Discovering the technical terms on digital learning transformation in the COVID-19 era
Abstract
Introduction. The pandemic has triggered researchers to measure the success of the methods and platforms used in digital learnings. This study aims to discover technical terms in the study of digital learning transformation in the COVID-19 era.
Data Collection Methods. Using the Web of Science (WoS) database to search and collect publication data on digital learning transformation in the COVID-19, this paper collected 432 articles from November 2019 to August 2021.
Data Analysis. The data were descriptively analyzed using bibliometric and text analysis by applying clustering to the paper dataset.
Results and Discussion. The results of this study show three technical field clustersand terms in digital learning transformation studies. These include virtual clinical trials, emergency remote learning, and image augmentation.. In addition, this paper show a collaborative network of authors and countries in the study of digital transformation in the COVID-19 era.
Conclusion.Many new terms have been obtained in the transformation of digital learning studies in the COVID-19 era, which is not only “online learning”.
References
Abdelsadek, Y., Chelghoum, K., Herrmann, F., Kacem, I., & Otjacques, B. (2018). Community extraction and visualization in social networks applied to Iwitter. Information Sciences, 424, 204–223. https://doi.org/10.1016/j.ins.2017.09.022
Aliyu, M. B. (2017). Efficiency of boolean search strings for information retrieval. American Journal of Engineering Research, 6(11), 216-222.
Ampornphan, P., & Tongngam, S. (2020). Exploring technology influencers from patent data using association rule mining and social network analysis. Information, 11(6), 1-19. https://doi.org/10.3390/info11060333
Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An r-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-979. https://doi.org/10.1016/j.joi.2017.08.007
Banerjee, D., Das, D., Pal, S., Paul, S. R., Debnath, A., & Reza, M. (2021). Effect of covid-19 on digital transformations in teaching learning methodology and its consequences in society: A review. Journal of Physics: Conference Series, 1797(1), 1-8. https://doi.org/10.1088/1742-6596/1797/1/012066
Bokolo, A. J., & Noel, S. (2021). Examining the adoption of emergency remote teaching and virtual learning during and after covid-19 pandemic. International Journal of Educational Management, 1-18. https://doi.org/10.1108/IJEM-08-2020-0370
Chaeruman, U. A. (2017). PEDATI Model Sistem Pembelajaran Blended, Panduan Merancang Mata Kuliah Daring, SPADA Indonesia. Jakarta: Direktorat Pembelajaran KemristekDikti.
Darmalaksana, W., Hambali, R. Y. A., Masrur, A., & Muhlas. (2020). Analisis pembelajaran online masa wfh pandemic COVID-19 sebagai tantangan pemimpin digital abad 21. http://digilib.uinsgd.ac.id/30434/1/11042020%2015.30%20KTI.pdf
Devi Herliandry, L., Enjelina Suban, M., & Kuswanto, H. (2020). Pembelajaran pada masa pandemi COVID-19. Jurnal Teknologi Pendidikan, 22(1), 65-70. https://doi.org/10.21009/jtp.v22i1.15286
Feng, Y., Zhu, Q., & Lai, K.-H. (2017). Corporate social responsibility for supply chain management: A literature review and bibliometric analysis. Journal of Cleaner Production, 158, 296–307. https://doi.org/10.1016/j.jclepro.2017.05.018
Grover, P., & Kar, A. K. (2017). Big data analytics: A review on theoretical contributions and tools used in literature. Global Journal of Flexible Systems Management, 18(3), 203–229. https://doi.org/10.1007/s40171-017-0159-3
Humphreys, A., & Wang, R. J.-H. (2018). Automated text analysis for consumer research. Journal of Consumer Research, 44(6), 1274–1306. https://doi.org/10.1093/jcr/ucx104
Irhandayaningsih, A. (2020). Pengukuran literasi digital pada peserta pembelajaran daring di masa pandemi COVID-19. ANUVA, 4(2), 231–240. 10.14710/anuva.4.2.231-240.
Jordan, J., Wachsmann, M., Hoisington, S., Gonzalez, V., Valle, R., Lambert, J., Aleisa, M., Wilcox, R., Benge, C. L., & Onwuegbuzie, A. J. (2017). Collaboration patterns as a function of article genre among mixed researchers: A mixed methods bibliometric study. Journal of Educational Issues, 3(1), 83-108. https://doi.org/10.5296/jei.v3i1.10699
Jung, H., & Lee, B. G. (2020). Research trends in text mining: Semantic network and main path analysis of selected journals. Expert Systems with Applications, 162, 113851. https://doi.org/10.1016/j.eswa.2020.113851
Karagozlu, D. (2021). Creating a sustainable education environment with augmented reality technology. Sustainability, 13(11), 1-15. https://doi.org/10.3390/su13115851
Kumar, S., Kar, A. K., & Ilavarasan, P. V. (2021). Applications of text mining in services management: A systematic literature review. International Journal of Information Management Data Insights, 1(1), 1-14. https://doi.org/10.1016/j.jjimei.2021.100008
Kurniasari, A., Pribowo, F. S. P., & Putra, D. A. (2020). Analisis efektivitas pelaksanaan belajar dari rumah (bdr) selama pandemi COVID-19. Jurnal Review Pendidikan Dasar: Jurnal Kajian Pendidikan dan Hasil Penelitian, 6(3), 246-253. https://doi.org/10.26740/jrpd.v6n3
Lubis, F., & Yudhi, A. (2021). Study development of digital teaching materials support online learning during COVID-19. Journal of Physics: Conference Series, 1811, 012029. https://doi.org/10.1088/1742-6596/1811/1/012029
Ndassimba, E., Ndassimba, N. G., Kossingu, G. M., & Ouya, S. (2021). Feasibility of interconnecting the University of Bangui and peripheral areas via the TVWS for e-learning in the context of COVID-19. 23rd International Conference on Advanced Communication Technology, ICACT 2021, 7-13. https://doi: 10.23919/ICACT51234.2021.9370920
Nuci, K. P., Tahir, R., Wang, A. I., & Imran, A. S. (2021). Game-based digital quiz as a tool for improving students’ engagement and learning in online lectures. IEEE Access, 9, 91220-91234. https://doi: 10.1109/ACCESS.2021.3088583.
Petrie. (2020). Spotlight: Quality education for all during covid-19 crisis (hundredresearch report #01). https://hundred.org/en/collections/quality-education-for-all-during-coronavirus
Pokhrel, S., & Chhetri, R. (2021). A literature review on impact of covid-19 pandemic on teaching and learning. Higher Education for the Future, 8(1), 133–141. https://doi.org/10.1177/2347631120983481
Ranjbari, M., Saidani, M., Shams Esfandabadi, Z., Peng, W., Lam, S. S., Aghbashlo, M., Quatraro, F., & Tabatabaei, M. (2021). Two decades of research on waste management in the circular economy: Insights from bibliometric, text mining, and content analyses. Journal of Cleaner Production, 314, 128009. https://doi.org/10.1016/j.jclepro.2021.128009
Ratnaningsih, N., Ni’Mah, K., & Hidayat, E. (2021). COVID-19 the earliest for digital learning in mathematics: An overview from technology literacy. Journal of Physics: Conference Series, 1819(1), 1-6. https://doi.org/10.1088/1742-6596/1819/1/012027
Saheb, T., & Saheb, M. (2019). Analyzing and visualizing knowledge structures of health informatics from 1974 to 2018: A bibliometric and social network analysis. Healthcare Informatics Research, 25(2), 61-72. https://doi.org/10.4258/hir.2019.25.2.61
Sheikh, A., Anderson, M., Albala, S., Casadei, B., Bryony, D. F., Richards, M., Taylor, D., Tibble, H., & Mossialos, E. (2021). Health information technology and digital innovation for national learning health and care systems. Health Policy, 3(6), E383-E396. https://doi.org/10.1016/S2589-7500(21)00005-4
Suyetno, A., & Yoto. (2021). Learning media development based on CNC simulator as the digital tool to support the CNC practice learning during COVID-19 new normal. Journal of Physics: Conference Series, 1833(1), 1-6. https://doi.org/10.1088/1742-6596/1833/1/012009
Zimmerman, J. (2020). Coronavirus and the great online-learning experiment. https://www.chronicle.com/article/coronavirus-and-the-great-online-learning-experiment/.
Copyright (c) 2022 Berkala Ilmu Perpustakaan dan Informasi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Berkala Ilmu Perpustakaan dan Informasi is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
- Articles published in Berkala Ilmu Perpustakaan dan Informasi are licensed under a Creative Commons Attribution-ShareAlike 4.0 International license. You are free to copy, transform, or redistribute articles for any lawful purpose in any medium, provided you give appropriate credit to the original author(s) and Berkala Ilmu Perpustakaan dan Informasi, link to the license, indicate if changes were made, and redistribute any derivative work under the same license.
- Copyright on articles is retained by the respective author(s), without restrictions. A non-exclusive license is granted to Berkala Ilmu Perpustakaan dan Informasi to publish the article and identify itself as its original publisher, along with the commercial right to include the article in a hardcopy issue for sale to libraries and individuals.
- By publishing in Berkala Ilmu Perpustakaan dan Informasi, authors grant any third party the right to use their article to the extent provided by the Creative Commons Attribution-ShareAlike 4.0 International license.
