Utilization of Canva Application as a Learning Media Video Creation
Downloads
Background. Thematic learning at Al-Bina 01 Koto Baru IT Elementary School during the co-19 pandemic has decreased in terms of quality and in the learning process. After research, this happened because of the lack of effectiveness of the learning process and the teacher's lack of optimization in conveying information related to learning material.
Purpose. The purpose of this research is to create lesson media for students so that lessons become more interesting and students are more enthusiastic in learning.
Method. This article The method used in this research is a qualitative method, because qualitative methods are very flexible and accurate. The model used in this test is the Design and Development (DnD) model.
Results. The result of this study is that the canva application is very feasible and good to use as a learning media because, it can make lessons more interesting and fun.
Conclusion. The conclusion of this study is that Canva application-based learning media is fully feasible to use in learning. Its utilisation is very interesting, in a learning situation in the midst of the current corona virus pandemic, the media created is very appropriate and makes it easier for teachers and students to complete the learning system.
Abbas, J., Aman, J., Nurunnabi, M., & Bano, S. (2019). The Impact of Social Media on Learning Behavior for Sustainable Education: Evidence of Students from Selected Universities in Pakistan. Sustainability, 11(6), 1683. https://doi.org/10.3390/su11061683
Anderson, J. T. L., Howell, E. L., Xenos, M. A., Scheufele, D. A., & Brossard, D. (2021). Learning without seeking?: Incidental exposure to science news on social media & knowledge of gene editing. Journal of Science Communication, 20(04), A01. https://doi.org/10.22323/2.20040201
Asongu, S. A., & Odhiambo, N. M. (2019). Basic formal education quality, information technology, and inclusive human development in sub?Saharan Africa. Sustainable Development, 27(3), 419–428. https://doi.org/10.1002/sd.1914
Capkun, G., Corry, S., Dowling, O., Asad Zadeh Vosta Kolaei, F., Takyar, S., Furtado, C., Jónsson, P., Kleinermans, D., Lambert, L., Schiel, A., & Facey, K. (2022). Can we use existing guidance to support the development of robust real-world evidence for health technology assessment/payer decision-making? International Journal of Technology Assessment in Health Care, 38(1), e79. https://doi.org/10.1017/S0266462322000605
Chan, S. C. H., Wan, C. L. J., & Ko, S. (2019). Interactivity, active collaborative learning, and learning performance: The moderating role of perceived fun by using personal response systems. The International Journal of Management Education, 17(1), 94–102. https://doi.org/10.1016/j.ijme.2018.12.004
Chatzara, E., Kotsakis, R., Tsipas, N., Vrysis, L., & Dimoulas, C. (2019). Machine-Assisted Learning in Highly-Interdisciplinary Media Fields: A Multimedia Guide on Modern Art. Education Sciences, 9(3), 198. https://doi.org/10.3390/educsci9030198
Dos Santos, P. H., Neves, S. M., Sant’Anna, D. O., Oliveira, C. H. D., & Carvalho, H. D. (2019). The analytic hierarchy process supporting decision making for sustainable development: An overview of applications. Journal of Cleaner Production, 212, 119–138. https://doi.org/10.1016/j.jclepro.2018.11.270
Exenberger, S., Kumnig, M., Huber, A., Prodinger, W. M., Siller, H., Medicus, E., Brenner, E., Schüßler, G., & Höfer, S. (2021). Communicative and social competence in the medical curriculum of the Medical University of Innsbruck: Learning objectives, content, and teaching methods [Text/html]. GMS Journal for Medical Education; 38(3):Doc59. https://doi.org/10.3205/ZMA001455
Farhan, W., Razmak, J., Demers, S., & Laflamme, S. (2019). E-learning systems versus instructional communication tools: Developing and testing a new e-learning user interface from the perspectives of teachers and students. Technology in Society, 59, 101192. https://doi.org/10.1016/j.techsoc.2019.101192
Fischer, B. M. (2020). Developing and sustaining creativity: Creative processes in Canadian junior college teachers. Thinking Skills and Creativity, 38, 100754. https://doi.org/10.1016/j.tsc.2020.100754
Guo, Q., Liu, Y., Zhao, Y., Li, B., & Yao, Q. (2019). Improved resonance reliability and global sensitivity analysis of multi-span pipes conveying fluid based on active learning Kriging model. International Journal of Pressure Vessels and Piping, 170, 92–101. https://doi.org/10.1016/j.ijpvp.2019.01.016
Hajek, A., & König, H.-H. (2021). Social Isolation and Loneliness of Older Adults in Times of the COVID-19 Pandemic: Can Use of Online Social Media Sites and Video Chats Assist in Mitigating Social Isolation and Loneliness? Gerontology, 67(1), 121–124. https://doi.org/10.1159/000512793
Haryana, M. R. A., Warsono, S., Achjari, D., & Nahartyo, E. (2022). Virtual reality learning media with innovative learning materials to enhance individual learning outcomes based on cognitive load theory. The International Journal of Management Education, 20(3), 100657. https://doi.org/10.1016/j.ijme.2022.100657
Hassan, M. M., Gumaei, A., Alsanad, A., Alrubaian, M., & Fortino, G. (2020). A hybrid deep learning model for efficient intrusion detection in big data environment. Information Sciences, 513, 386–396. https://doi.org/10.1016/j.ins.2019.10.069
Hays, L., & Handler, K. (2020). Good Design is Universal: Using Universal Design Principles to Promote Self-Regulated Learning in Learning Management Systems When Teaching Information Literacy. Journal of Library & Information Services in Distance Learning, 14(2), 127–140. https://doi.org/10.1080/1533290X.2020.1828219
Hermansson, C., Jonsson, S., & Liu, L. (2022). The medium is the message: Learning channels, financial literacy, and stock market participation. International Review of Financial Analysis, 79, 101996. https://doi.org/10.1016/j.irfa.2021.101996
Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533
Hudon, A., Beaudoin, M., Phraxayavong, K., Dellazizzo, L., Potvin, S., & Dumais, A. (2022). Implementation of a machine learning algorithm for automated thematic annotations in avatar: A linear support vector classifier approach. Health Informatics Journal, 28(4), 146045822211424. https://doi.org/10.1177/14604582221142442
Imran, Ghaffar, Z., Alshahrani, A., Fayaz, M., Alghamdi, A. M., & Gwak, J. (2021). A Topical Review on Machine Learning, Software Defined Networking, Internet of Things Applications: Research Limitations and Challenges. Electronics, 10(8), 880. https://doi.org/10.3390/electronics10080880
Jain, P. K., Pamula, R., & Srivastava, G. (2021). A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. Computer Science Review, 41, 100413. https://doi.org/10.1016/j.cosrev.2021.100413
Jerry, P., Masters, Y., & Taveras-Jones, N. (2012). Utopia and a Garden Party. BRILL. https://doi.org/10.1163/9781848881402
Ji, D., Wang, X., & Zhang, T. (2022). Application of New Media in Student Management from the Perspective of Deep Learning and Evaluation and Analysis of Practical Effects. Computational and Mathematical Methods in Medicine, 2022, 1–10. https://doi.org/10.1155/2022/1765448
Kim, E., Park, H., & Jang, J. (2019). Development of a Class Model for Improving Creative Collaboration Based on the Online Learning System (Moodle) in Korea. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 67. https://doi.org/10.3390/joitmc5030067
Kurniasari, I., Siswono, T. Y. E., Setianingsih, R., & Manoy, J. (2022). Mathematics teacher’s ability in inclusion school made learning media with Canva application. 030020. https://doi.org/10.1063/5.0103020
Li, D., Zhi, B., Schoenherr, T., & Wang, X. (2023). Developing capabilities for supply chain resilience in a post-COVID world: A machine learning-based thematic analysis. IISE Transactions, 1–21. https://doi.org/10.1080/24725854.2023.2176951
Nakajima, T. M., & Goode, J. (2020). Lighting Up Learning: Teachers’ Pedagogical Approaches for Mak(e)ing Computing Culturally Responsive in Electronic-Textiles Classrooms. Computing in Science & Engineering, 22(5), 41–50. https://doi.org/10.1109/MCSE.2020.3007164
Nicolaou, C. (2021). Media Trends and Prospects in Educational Activities and Techniques for Online Learning and Teaching through Television Content: Technological and Digital Socio-Cultural Environment, Generations, and Audiovisual Media Communications in Education. Education Sciences, 11(11), 685. https://doi.org/10.3390/educsci11110685
Rijal, H. B., Yoshida, K., Humphreys, M. A., & Nicol, J. F. (2021). Development of an adaptive thermal comfort model for energy-saving building design in Japan. Architectural Science Review, 64(1–2), 109–122. https://doi.org/10.1080/00038628.2020.1747045
Stojan, J., Haas, M., Thammasitboon, S., Lander, L., Evans, S., Pawlik, C., Pawilkowska, T., Lew, M., Khamees, D., Peterson, W., Hider, A., Grafton-Clarke, C., Uraiby, H., Gordon, M., & Daniel, M. (2022). Online learning developments in undergraduate medical education in response to the COVID-19 pandemic: A BEME systematic review: BEME Guide No. 69. Medical Teacher, 44(2), 109–129. https://doi.org/10.1080/0142159X.2021.1992373
Suartama, I. K., Setyosari, P., Sulthoni, S., & Ulfa, S. (2019). Development of an Instructional Design Model for Mobile Blended Learning in Higher Education. International Journal of Emerging Technologies in Learning (iJET), 14(16), 4. https://doi.org/10.3991/ijet.v14i16.10633
Tang, Y. M., Chen, P. C., Law, K. M. Y., Wu, C. H., Lau, Y., Guan, J., He, D., & Ho, G. T. S. (2021). Comparative analysis of Student’s live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & Education, 168, 104211. https://doi.org/10.1016/j.compedu.2021.104211
Ulucak, R., Danish, & Khan, S. U. (2020). Does information and communication technology affect CO 2 mitigation under the pathway of sustainable development during the mode of globalization? Sustainable Development, 28(4), 857–867. https://doi.org/10.1002/sd.2041
Wang, Y. (2022). RETRACTED: Music education: Which is more effective – Traditional learning or the introduction of modern technologies to increase student motivation? Learning and Motivation, 77, 101783. https://doi.org/10.1016/j.lmot.2022.101783
Wikandari, R., Putro, A. W., Suroto, D. A., Purwandari, F. A., & Setyaningsih, W. (2021). Combining a Flipped Learning Approach and an Animated Video to Improve First-Year Undergraduate Students’ Understanding of Electron Transport Chains in a Biochemistry Course. Journal of Chemical Education, 98(7), 2236–2242. https://doi.org/10.1021/acs.jchemed.0c01477
Copyright (c) 2023 Rifki Zaitul Ikhlas, Rusdee Japakiya, Tika Muzayanah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
