Effectiveness of Educational Games in Improving Students' Cognitive and Social Skills
Downloads
Cognitive ability is an inner skill that uses the brain that is needed to perform tasks or anything that is simple to the most complex tasks. Games in education for students will help them develop the ability of cognitive structures in themselves, with the development of cognitive skills, students will also foster social attitudes in themselves and will help them socialize in society. The purpose of this study is to examine the effectiveness of educational games in improving students' cognitive and social skills. This research was conducted to understand that educational games can improve students' cognitive skills and can also develop students' social attitudes, while this research will also illustrate whether these educational games can be applied to all levels of education in schools. The method used in this study is a quantitative method in which in this case, the data collection used is by means of a questionnaire, with the correlation method to be applied through SPSS statistical software. Respondents involved in this study are students who are currently studying elementary school education and the results of the preparation of students who are used as assessment materials. The results obtained from this study explain that the effectiveness of educational games in improving students' cognitive and social skills has a good impact on students who are taking elementary school education, educators can also find out the effectiveness of educational games in improving students' cognitive and social skills. The conclusion obtained from this research outlines the effectiveness of educational games in improving the cognitive and social skills of students who are still studying in elementary school. With educational games can also find out the cognitive skills possessed by students and can also find out their attitudes in their social environment. Educational games can also develop students' cognitive and social attitudes.
Aghajani, G., & Ghadimi, N. (2018). Multi-objective energy management in a micro-grid. Energy Reports, 4, 218–225. https://doi.org/10.1016/j.egyr.2017.10.002
Ahlqvist, E., Storm, P., Käräjämäki, A., Martinell, M., Dorkhan, M., Carlsson, A., Vikman, P., Prasad, R. B., Aly, D. M., Almgren, P., Wessman, Y., Shaat, N., Spégel, P., Mulder, H., Lindholm, E., Melander, O., Hansson, O., Malmqvist, U., Lernmark, Å., … Groop, L. (2018). Novel subgroups of adult-onset diabetes and their association with outcomes: A data-driven cluster analysis of six variables. The Lancet Diabetes & Endocrinology, 6(5), 361–369. https://doi.org/10.1016/S2213-8587(18)30051-2
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
Artz, J., Müller, T. E., Thenert, K., Kleinekorte, J., Meys, R., Sternberg, A., Bardow, A., & Leitner, W. (2018). Sustainable Conversion of Carbon Dioxide: An Integrated Review of Catalysis and Life Cycle Assessment. Chemical Reviews, 118(2), 434–504. https://doi.org/10.1021/acs.chemrev.7b00435
Asadi, M., Asadi, A., & Aberoumand, S. (2018). An experimental and theoretical investigation on the effects of adding hybrid nanoparticles on heat transfer efficiency and pumping power of an oil-based nanofluid as a coolant fluid. International Journal of Refrigeration, 89, 83–92. https://doi.org/10.1016/j.ijrefrig.2018.03.014
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., Van Dijk, A. I. J. M., McVicar, T. R., & Adler, R. F. (2019). MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment. Bulletin of the American Meteorological Society, 100(3), 473–500. https://doi.org/10.1175/BAMS-D-17-0138.1
Bediou, B., Adams, D. M., Mayer, R. E., Tipton, E., Green, C. S., & Bavelier, D. (2018). Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills. Psychological Bulletin, 144(1), 77–110. https://doi.org/10.1037/bul0000130
Bikbov, B., Purcell, C. A., Levey, A. S., Smith, M., Abdoli, A., Abebe, M., Adebayo, O. M., Afarideh, M., Agarwal, S. K., Agudelo-Botero, M., Ahmadian, E., Al-Aly, Z., Alipour, V., Almasi-Hashiani, A., Al-Raddadi, R. M., Alvis-Guzman, N., Amini, S., Andrei, T., Andrei, C. L., … Vos, T. (2020). Global, regional, and national burden of chronic kidney disease, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 395(10225), 709–733. https://doi.org/10.1016/S0140-6736(20)30045-3
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
Chou, C.-H., Shrestha, S., Yang, C.-D., Chang, N.-W., Lin, Y.-L., Liao, K.-W., Huang, W.-C., Sun, T.-H., Tu, S.-J., Lee, W.-H., Chiew, M.-Y., Tai, C.-S., Wei, T.-Y., Tsai, T.-R., Huang, H.-T., Wang, C.-Y., Wu, H.-Y., Ho, S.-Y., Chen, P.-R., … Huang, H.-D. (2018). miRTarBase update 2018: A resource for experimentally validated microRNA-target interactions. Nucleic Acids Research, 46(D1), D296–D302. https://doi.org/10.1093/nar/gkx1067
Claro, M., Salinas, A., Cabello-Hutt, T., San Martín, E., Preiss, D. D., Valenzuela, S., & Jara, I. (2018). Teaching in a Digital Environment (TIDE): Defining and measuring teachers’ capacity to develop students’ digital information and communication skills. Computers & Education, 121, 162–174. https://doi.org/10.1016/j.compedu.2018.03.001
Cobos, M. E., Peterson, A. T., Barve, N., & Osorio-Olvera, L. (2019). kuenm: An R package for detailed development of ecological niche models using Maxent. PeerJ, 7, e6281. https://doi.org/10.7717/peerj.6281
Deutsch, C. A., Tewksbury, J. J., Tigchelaar, M., Battisti, D. S., Merrill, S. C., Huey, R. B., & Naylor, R. L. (2018). Increase in crop losses to insect pests in a warming climate. Science, 361(6405), 916–919. https://doi.org/10.1126/science.aat3466
Dias, P., Silva, R., Amorim, P., Lains, J., Roque, E., Pereira, I. S. F., Pereira, F., & Santos, B. S. (2019). Using Virtual Reality to Increase Motivation in Poststroke Rehabilitation. IEEE Computer Graphics and Applications, 39(1), 64–70. https://doi.org/10.1109/MCG.2018.2875630
Gunderson, E. A., Park, D., Maloney, E. A., Beilock, S. L., & Levine, S. C. (2018). Reciprocal relations among motivational frameworks, math anxiety, and math achievement in early elementary school. Journal of Cognition and Development, 19(1), 21–46. https://doi.org/10.1080/15248372.2017.1421538
Hinings, B., Gegenhuber, T., & Greenwood, R. (2018). Digital innovation and transformation: An institutional perspective. Information and Organization, 28(1), 52–61. https://doi.org/10.1016/j.infoandorg.2018.02.004
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., Müller, M. A., Drosten, C., & Pöhlmann, S. (2020). SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor. Cell, 181(2), 271-280.e8. https://doi.org/10.1016/j.cell.2020.02.052
Kanehisa, M., Sato, Y., Furumichi, M., Morishima, K., & Tanabe, M. (2019). New approach for understanding genome variations in KEGG. Nucleic Acids Research, 47(D1), D590–D595. https://doi.org/10.1093/nar/gky962
Khan, M. A., & Salah, K. (2018). IoT security: Review, blockchain solutions, and open challenges. Future Generation Computer Systems, 82, 395–411. https://doi.org/10.1016/j.future.2017.11.022
Korber, B., Fischer, W. M., Gnanakaran, S., Yoon, H., Theiler, J., Abfalterer, W., Hengartner, N., Giorgi, E. E., Bhattacharya, T., Foley, B., Hastie, K. M., Parker, M. D., Partridge, D. G., Evans, C. M., Freeman, T. M., De Silva, T. I., McDanal, C., Perez, L. G., Tang, H., … Wyles, M. D. (2020). Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus. Cell, 182(4), 812-827.e19. https://doi.org/10.1016/j.cell.2020.06.043
Kuderer, N. M., Choueiri, T. K., Shah, D. P., Shyr, Y., Rubinstein, S. M., Rivera, D. R., Shete, S., Hsu, C.-Y., Desai, A., De Lima Lopes, G., Grivas, P., Painter, C. A., Peters, S., Thompson, M. A., Bakouny, Z., Batist, G., Bekaii-Saab, T., Bilen, M. A., Bouganim, N., … West, J. (2020). Clinical impact of COVID-19 on patients with cancer (CCC19): A cohort study. The Lancet, 395(10241), 1907–1918. https://doi.org/10.1016/S0140-6736(20)31187-9
Lamb, R. L., Annetta, L., Firestone, J., & Etopio, E. (2018). A meta-analysis with examination of moderators of student cognition, affect, and learning outcomes while using serious educational games, serious games, and simulations. Computers in Human Behavior, 80, 158–167. https://doi.org/10.1016/j.chb.2017.10.040
Luo, E., Zhang, H., Wang, X., Gao, L., Gong, L., Zhao, T., Jin, Z., Ge, J., Jiang, Z., Liu, C., & Xing, W. (2019). Single?Atom Cr?N 4 Sites Designed for Durable Oxygen Reduction Catalysis in Acid Media. Angewandte Chemie International Edition, 58(36), 12469–12475. https://doi.org/10.1002/anie.201906289
Midega, C. A. O., Pittchar, J. O., Pickett, J. A., Hailu, G. W., & Khan, Z. R. (2018). A climate-adapted push-pull system effectively controls fall armyworm, Spodoptera frugiperda (J E Smith), in maize in East Africa. Crop Protection, 105, 10–15. https://doi.org/10.1016/j.cropro.2017.11.003
Pang, Z., Chong, J., Zhou, G., de Lima Morais, D. A., Chang, L., Barrette, M., Gauthier, C., Jacques, P.-É., Li, S., & Xia, J. (2021). MetaboAnalyst 5.0: Narrowing the gap between raw spectra and functional insights. Nucleic Acids Research, 49(W1), W388–W396. https://doi.org/10.1093/nar/gkab382
Paradis, E., & Schliep, K. (2019). ape 5.0: An environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics, 35(3), 526–528. https://doi.org/10.1093/bioinformatics/bty633
Parsazadeh, N., Ali, R., & Rezaei, M. (2018). A framework for cooperative and interactive mobile learning to improve online information evaluation skills. Computers & Education, 120, 75–89. https://doi.org/10.1016/j.compedu.2018.01.010
Pettersen, E. F., Goddard, T. D., Huang, C. C., Meng, E. C., Couch, G. S., Croll, T. I., Morris, J. H., & Ferrin, T. E. (2021). UCSF CHIMERAX: Structure visualization for researchers, educators, and developers. Protein Science, 30(1), 70–82. https://doi.org/10.1002/pro.3943
Poitout, A., Crabos, A., Pet?ík, I., Novák, O., Krouk, G., Lacombe, B., & Ruffel, S. (2018). Responses to Systemic Nitrogen Signaling in Arabidopsis Roots Involve trans -Zeatin in Shoots. The Plant Cell, 30(6), 1243–1257. https://doi.org/10.1105/tpc.18.00011
Romer, D., & Jamieson, K. H. (2020). Conspiracy theories as barriers to controlling the spread of COVID-19 in the U.S. Social Science & Medicine, 263, 113356. https://doi.org/10.1016/j.socscimed.2020.113356
Roth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., Abdollahpour, I., Abdulkader, R. S., Abebe, H. T., Abebe, M., Abebe, Z., Abejie, A. N., Abera, S. F., Abil, O. Z., Abraha, H. N., … Murray, C. J. L. (2018). Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 392(10159), 1736–1788. https://doi.org/10.1016/S0140-6736(18)32203-7
Tschandl, P., Codella, N., Akay, B. N., Argenziano, G., Braun, R. P., Cabo, H., Gutman, D., Halpern, A., Helba, B., Hofmann-Wellenhof, R., Lallas, A., Lapins, J., Longo, C., Malvehy, J., Marchetti, M. A., Marghoob, A., Menzies, S., Oakley, A., Paoli, J., … Kittler, H. (2019). Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: An open, web-based, international, diagnostic study. The Lancet Oncology, 20(7), 938–947. https://doi.org/10.1016/S1470-2045(19)30333-X
Verity, R., Okell, L. C., Dorigatti, I., Winskill, P., Whittaker, C., Imai, N., Cuomo-Dannenburg, G., Thompson, H., Walker, P. G. T., Fu, H., Dighe, A., Griffin, J. T., Baguelin, M., Bhatia, S., Boonyasiri, A., Cori, A., Cucunubá, Z., FitzJohn, R., Gaythorpe, K., … Ferguson, N. M. (2020). Estimates of the severity of coronavirus disease 2019: A model-based analysis. The Lancet Infectious Diseases, 20(6), 669–677. https://doi.org/10.1016/S1473-3099(20)30243-7
Wu, Q., Zeng, Y., & Zhang, R. (2018). Joint Trajectory and Communication Design for Multi-UAV Enabled Wireless Networks. IEEE Transactions on Wireless Communications, 17(3), 2109–2121. https://doi.org/10.1109/TWC.2017.2789293
Wu, Q., Zhang, S., Song, H.-F., Troyer, M., & Soluyanov, A. A. (2018). WannierTools: An open-source software package for novel topological materials. Computer Physics Communications, 224, 405–416. https://doi.org/10.1016/j.cpc.2017.09.033
Yang, J.-H., Kang, L.-F., Liu, L., Peng, J.-T., & Qi, Y.-Q. (2019). Tracing the origin of ore-forming fluids in the Piaotang tungsten deposit, South China: Constraints from in-situ analyses of wolframite and individual fluid inclusion. Ore Geology Reviews, 111, 102939. https://doi.org/10.1016/j.oregeorev.2019.102939
Zhang, Y., & Mi, Z. (2018). Environmental benefits of bike sharing: A big data-based analysis. Applied Energy, 220, 296–301. https://doi.org/10.1016/j.apenergy.2018.03.101
Copyright (c) 2023 Al-Hijr: Journal of Adulearn World
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
