lobova, S. V. (2019). Transformation Changes in the System of Professional Competences of a Modern Specialists in the Conditions of Knowledge Economy’s Formation and the Innovational Approach to Training. In E. G. Popkova, Y. V. Ragulina, & A. V. Bogoviz (Eds.), Industry 4.0: Industrial Revolution of the 21st Century (Vol. 169, pp. 193–200). Springer International Publishing. https://doi.org/10.1007/978-3-319-94310-7_19
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., & Hofacker, C. (2019). Technological disruptions in services: Lessons from tourism and hospitality. Journal of Service Management, 30(4), 484–506. https://doi.org/10.1108/JOSM-12-2018-0398
Cabero Almenara, J., & Martínez Gimeno, A. (2019). Las TIC y la formación inicial de los docentes. Modelos y competencias digitales. Profesorado, Revista de Currículum y Formación Del Profesorado, 23(3), 247–268. https://doi.org/10.30827/profesorado.v23i3.9421
Caragliu, A., & Del Bo, C. F. (2019). Smart innovative cities: The impact of Smart City policies on urban innovation. Technological Forecasting and Social Change, 142, 373–383. https://doi.org/10.1016/j.techfore.2018.07.022
Chen, P., & Hao, Y. (2022). Digital transformation and corporate environmental performance: The moderating role of board characteristics. Corporate Social Responsibility and Environmental Management, 29(5), 1757–1767. https://doi.org/10.1002/csr.2324
Clerckx, B., Zhang, R., Schober, R., Ng, D. W. K., Kim, D. I., & Poor, H. V. (2019). Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs. IEEE Journal on Selected Areas in Communications, 37(1), 4–33. https://doi.org/10.1109/JSAC.2018.2872615
Dewsbury, B., & Brame, C. J. (2019). Inclusive Teaching. CBE—Life Sciences Education, 18(2), fe2. https://doi.org/10.1187/cbe.19-01-0021
Flores, G., Mendoza, F. S., DeBaun, M. R., Fuentes-Afflick, E., Jones, V. F., Mendoza, J. A., Raphael, J. L., & Wang, C. J. (2019). Keys to academic success for under-represented minority young investigators: Recommendations from the Research in Academic Pediatrics Initiative on Diversity (RAPID) National Advisory Committee. International Journal for Equity in Health, 18(1), 93. https://doi.org/10.1186/s12939-019-0995-1
Flórez-Aristizábal, L., Cano, S., Collazos, C. A., Benavides, F., Moreira, F., & Fardoun, H. M. (2019). Digital transformation to support literacy teaching to deaf Children: From storytelling to digital interactive storytelling. Telematics and Informatics, 38, 87–99. https://doi.org/10.1016/j.tele.2018.09.002
Guo, Y., Wang, H., Hu, Q., Liu, H., Liu, L., & Bennamoun, M. (2021). Deep Learning for 3D Point Clouds: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(12), 4338–4364. https://doi.org/10.1109/TPAMI.2020.3005434
Hartong, S. (2019). The Transformation of State Monitoring Systems in Germany and the US: Relating the Datafication and Digitalization of Education to the Global Education Industry. In M. Parreira Do Amaral, G. Steiner-Khamsi, & C. Thompson (Eds.), Researching the Global Education Industry (pp. 157–180). Springer International Publishing. https://doi.org/10.1007/978-3-030-04236-3_8
Jerman, A., Peji? Bach, M., & Aleksi?, A. (2020). Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science, 37(2), 388–402. https://doi.org/10.1002/sres.2657
Johnson, J. M., & Khoshgoftaar, T. M. (2019). Survey on deep learning with class imbalance. Journal of Big Data, 6(1), 27. https://doi.org/10.1186/s40537-019-0192-5
Khan, A., Sohail, A., Zahoora, U., & Qureshi, A. S. (2020). A survey of the recent architectures of deep convolutional neural networks. Artificial Intelligence Review, 53(8), 5455–5516. https://doi.org/10.1007/s10462-020-09825-6
Kickingereder, P., Isensee, F., Tursunova, I., Petersen, J., Neuberger, U., Bonekamp, D., Brugnara, G., Schell, M., Kessler, T., Foltyn, M., Harting, I., Sahm, F., Prager, M., Nowosielski, M., Wick, A., Nolden, M., Radbruch, A., Debus, J., Schlemmer, H.-P., … Maier-Hein, K. H. (2019). Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: A multicentre, retrospective study. The Lancet Oncology, 20(5), 728–740. https://doi.org/10.1016/S1470-2045(19)30098-1
Manyukhina, Y., & Wyse, D. (2019). Learner agency and the curriculum: A critical realist perspective. The Curriculum Journal, 30(3), 223–243. https://doi.org/10.1080/09585176.2019.1599973
Marzoan, M. (2017). PERAN TEKNOLOGI INFORMASI DAN KOMUNIKASI UNTUK MENINGKATKAN KUALITAS PEMBELAJARAN DALAM PERSPEKTIF KURIKULUM 2013. JINOTEP (Jurnal Inovasi Dan Teknologi Pembelajaran) Kajian Dan Riset Dalam Teknologi Pembelajaran, 81–90. https://doi.org/10.17977/um031v1i12014p081
Nambisan, S., Wright, M., & Feldman, M. (2019). The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes. Research Policy, 48(8), 103773. https://doi.org/10.1016/j.respol.2019.03.018
Nusinow, D. P., Szpyt, J., Ghandi, M., Rose, C. M., McDonald, E. R., Kalocsay, M., Jané-Valbuena, J., Gelfand, E., Schweppe, D. K., Jedrychowski, M., Golji, J., Porter, D. A., Rejtar, T., Wang, Y. K., Kryukov, G. V., Stegmeier, F., Erickson, B. K., Garraway, L. A., Sellers, W. R., & Gygi, S. P. (2020). Quantitative Proteomics of the Cancer Cell Line Encyclopedia. Cell, 180(2), 387-402.e16. https://doi.org/10.1016/j.cell.2019.12.023
Parker, B., Thomas, L., Rushton, E., & Hatfield, P. (2019). Transforming education with the Timepix detector—Ten years of CERN@school. Radiation Measurements, 127, 106090. https://doi.org/10.1016/j.radmeas.2019.03.008
Sanchez, E., & Plumettaz-Sieber, M. (2019). Teaching and Learning with Escape Games from Debriefing to Institutionalization of Knowledge. In M. Gentile, M. Allegra, & H. Söbke (Eds.), Games and Learning Alliance (Vol. 11385, pp. 242–253). Springer International Publishing. https://doi.org/10.1007/978-3-030-11548-7_23
Scheufele, D. A., & Krause, N. M. (2019). Science audiences, misinformation, and fake news. Proceedings of the National Academy of Sciences, 116(16), 7662–7669. https://doi.org/10.1073/pnas.1805871115
Schröder, A., & Krüger, D. (2019). Social Innovation as a Driver for New Educational Practices: Modernising, Repairing and Transforming the Education System. Sustainability, 11(4), 1070. https://doi.org/10.3390/su11041070
Shannon, G. D., Haghparast-Bidgoli, H., Chelagat, W., Kibachio, J., & Skordis-Worrall, J. (2019). Innovating to increase access to diabetes care in Kenya: An evaluation of Novo Nordisk’s base of the pyramid project. Global Health Action, 12(1), 1605704. https://doi.org/10.1080/16549716.2019.1605704
Spierings, J., Van Den Ende, C., Schriemer, R., De Pundert, L., Moens, H. B., Van Laar, J., De Vries-Bouwstra, J., & Vonk, M. (2019). Optimal care for systemic sclerosis patients: Recommendations from a patient-centered and multidisciplinary mixed-method study and working conference. Clinical Rheumatology, 38(4), 1007–1015. https://doi.org/10.1007/s10067-018-4358-x
Tanaka, G., Yamane, T., Héroux, J. B., Nakane, R., Kanazawa, N., Takeda, S., Numata, H., Nakano, D., & Hirose, A. (2019). Recent advances in physical reservoir computing: A review. Neural Networks, 115, 100–123. https://doi.org/10.1016/j.neunet.2019.03.005
Tang, S., Xiang, M., Cheung, T., & Xiang, Y.-T. (2021). Mental health and its correlates among children and adolescents during COVID-19 school closure: The importance of parent-child discussion. Journal of Affective Disorders, 279, 353–360. https://doi.org/10.1016/j.jad.2020.10.016
Tao, F., Qi, Q., Wang, L., & Nee, A. Y. C. (2019). Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison. Engineering, 5(4), 653–661. https://doi.org/10.1016/j.eng.2019.01.014
Van Engelen, J. E., & Hoos, H. H. (2020). A survey on semi-supervised learning. Machine Learning, 109(2), 373–440. https://doi.org/10.1007/s10994-019-05855-6
Wang, J., Ye, L., Gao, R. X., Li, C., & Zhang, L. (2019). Digital Twin for rotating machinery fault diagnosis in smart manufacturing. International Journal of Production Research, 57(12), 3920–3934. https://doi.org/10.1080/00207543.2018.1552032
Whitelaw, S., Mamas, M. A., Topol, E., & Van Spall, H. G. C. (2020). Applications of digital technology in COVID-19 pandemic planning and response. The Lancet Digital Health, 2(8), e435–e440. https://doi.org/10.1016/S2589-7500(20)30142-4
Wilson, M., Andronesi, O., Barker, P. B., Bartha, R., Bizzi, A., Bolan, P. J., Brindle, K. M., Choi, I., Cudalbu, C., Dydak, U., Emir, U. E., Gonzalez, R. G., Gruber, S., Gruetter, R., Gupta, R. K., Heerschap, A., Henning, A., Hetherington, H. P., Huppi, P. S., … Howe, F. A. (2019). Methodological consensus on clinical proton MRS of the brain: Review and recommendations. Magnetic Resonance in Medicine, 82(2), 527–550. https://doi.org/10.1002/mrm.27742
Zou, H., Guo, L., Xue, H., Zhang, Y., Shen, X., Liu, X., Wang, P., He, X., Dai, G., Jiang, P., Zheng, H., Zhang, B., Xu, C., & Wang, Z. L. (2020). Quantifying and understanding the triboelectric series of inorganic non-metallic materials. Nature Communications, 11(1), 2093. https://doi.org/10.1038/s41467-020-15926-1
Copyright (c) 2024 Mohamad Sudi, Irwan Irwan, Markus Oci, Muhammad Arroyan, Hery Purwosusanto

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.