The Importance of Character Education in the Digital Era for the Future
Article Sidebar
-
Character Education, Digital Era, The Importance
Abstract
This research aims to describe the importance of character education in this digital era for the future. This research is qualitative, descriptive and internet searching research. Basically, education is an effort to improve human resource capabilities so that they have character and can live better independently. Character education is a process of applying moral and religious values ??to students through knowledge, applying these values ??both to oneself, to fellow friends, to educators, and to God Almighty. The demand for education to produce quality students continues to be raised so that the whole community is aware that education is important in this digital era. Basically, all the problems that occur at the educational level include religious, national, mutual cooperation, integrity and independence for students. Looking at current developments, many children in society use technology as entertainment, lack morals and have bad social behavior. Therefore it is necessary to develop a sense of responsibility. So as to form a competent generation. The digital era not only has positive impacts but also negative impacts, and the task of educators, parents and adults is to guide and monitor children's behavior in using digital media, so that children can make maximum use of digital media and obtain the maximum benefits. Good for himself and his life.
Full text article
References
Atiyah, K. K. (2022). Application of The Evans Blue Dye for The Study of Permeability of The Blood Brain Barrier in Rodents. 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 171–175. https://doi.org/10.1109/ISMSIT56059.2022.9932704
Bassano, C., Barile, S., Piciocchi, P., Spohrer, J. C., Iandolo, F., & Fisk, R. (2019). Storytelling about places: Tourism marketing in the digital age. Cities, 87, 10–20. https://doi.org/10.1016/j.cities.2018.12.025
Ben Youssef, K., Leicht, T., & Marongiu, L. (2019). Storytelling in the context of destination marketing: An analysis of conceptualisations and impact measurement. Journal of Strategic Marketing, 27(8), 696–713. https://doi.org/10.1080/0965254X.2018.1464498
Bietti, L. M., Tilston, O., & Bangerter, A. (2019). Storytelling as Adaptive Collective Sensemaking. Topics in Cognitive Science, 11(4), 710–732. https://doi.org/10.1111/tops.12358
Blanco, A. D., & Ramirez, R. (2019). Evaluation of a Sound Quality Visual Feedback System for Bow Learning Technique in Violin Beginners: An EEG Study. Frontiers in Psychology, 10, 165. https://doi.org/10.3389/fpsyg.2019.00165
Boje, C., Guerriero, A., Kubicki, S., & Rezgui, Y. (2020). Towards a semantic Construction Digital Twin: Directions for future research. Automation in Construction, 114, 103179. https://doi.org/10.1016/j.autcon.2020.103179
Brunetti, F., Matt, D. T., Bonfanti, A., De Longhi, A., Pedrini, G., & Orzes, G. (2020). Digital transformation challenges: Strategies emerging from a multi-stakeholder approach. The TQM Journal, 32(4), 697–724. https://doi.org/10.1108/TQM-12-2019-0309
Carnevale, J. B., & Hatak, I. (2020). Employee adjustment and well-being in the era of COVID-19: Implications for human resource management. Journal of Business Research, 116, 183–187. https://doi.org/10.1016/j.jbusres.2020.05.037
Carrillo-Reid, L., & Yuste, R. (2020). Playing the piano with the cortex: Role of neuronal ensembles and pattern completion in perception and behavior. Current Opinion in Neurobiology, 64, 89–95. https://doi.org/10.1016/j.conb.2020.03.014
Carson, S. A., & Kallen, A. N. (2021). Diagnosis and Management of Infertility: A Review. JAMA, 326(1), 65. https://doi.org/10.1001/jama.2021.4788
Chen, S., & Bonanno, G. A. (2020). Psychological adjustment during the global outbreak of COVID-19: A resilience perspective. Psychological Trauma: Theory, Research, Practice, and Policy, 12(S1), S51–S54. https://doi.org/10.1037/tra0000685
Cheung, S. Y., & Ng, K. Y. (2021). Application of the Educational Game to Enhance Student Learning. Frontiers in Education, 6, 623793. https://doi.org/10.3389/feduc.2021.623793
Facer, K. (2019). Storytelling in troubled times: What is the role for educators in the deep crises of the 21st century? Literacy, 53(1), 3–13. https://doi.org/10.1111/lit.12176
Fidan, M., & Tuncel, M. (2019). Integrating augmented reality into problem based learning: The effects on learning achievement and attitude in physics education. Computers & Education, 142, 103635. https://doi.org/10.1016/j.compedu.2019.103635
Fitria, D., Saifudin, S., & Zaman, B. (2020). The Effect of E-Learning on Learning Motivation in Islamic Religious Education Subjects. Halaqa: Islamic Education Journal, 4(2), 113–124. https://doi.org/10.21070/halaqa.v4i2.984
Ghorbani, R., & Ghousi, R. (2020). Comparing Different Resampling Methods in Predicting Students’ Performance Using Machine Learning Techniques. IEEE Access, 8, 67899–67911. https://doi.org/10.1109/ACCESS.2020.2986809
Gopalan, M., & Brady, S. T. (2020). College Students’ Sense of Belonging: A National Perspective. Educational Researcher, 49(2), 134–137. https://doi.org/10.3102/0013189X19897622
Hadjipanayis, A., Efstathiou, E., Altorjai, P., Stiris, T., Valiulis, A., Koletzko, B., & Fonseca, H. (2019). Social media and children: What is the paediatrician’s role? European Journal of Pediatrics, 178(10), 1605–1612. https://doi.org/10.1007/s00431-019-03458-w
Hasriadi, H. (2020). Pengaruh E-Learning Terhadap Hasil Belajar Mahasiswa Pendidikan Agama Islam. IQRO: Journal of Islamic Education, 3(1), 59–70. https://doi.org/10.24256/iqro.v3i1.1429
He, J.-L., Luo, L., Luo, Z.-D., Lyu, J.-X., Ng, M.-Y., Shen, X.-P., & Wen, Z. (2020). Diagnostic performance between CT and initial real-time RT-PCR for clinically suspected 2019 coronavirus disease (COVID-19) patients outside Wuhan, China. Respiratory Medicine, 168, 105980. https://doi.org/10.1016/j.rmed.2020.105980
Hertiavi, M. A. (2020). Penerapan E-Learning dengan Platform Edmodo untuk Meningkatkan Hasil Belajar Mahasiswa. Jurnal Komunikasi Pendidikan, 4(1), 1. https://doi.org/10.32585/jkp.v4i1.442
Kye, B., Han, N., Kim, E., Park, Y., & Jo, S. (2021). Educational applications of metaverse: Possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18, 32. https://doi.org/10.3352/jeehp.2021.18.32
Liang, X., Li, R., Wong, S. H. S., Sum, R. K. W., & Sit, C. H. P. (2021). The impact of exercise interventions concerning executive functions of children and adolescents with attention-deficit/hyperactive disorder: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 18(1), 68. https://doi.org/10.1186/s12966-021-01135-6
Liang, Z., Zhou, K., & Gao, K. (2019). Development of Virtual Reality Serious Game for Underground Rock-Related Hazards Safety Training. IEEE Access, 7, 118639–118649. https://doi.org/10.1109/ACCESS.2019.2934990
Lu, R.-M., Hwang, Y.-C., Liu, I.-J., Lee, C.-C., Tsai, H.-Z., Li, H.-J., & Wu, H.-C. (2020). Development of therapeutic antibodies for the treatment of diseases. Journal of Biomedical Science, 27(1), 1. https://doi.org/10.1186/s12929-019-0592-z
Mitchell-Jones, N., Lawson, K., Bobdiwala, S., Farren, J. A., Tobias, A., Bourne, T., & Bottomley, C. (2020). Association between hyperemesis gravidarum and psychological symptoms, psychosocial outcomes and infant bonding: A two-point prospective case–control multicentre survey study in an inner city setting. BMJ Open, 10(10), e039715. https://doi.org/10.1136/bmjopen-2020-039715
Naul, E., & Liu, M. (2020). Why Story Matters: A Review of Narrative in Serious Games. Journal of Educational Computing Research, 58(3), 687–707. https://doi.org/10.1177/0735633119859904
Pan, Y., Guan, H., Zhou, S., Wang, Y., Li, Q., Zhu, T., Hu, Q., & Xia, L. (2020). Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): A study of 63 patients in Wuhan, China. European Radiology, 30(6), 3306–3309. https://doi.org/10.1007/s00330-020-06731-x
Pang, G., Shen, C., Cao, L., & Hengel, A. V. D. (2022). Deep Learning for Anomaly Detection: A Review. ACM Computing Surveys, 54(2), 1–38. https://doi.org/10.1145/3439950
Pasquadibisceglie, V., Appice, A., Castellano, G., & Malerba, D. (2020). Predictive Process Mining Meets Computer Vision. Dalam D. Fahland, C. Ghidini, J. Becker, & M. Dumas (Ed.), Business Process Management Forum (Vol. 392, hlm. 176–192). Springer International Publishing. https://doi.org/10.1007/978-3-030-58638-6_11
Pasqualotto, A., Parong, J., Green, C. S., & Bavelier, D. (2023). Video Game Design for Learning to Learn. International Journal of Human–Computer Interaction, 39(11), 2211–2228. https://doi.org/10.1080/10447318.2022.2110684
Pires, A. C., Bakala, E., González-Perilli, F., Sansone, G., Fleischer, B., Marichal, S., & Guerreiro, T. (2022). Learning maths with a tangible user interface: Lessons learned through participatory design with children with visual impairments and their educators. International Journal of Child-Computer Interaction, 32, 100382. https://doi.org/10.1016/j.ijcci.2021.100382
Pujiastuti, H., Utami, R. R., & Haryadi, R. (2020). The development of interactive mathematics learning media based on local wisdom and 21st century skills: Social arithmetic concept. Journal of Physics: Conference Series, 1521(3), 032019. https://doi.org/10.1088/1742-6596/1521/3/032019
Purba, A. M. (2021). Whatsapp Grup Sebagai Media Komunikasi Kuliah on Line Dengan E-Learning Di Masa Pandemi Covid 19. Jurnal SOMASI (Sosial Humaniora Komunikasi), 2(2), 87–100. https://doi.org/10.53695/js.v2i2.520
Ramakrishnan, P., Balasingam, B., & Biondi, F. (2021). Cognitive load estimation for adaptive human–machine system automation. Dalam Learning Control (hlm. 35–58). Elsevier. https://doi.org/10.1016/B978-0-12-822314-7.00007-9
Richter, K. P., Clark, L., Wick, J. A., Cruvinel, E., Durham, D., Shaw, P., Shih, G. H., Befort, C. A., & Simari, R. D. (2020). Women Physicians and Promotion in Academic Medicine. New England Journal of Medicine, 383(22), 2148–2157. https://doi.org/10.1056/NEJMsa1916935
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Siddiqui, M. S., Yamada, G., Vuppalanchi, R., Van Natta, M., Loomba, R., Guy, C., Brandman, D., Tonascia, J., Chalasani, N., Neuschwander-Tetri, B., Sanyal, A. J., Allende, D., Dasarathy, S., McCullough, A. J., Penumatsa, R., Dasarathy, J., Lavine, J. E., Abdelmalek, M. F., Bashir, M., … Yates, K. (2019). Diagnostic Accuracy of Noninvasive Fibrosis Models to Detect Change in Fibrosis Stage. Clinical Gastroenterology and Hepatology, 17(9), 1877-1885.e5. https://doi.org/10.1016/j.cgh.2018.12.031
Van Laer, T., Feiereisen, S., & Visconti, L. M. (2019). Storytelling in the digital era: A meta-analysis of relevant moderators of the narrative transportation effect. Journal of Business Research, 96, 135–146. https://doi.org/10.1016/j.jbusres.2018.10.053
Vasan, N., Baselga, J., & Hyman, D. M. (2019). A view on drug resistance in cancer. Nature, 575(7782), 299–309. https://doi.org/10.1038/s41586-019-1730-1
Authors
Copyright (c) 2024 Slamet Pamuji
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
