Utilisation of Powtoon Platform as Learning Media and Improving Student Achievement
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The development of information technology is increasingly advanced, the world of education should also be able to see opportunities that can be utilized to support the learning process. Powtoon is one of the applications used to do online presentations using interesting animation features such as handwriting animation, cartoons, livelier transitions, and simpler time line arrangements. The purpose of this study was to determine the benefits of the powtoon platfroom as a learning media and improve student achievement. This research uses quantitative research with a survey model, survey tools using google from. The results of this study explain that powtoon can be made as a learning media with interesting features, so that it can increase student understanding in learning. The conclusion of this study explains that the benefits of the powtoon platform as a learning media are very effective for teachers to use in a more effective learning process so that it can improve student achievement. The limitation of this study is that researchers only utilize the powtoon application as a platform to improve student achievement, therefore further research should be able to conduct research aimed at developing the powtoon application as a learning media that can increase student motivation, enthusiasm and activeness in discussions.
Aflalo, E., Zana, L., & Huri, T. (2018). The interactive whiteboard in primary school science and interaction. Interactive Learning Environments, 26(4), 525–538. https://doi.org/10.1080/10494820.2017.1367695
Alavi, B., Tavana, M., & Mina, H. (2021). A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy. Sustainable Production and Consumption, 27, 905–920. https://doi.org/10.1016/j.spc.2021.02.015
Arbyn, M., Weiderpass, E., Bruni, L., de Sanjosé, S., Saraiya, M., Ferlay, J., & Bray, F. (2020). Estimates of incidence and mortality of cervical cancer in 2018: A worldwide analysis. The Lancet Global Health, 8(2), e191–e203. https://doi.org/10.1016/S2214-109X(19)30482-6
Bakri, F., Hanif, F., & Rustana, C. (2021). The Powtoon video in Instagram: The learning physics fun in social media. 020014. https://doi.org/10.1063/5.0037611
Basriyah, K., Sulisworo, D., Maruto, G., Toifur, M., & Rahman, N. H. A. (2020). Effects of the Flipped Classroom on Understanding the Thermodynamic Concept at High School Students. Universal Journal of Educational Research, 8(3B), 51–58. https://doi.org/10.13189/ujer.2020.081506
Brannigan, A. (2021). The archival turn in classical social psychology: Some recent reports. Theory & Psychology, 31(1), 138–146. https://doi.org/10.1177/0959354320920367
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 68(6), 394–424. https://doi.org/10.3322/caac.21492
Carrillo, C., & Flores, M. A. (2020). COVID-19 and teacher education: A literature review of online teaching and learning practices. European Journal of Teacher Education, 43(4), 466–487. https://doi.org/10.1080/02619768.2020.1821184
Chan, J. F.-W., Kok, K.-H., Zhu, Z., Chu, H., To, K. K.-W., Yuan, S., & Yuen, K.-Y. (2020). Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhan. Emerging Microbes & Infections, 9(1), 221–236. https://doi.org/10.1080/22221751.2020.1719902
Chang, H., Hu, R., Zou, Y., Quan, X., Zhong, N., Zhao, S., & Sun, Y. (2020). Highly efficient reverse osmosis concentrate remediation by microalgae for biolipid production assisted with electrooxidation. Water Research, 174, 115642. https://doi.org/10.1016/j.watres.2020.115642
Chu, D. K. W., Pan, Y., Cheng, S. M. S., Hui, K. P. Y., Krishnan, P., Liu, Y., Ng, D. Y. M., Wan, C. K. C., Yang, P., Wang, Q., Peiris, M., & Poon, L. L. M. (2020). Molecular Diagnosis of a Novel Coronavirus (2019-nCoV) Causing an Outbreak of Pneumonia. Clinical Chemistry, 66(4), 549–555. https://doi.org/10.1093/clinchem/hvaa029
Delgado, P., Vargas, C., Ackerman, R., & Salmerón, L. (2018). Don’t throw away your printed books: A meta-analysis on the effects of reading media on reading comprehension. Educational Research Review, 25, 23–38. https://doi.org/10.1016/j.edurev.2018.09.003
Durbin, R. P. (1975). Letter: Acid secretion by gastric mucous membrane. The American Journal of Physiology, 229(6), 1726. https://doi.org/10.1152/ajplegacy.1975.229.6.1726
Fernández-Gutiérrez, M., Gimenez, G., & Calero, J. (2020). Is the use of ICT in education leading to higher student outcomes? Analysis from the Spanish Autonomous Communities. Computers & Education, 157, 103969. https://doi.org/10.1016/j.compedu.2020.103969
Fitra, J., & Maksum, H. (2021). Efektivitas Media Pembelajaran Interaktif dengan Aplikasi Powntoon pada Mata Pelajaran Bimbingan TIK. Jurnal Pedagogi Dan Pembelajaran, 4(1), 1. https://doi.org/10.23887/jp2.v4i1.31524
Gong, E., Pauly, J. M., Wintermark, M., & Zaharchuk, G. (2018). Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI: Deep Learning Reduces Gadolinium Dose. Journal of Magnetic Resonance Imaging, 48(2), 330–340. https://doi.org/10.1002/jmri.25970
Guo, Y., Yang, L., Ji, H., & Zhao, Q. (2018). Caring characters and professional identity among graduate nursing students in China-A cross sectional study. Nurse Education Today, 65, 150–155. https://doi.org/10.1016/j.nedt.2018.02.039
Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1·9 million participants. The Lancet Global Health, 6(10), e1077–e1086. https://doi.org/10.1016/S2214-109X(18)30357-7
Hassan, G., ElMaradny, M., Ibrahim, M. A., Rashwan, A. M., & Hassanein, H. S. (2018). Energy Efficiency Analysis of Centralized-Synchronous LoRa-based MAC Protocols. 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 999–1004. https://doi.org/10.1109/IWCMC.2018.8450523
Kamilaris, A., & Prenafeta-Boldú, F. X. (2018). Deep learning in agriculture: A survey. Computers and Electronics in Agriculture, 147, 70–90. https://doi.org/10.1016/j.compag.2018.02.016
Kang, W.-C., & McAuley, J. (2018). Self-Attentive Sequential Recommendation. 2018 IEEE International Conference on Data Mining (ICDM), 197–206. https://doi.org/10.1109/ICDM.2018.00035
Kaufmann, E., Gehrig, M., Foehn, P., Ranftl, R., Dosovitskiy, A., Koltun, V., & Scaramuzza, D. (2019). Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. 2019 International Conference on Robotics and Automation (ICRA), 690–696. https://doi.org/10.1109/ICRA.2019.8793631
Koehler, F., Koehler, K., Deckwart, O., Prescher, S., Wegscheider, K., Kirwan, B.-A., Winkler, S., Vettorazzi, E., Bruch, L., Oeff, M., Zugck, C., Doerr, G., Naegele, H., Störk, S., Butter, C., Sechtem, U., Angermann, C., Gola, G., Prondzinsky, R., … Stangl, K. (2018). Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): A randomised, controlled, parallel-group, unmasked trial. The Lancet, 392(10152), 1047–1057. https://doi.org/10.1016/S0140-6736(18)31880-4
König, L. (2021). Podcasts in higher education: Teacher enthusiasm increases students’ excitement, interest, enjoyment, and learning motivation. Educational Studies, 47(5), 627–630. https://doi.org/10.1080/03055698.2019.1706040
Kuhfeld, M., Soland, J., Tarasawa, B., Johnson, A., Ruzek, E., & Liu, J. (2020). Projecting the Potential Impact of COVID-19 School Closures on Academic Achievement. Educational Researcher, 49(8), 549–565. https://doi.org/10.3102/0013189X20965918
Lei, H., Cui, Y., & Zhou, W. (2018). Relationships between student engagement and academic achievement: A meta-analysis. Social Behavior and Personality: An International Journal, 46(3), 517–528. https://doi.org/10.2224/sbp.7054
Letunic, I., & Bork, P. (2019). Interactive Tree Of Life (iTOL) v4: Recent updates and new developments. Nucleic Acids Research, 47(W1), W256–W259. https://doi.org/10.1093/nar/gkz239
Li, S., Wang, Y., Xue, J., Zhao, N., & Zhu, T. (2020). The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users. International Journal of Environmental Research and Public Health, 17(6), 2032. https://doi.org/10.3390/ijerph17062032
Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2020). Focal Loss for Dense Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(2), 318–327. https://doi.org/10.1109/TPAMI.2018.2858826
Lundervold, A. S., & Lundervold, A. (2019). An overview of deep learning in medical imaging focusing on MRI. Zeitschrift Für Medizinische Physik, 29(2), 102–127. https://doi.org/10.1016/j.zemedi.2018.11.002
Mahoney, J. L., Weissberg, R. P., Greenberg, M. T., Dusenbury, L., Jagers, R. J., Niemi, K., Schlinger, M., Schlund, J., Shriver, T. P., VanAusdal, K., & Yoder, N. (2021). Systemic social and emotional learning: Promoting educational success for all preschool to high school students. American Psychologist, 76(7), 1128–1142. https://doi.org/10.1037/amp0000701
Muliyati, D., Adillah, S., & Bakri, F. (2021). Physics learning through video by PowToon. 020020. https://doi.org/10.1063/5.0037466
Osei-Frimpong, K., & McLean, G. (2018). Examining online social brand engagement: A social presence theory perspective. Technological Forecasting and Social Change, 128, 10–21. https://doi.org/10.1016/j.techfore.2017.10.010
Perez-Riverol, Y., Csordas, A., Bai, J., Bernal-Llinares, M., Hewapathirana, S., Kundu, D. J., Inuganti, A., Griss, J., Mayer, G., Eisenacher, M., Pérez, E., Uszkoreit, J., Pfeuffer, J., Sachsenberg, T., Y?lmaz, ?., Tiwary, S., Cox, J., Audain, E., Walzer, M., … Vizcaíno, J. A. (2019). The PRIDE database and related tools and resources in 2019: Improving support for quantification data. Nucleic Acids Research, 47(D1), D442–D450. https://doi.org/10.1093/nar/gky1106
Rajkumar, R. P. (2020). COVID-19 and mental health: A review of the existing literature. Asian Journal of Psychiatry, 52, 102066. https://doi.org/10.1016/j.ajp.2020.102066
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135. https://doi.org/10.1080/00207543.2018.1533261
Sisk, V. F., Burgoyne, A. P., Sun, J., Butler, J. L., & Macnamara, B. N. (2018). To What Extent and Under Which Circumstances Are Growth Mind-Sets Important to Academic Achievement? Two Meta-Analyses. Psychological Science, 29(4), 549–571. https://doi.org/10.1177/0956797617739704
Skoe, E., & Karayanidi, K. (2019). Bilingualism and Speech Understanding in Noise: Auditory and Linguistic Factors. Journal of the American Academy of Audiology, 30(02), 115–130. https://doi.org/10.3766/jaaa.17082
Swann, J. W., Garden, O. A., Fellman, C. L., Glanemann, B., Goggs, R., LeVine, D. N., Mackin, A. J., & Whitley, N. T. (2019). ACVIM consensus statement on the treatment of immune?mediated hemolytic anemia in dogs. Journal of Veterinary Internal Medicine, 33(3), 1141–1172. https://doi.org/10.1111/jvim.15463
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019). Digital Twin in Industry: State-of-the-Art. IEEE Transactions on Industrial Informatics, 15(4), 2405–2415. https://doi.org/10.1109/TII.2018.2873186
Thomas, K. R., Osuna, J. R., Weigand, A. J., Edmonds, E. C., Clark, A. L., Holmqvist, S., Cota, I. H., Wierenga, C. E., Bondi, M. W., Bangen, K. J., & for the Alzheimer’s Disease Neuroimaging Initiative. (2021). Regional hyperperfusion in older adults with objectively-defined subtle cognitive decline. Journal of Cerebral Blood Flow & Metabolism, 41(5), 1001–1012. https://doi.org/10.1177/0271678X20935171
Verdoliva, L. (2020). Media Forensics and DeepFakes: An Overview. IEEE Journal of Selected Topics in Signal Processing, 14(5), 910–932. https://doi.org/10.1109/JSTSP.2020.3002101
Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., Abdollahi, M., Abdollahpour, I., Abolhassani, H., Aboyans, V., Abrams, E. M., Abreu, L. G., Abrigo, M. R. M., Abu-Raddad, L. J., Abushouk, A. I., … Murray, C. J. L. (2020). Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 396(10258), 1204–1222. https://doi.org/10.1016/S0140-6736(20)30925-9
Wang, Y., Zhang, D., Du, G., Du, R., Zhao, J., Jin, Y., Fu, S., Gao, L., Cheng, Z., Lu, Q., Hu, Y., Luo, G., Wang, K., Lu, Y., Li, H., Wang, S., Ruan, S., Yang, C., Mei, C., … Wang, C. (2020). Remdesivir in adults with severe COVID-19: A randomised, double-blind, placebo-controlled, multicentre trial. The Lancet, 395(10236), 1569–1578. https://doi.org/10.1016/S0140-6736(20)31022-9
Wibawa, D. M. S., Dewi, L. J. E., & Nugraha, I. N. P. (2021). Pengembangan Media Pembelajaran Audio Visual Berbasis Powtoon Mata Pelajaran Sistem Refrigerasi Bagi Siswa SMK. Jurnal Pendidikan Teknik Mesin Undiksha, 9(2), 89–99. https://doi.org/10.23887/jptm.v9i2.27598
Wu, Z., Xiong, Y., Yu, S. X., & Lin, D. (2018). Unsupervised Feature Learning via Non-parametric Instance Discrimination. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3733–3742. https://doi.org/10.1109/CVPR.2018.00393
Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., Bogowicz, M., Boldrini, L., Buvat, I., Cook, G. J. R., Davatzikos, C., Depeursinge, A., Desseroit, M.-C., Dinapoli, N., Dinh, C. V., … Löck, S. (2020). The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology, 295(2), 328–338. https://doi.org/10.1148/radiol.2020191145
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