Use of the Internet as an Online Learning Media

Ali Mufron; Lie Jie; Cai Jixiong; Zhang Wei; Shanshan Xu

doi:10.55849/alhijr.v3i3.698

Authors

Ali Mufron
alimufron86@gmail.com
Sekolah Tinggi Agama Islam Nahdlatul Ulama, Indonesia
Lie Jie The University of Tokyo, Japan
Cai Jixiong Universidad Central de Venezuela, Venezuela, Bolivarian Republic of
Zhang Wei University of Missouri, Colombia
Shanshan Xu Texila American University, Guyana

Vol. 3 No. 3 (2024)

Articles

Accepted September 23, 2024

Published September 30, 2024

Downloads

PDF

Abstract
How to Cite
Metrics
References
License

The use of online media is the easiest way to use nowadays, access is easy to reach wherever you are. Online media can be accessed by every group, especially in the world of education. In this increasingly hot era of globalization, educators are required to be more creative and innovative in using online media. Online media is media in which there are millions of pieces of knowledge which are very useful for educators and students in gaining knowledge. There are online media that can be accessed by educators and students, such as: goggle, e-book goggle scholar. The objectives of the research include 1) To make it easier for students to access the material 2) To find information about the material 3) To teach students about technological advances 4) To make students aware of world developments quickly. The method used in this research is a quantitative method which is carried out by means of an online-based survey. The results of this research are how the use of online media in the world of education can increase students' enthusiasm in gaining knowledge, make students not feel bored in the learning process, help educators in finding material to be taught to students. The researcher's conclusion about online media is that it is very helpful in finding the knowledge that educators and students need, making it easier to access learning. The limitation of this research is that the researcher does not know whether the educator participants are really using online media to find material only, the researcher hopes that future researchers will make further observations regarding online media.

Ahmed, W., Vidal-Alaball, J., Downing, J., & López Seguí, F. (2020). COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data. Journal of Medical Internet Research, 22(5), e19458. https://doi.org/10.2196/19458

Ahmed, YA, Ahmad, MN, Ahmad, N., & Zakaria, NH (2019). Social media for knowledge-sharing: A systematic literature review. Telematics and Informatics, 37, 72–112. https://doi.org/10.1016/j.tele.2018.01.015

Alanzi, T. (2021). A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak. Journal of Multidisciplinary Healthcare, Volume 14, 45–57. https://doi.org/10.2147/JMDH.S285014

Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004

Allen, J. J., Anderson, C. A., & Bushman, B. J. (2018). The General Aggression Model. Current Opinion in Psychology, 19, 75–80. https://doi.org/10.1016/j.copsyc.2017.03.034

Al-Mohaithef, M., & Padhi, B. K. (2020). Determinants of COVID-19 Vaccine Acceptance in Saudi Arabia: A Web-Based National Survey. Journal of Multidisciplinary Healthcare, Volume 13, 1657–1663. https://doi.org/10.2147/JMDH.S276771

Apuke, O.D., & Omar, B. (2021). Fake news and COVID-19: Modeling the predictors of fake news sharing among social media users. Telematics and Informatics, 56, 101475. https://doi.org/10.1016/j.tele.2020.101475

Archibald, M.M., Ambagtsheer, R.C., Casey, M.G., & Lawless, M. (2019). Using Zoom Videoconferencing for Qualitative Data Collection: Perceptions and Experiences of Researchers and Participants. International Journal of Qualitative Methods, 18, 160940691987459. https://doi.org/10.1177/1609406919874596

Belkin, M., Hsu, D., Ma, S., & Mandal, S. (2019). Reconciling modern machine-learning practice and the classical bias–variance trade-off. Proceedings of the National Academy of Sciences, 116(32), 15849–15854. https://doi.org/10.1073/pnas.1903070116

Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742. https://doi.org/10.1080/00207543.2017.1402140

Bhimani, H., Mention, A.-L., & Barlatier, P.-J. (2019). Social media and innovation: A systematic literature review and future research directions. Technological Forecasting and Social Change, 144, 251–269. https://doi.org/10.1016/j.techfore.2018.10.007

Blake, H., Bermingham, F., Johnson, G., & Tabner, A. (2020). Mitigating the Psychological Impact of COVID-19 on Healthcare Workers: A Digital Learning Package. International Journal of Environmental Research and Public Health, 17(9), 2997. https://doi.org/10.3390/ijerph17092997

Brown, A., & Shenker, N. (2021). Experiences of breastfeeding during COVID- ?19: Lessons for future practical and emotional support. Maternal & Child Nutrition, 17(1). https://doi.org/10.1111/mcn.13088

Cabero Almenara, J., & Martínez Gimeno, A. (2019). Las TIC y la formación inicial de los docentes. Modelos and digital competences. Professorado, Revista de Currículum y Formación Del Professorado, 23(3), 247–268. https://doi.org/10.30827/profesorado.v23i3.9421

Chopra, K., Gupta, K., & Lambora, A. (2019). Future Internet: The Internet of Things-A Literature Review. 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 135–139. https://doi.org/10.1109/COMITCon.2019.8862269

Fabiano, N. (2017). Internet of Things and Blockchain: Legal Issues and Privacy. The Challenge for a Privacy Standard. 2017 IEEE International Conference on Internet of Things (IThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 727–734. https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.112

Geldsetzer, P. (2020). Use of Rapid Online Surveys to Assess People's Perceptions During Infectious Disease Outbreaks: A Cross-sectional Survey on COVID-19. Journal of Medical Internet Research, 22(4), e18790. https://doi.org/10.2196/18790

Ghritlahre, H.K., & Prasad, R.K. (2018). Application of ANN technique to predict the performance of solar collector systems—A review. Renewable and Sustainable Energy Reviews, 84, 75–88. https://doi.org/10.1016/j.rser.2018.01.001

Hassan, S.S., Williams, G.A., & Jaiswal, A.K. (2018). Emerging technologies for the pretreatment of lignocellulosic biomass. Bioresource Technology, 262, 310–318. https://doi.org/10.1016/j.biortech.2018.04.099

Horigian, V.E., Schmidt, R.D., & Feaster, D.J. (2021). Loneliness, Mental Health, and Substance Use among US Young Adults during COVID-19. Journal of Psychoactive Drugs, 53(1), 1–9. https://doi.org/10.1080/02791072.2020.1836435

Jahanbakht, M., Xiang, W., Hanzo, L., & Rahimi Azghadi, M. (2021). Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 23(2), 904–956. https://doi.org/10.1109/COMST.2021.3053118

Johnson, S., Dalton-Locke, C., Vera San Juan, N., Foye, U., Oram, S., Papamichail, A., Landau, S., Rowan Olive, R., Jeynes, T., Shah, P., Sheridan Rains, L., Lloyd-Evans, B., Carr, S., Killaspy, H., Gillard, S., Simpson, A., The COVID-19 Mental Health Policy Research Unit Group, Bell , A., Bentivegna, F., … Tzouvara, V. (2021). Impact on mental health care and on mental health service users of the COVID-19 pandemic: A mixed methods survey of UK mental health care staff. Social Psychiatry and Psychiatric Epidemiology, 56(1), 25–37. https://doi.org/10.1007/s00127-020-01927-4

Khan, M.J., Khan, H.S., Yousaf, A., Khurshid, K., & Abbas, A. (2018). Modern Trends in Hyperspectral Image Analysis: A Review. IEEE Access, 6, 14118–14129. https://doi.org/10.1109/ACCESS.2018.2812999

Mamun, MA, Sakib, N., Gozal, D., Bhuiyan, AI, Hossain, S., Bodrud-Doza, Md., Al Mamun, F., Hosen, I., Safiq, MB, Abdullah, AH, Sarker , Md. A., Rayhan, I., Sikder, Md. T., Muhit, M., Lin, C.-Y., Griffiths, M.D., & Pakpour, A.H. (2021). The COVID-19 pandemic and serious psychological consequences in Bangladesh: A population-based nationwide study. Journal of Affective Disorders, 279, 462–472. https://doi.org/10.1016/j.jad.2020.10.036

Meel, P., & Vishwakarma, D. K. (2020). Fake news, rumors, information pollution in social media and web: A contemporary survey of state-of-the-arts, challenges and opportunities. Expert Systems with Applications, 153, 112986. https://doi.org/10.1016/j.eswa.2019.112986

Musumeci, F., Rottondi, C., Nag, A., Macaluso, I., Zibar, D., Ruffini, M., & Tornatore, M. (2019). An Overview on Application of Machine Learning Techniques in Optical Networks. IEEE Communications Surveys & Tutorials, 21(2), 1383–1408. https://doi.org/10.1109/COMST.2018.2880039

Naparstek, O., & Cohen, K. (2019). Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access. IEEE Transactions on Wireless Communications, 18(1), 310–323. https://doi.org/10.1109/TWC.2018.2879433

Oteros-Rozas, E., Martín-López, B., Fagerholm, N., Bieling, C., & Plieninger, T. (2018). Using social media photos to explore the relationship between cultural ecosystem services and landscape features across five European sites. Ecological Indicators, 94, 74–86. https://doi.org/10.1016/j.ecolind.2017.02.009

Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127–182. https://doi.org/10.1007/s10845-018-1433-8

Patra, J.K., Das, G., Fraceto, L.F., Campos, EVR, Rodriguez-Torres, M. del P., Acosta-Torres, L.S., Diaz-Torres, L.A., Grillo, R., Swamy, MK, Sharma, S., Habtemariam, S., & Shin, H.-S. (2018). Nano based drug delivery systems: Recent developments and future prospects. Journal of Nanobiotechnology, 16(1), 71. https://doi.org/10.1186/s12951-018-0392-8

Radianti, J., Majchrzak, TA, Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778

Sadiq, S., Umer, M., Ullah, S., Mirjalili, S., Rupapara, V., & Nappi, M. (2021). Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning. Expert Systems with Applications, 181, 115111. https://doi.org/10.1016/j.eswa.2021.115111

Shafi, M., Liu, J., & Ren, W. (2020). Impact of COVID-19 pandemic on micro, small, and medium-sized Enterprises operating in Pakistan. Research in Globalization, 2, 100018. https://doi.org/10.1016/j.resglo.2020.100018

Sisinni, E., Saifullah, A., Han, S., Jennehag, U., & Gidlund, M. (2018). Industrial Internet of Things: Challenges, Opportunities, and Directions. IEEE Transactions on Industrial Informatics, 14(11), 4724–4734. https://doi.org/10.1109/TII.2018.2852491

Soda, N., Rehm, BHA, Sonar, P., Nguyen, N.-T., & Shiddiky, MJA (2019). Advanced liquid biopsy technologies for circulating biomarker detection. Journal of Materials Chemistry B, 7(43), 6670–6704. https://doi.org/10.1039/C9TB01490J

Tangcharoensathien, V., Calleja, N., Nguyen, T., Purnat, T., D'Agostino, M., Garcia-Saiso, S., Landry, M., Rashidian, A., Hamilton, C., AbdAllah , A., Ghiga, I., Hill, A., Hougendobler, D., van Andel, J., Nunn, M., Brooks, I., Sacco, P.L., De Domenico, M., Mai, P., … Briand, S. (2020). Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation. Journal of Medical Internet Research, 22(6), e19659. https://doi.org/10.2196/19659

Terns, M. P. (2018). CRISPR-Based Technologies: Impact of RNA-Targeting Systems. Molecular Cell, 72(3), 404–412. https://doi.org/10.1016/j.molcel.2018.09.018

Tsao, S.-F., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., & Butt, Z.A. (2021a). What social media told us in the time of COVID-19: A scoping review. The Lancet Digital Health, 3(3), e175–e194. https://doi.org/10.1016/S2589-7500(20)30315-0

Tsao, S.-F., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., & Butt, Z.A. (2021b). What social media told us in the time of COVID-19: A scoping review. The Lancet Digital Health, 3(3), e175–e194. https://doi.org/10.1016/S2589-7500(20)30315-0

Verma, P., & Sinha, N. (2018). Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service. Technological Forecasting and Social Change, 126, 207–216. https://doi.org/10.1016/j.techfore.2017.08.013

Wang, Y., Ruiz Diaz, D.F., Chen, K.S., Wang, Z., & Adroher, XC (2020). Materials, technological status, and fundamentals of PEM fuel cells – A review. Materials Today, 32, 178–203. https://doi.org/10.1016/j.mattod.2019.06.005

Xu, X., Han, M., Li, T., Sun, W., Wang, D., Fu, B., Zhou, Y., Zheng, Zhang, X., Pan, A., & Wei, H. (2020). Effective treatment of severe COVID-19 patients with tocilizumab. Proceedings of the National Academy of Sciences, 117(20), 10970–10975. https://doi.org/10.1073/pnas.2005615117

Zhang, C., Mortuza, S. M., He, B., Wang, Y., & Zhang, Y. (2018). Templates- ?based and free modeling of I- ?TASSER and QUARK pipelines using predicted contact maps in CASP12. Proteins: Structure, Function, and Bioinformatics, 86(S1), 136–151. https://doi.org/10.1002/prot.25414

Zhang, Z., Xiao, Y., Ma, Z., Xiao, M., Ding, Z., Lei, X., Karagiannidis, G. K., & Fan, P. (2019). 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies. IEEE Vehicular Technology Magazine, 14(3), 28–41. https://doi.org/10.1109/MVT.2019.2921208