Utilisation of Android Learning Video Application in Improving Student Achievement
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Android is a device that cannot be separated from education and learning in the current 5.0 era, for this reason educational institutions must have high enthusiasm in increasing the learning of android video applications to improve student achievement. The purpose of this study is that educators and students can utilize android learning video applications in improving student achievement in learning. This research was conducted with a quantitative method survey model, namely researchers distributed questionnaires using google form to educators and students. The results of this study explain that the android learning video application can be an alternative by educators in an effort to improve student achievement. To see an increase in student achievement through android learning videos, there needs to be training and development for educators and students, because android competition will be tighter in the future. Researchers have research limitations in conducting this android utilization survey because it does not cover all educational institutions, for that researchers hope that future researchers will conduct surveys with the addition of educational institutions and better ways.
Abd Majid, F., & Mohd Shamsudin, N. (2019). Identifying Factors Affecting Acceptance of Virtual Reality in Classrooms Based on Technology Acceptance Model (TAM). Asian Journal of University Education, 15(2), 51. https://doi.org/10.24191/ajue.v15i2.7556
Acheampong, A. O., Adams, S., & Boateng, E. (2019). Do globalization and renewable energy contribute to carbon emissions mitigation in Sub-Saharan Africa? Science of The Total Environment, 677, 436–446. https://doi.org/10.1016/j.scitotenv.2019.04.353
Akçay?r, M., Akçay?r, G., Pekta?, H. M., & Ocak, M. A. (2016). Augmented reality in science laboratories: The effects of augmented reality on university students’ laboratory skills and attitudes toward science laboratories. Computers in Human Behavior, 57, 334–342. https://doi.org/10.1016/j.chb.2015.12.054
Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., & Peacock, A. (2019). Blockchain technology in the energy sector: A systematic review of challenges and opportunities. Renewable and Sustainable Energy Reviews, 100, 143–174. https://doi.org/10.1016/j.rser.2018.10.014
Aziz, I., Palsson, O. S., Törnblom, H., Sperber, A. D., Whitehead, W. E., & Simrén, M. (2018). The Prevalence and Impact of Overlapping Rome IV-Diagnosed Functional Gastrointestinal Disorders on Somatization, Quality of Life, and Healthcare Utilization: A Cross-Sectional General Population Study in Three Countries. American Journal of Gastroenterology, 113(1), 86–96. https://doi.org/10.1038/ajg.2017.421
Bai, S., Hew, K. F., & Huang, B. (2020). Does gamification improve student learning outcome? Evidence from a meta-analysis and synthesis of qualitative data in educational contexts. Educational Research Review, 30, 100322. https://doi.org/10.1016/j.edurev.2020.100322
Baloch, M. A., Ozturk, I., Bekun, F. V., & Khan, D. (2021). Modeling the dynamic linkage between financial development, energy innovation, and environmental quality: Does globalization matter? Business Strategy and the Environment, 30(1), 176–184. https://doi.org/10.1002/bse.2615
Bhatia, A. (2018). Interdiscursive performance in digital professions: The case of YouTube tutorials. Journal of Pragmatics, 124, 106–120. https://doi.org/10.1016/j.pragma.2017.11.001
Chen, E., Lerman, K., & Ferrara, E. (2020). Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set. JMIR Public Health and Surveillance, 6(2), e19273. https://doi.org/10.2196/19273
Chen, J., Oh, P. J., Cheng, N., Shah, A., Montez, J., Jarc, A., Guo, L., Gill, I. S., & Hung, A. J. (2018). Use of Automated Performance Metrics to Measure Surgeon Performance during Robotic Vesicourethral Anastomosis and Methodical Development of a Training Tutorial. Journal of Urology, 200(4), 895–902. https://doi.org/10.1016/j.juro.2018.05.080
Cheng, A., Nadkarni, V. M., Mancini, M. B., Hunt, E. A., Sinz, E. H., Merchant, R. M., Donoghue, A., Duff, J. P., Eppich, W., Auerbach, M., Bigham, B. L., Blewer, A. L., Chan, P. S., Bhanji, F., & On behalf of the American Heart Association Education Science Investigators; and on behalf of the American Heart Association Education Science and Programs Committee, Council on Cardiopulmonary, Critical Care, Perioperative and Resuscitation; Council on Cardiovascular and Stroke Nursing; and Council on Quality of Care and Outcomes Research. (2018). Resuscitation Education Science: Educational Strategies to Improve Outcomes From Cardiac Arrest: A Scientific Statement From the American Heart Association. Circulation, 138(6). https://doi.org/10.1161/CIR.0000000000000583
Coley, C. W., Green, W. H., & Jensen, K. F. (2018). Machine Learning in Computer-Aided Synthesis Planning. Accounts of Chemical Research, 51(5), 1281–1289. https://doi.org/10.1021/acs.accounts.8b00087
Davies, M., Srinivasa, N., Lin, T.-H., Chinya, G., Cao, Y., Choday, S. H., Dimou, G., Joshi, P., Imam, N., Jain, S., Liao, Y., Lin, C.-K., Lines, A., Liu, R., Mathaikutty, D., McCoy, S., Paul, A., Tse, J., Venkataramanan, G., … Wang, H. (2018). Loihi: A Neuromorphic Manycore Processor with On-Chip Learning. IEEE Micro, 38(1), 82–99. https://doi.org/10.1109/MM.2018.112130359
Duan, X., Sun, H., & Wang, S. (2018). Metal-Free Carbocatalysis in Advanced Oxidation Reactions. Accounts of Chemical Research, 51(3), 678–687. https://doi.org/10.1021/acs.accounts.7b00535
Frid-Adar, M., Diamant, I., Klang, E., Amitai, M., Goldberger, J., & Greenspan, H. (2018). GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing, 321, 321–331. https://doi.org/10.1016/j.neucom.2018.09.013
Fry, D., Fang, X., Elliott, S., Casey, T., Zheng, X., Li, J., Florian, L., & McCluskey, G. (2018). The relationships between violence in childhood and educational outcomes: A global systematic review and meta-analysis. Child Abuse & Neglect, 75, 6–28. https://doi.org/10.1016/j.chiabu.2017.06.021
Fu, Q.-K., & Hwang, G.-J. (2018). Trends in mobile technology-supported collaborative learning: A systematic review of journal publications from 2007 to 2016. Computers & Education, 119, 129–143. https://doi.org/10.1016/j.compedu.2018.01.004
Haseeb, A., Xia, E., Saud, S., Ahmad, A., & Khurshid, H. (2019). Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis. Environmental Science and Pollution Research, 26(9), 8594–8608. https://doi.org/10.1007/s11356-019-04296-x
Jahanger, A., Usman, M., Murshed, M., Mahmood, H., & Balsalobre-Lorente, D. (2022). The linkages between natural resources, human capital, globalization, economic growth, financial development, and ecological footprint: The moderating role of technological innovations. Resources Policy, 76, 102569. https://doi.org/10.1016/j.resourpol.2022.102569
Khan, M. K., Teng, J.-Z., Khan, M. I., & Khan, M. O. (2019). Impact of globalization, economic factors and energy consumption on CO2 emissions in Pakistan. Science of The Total Environment, 688, 424–436. https://doi.org/10.1016/j.scitotenv.2019.06.065
Kim, T., Song, W., Son, D.-Y., Ono, L. K., & Qi, Y. (2019). Lithium-ion batteries: Outlook on present, future, and hybridized technologies. Journal of Materials Chemistry A, 7(7), 2942–2964. https://doi.org/10.1039/C8TA10513H
Kioupi, V., & Voulvoulis, N. (2019). Education for Sustainable Development: A Systemic Framework for Connecting the SDGs to Educational Outcomes. Sustainability, 11(21), 6104. https://doi.org/10.3390/su11216104
Larson, D. B., Chen, M. C., Lungren, M. P., Halabi, S. S., Stence, N. V., & Langlotz, C. P. (2018). Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs. Radiology, 287(1), 313–322. https://doi.org/10.1148/radiol.2017170236
Lee, A. C.-L., Harris, J. L., Khanna, K. K., & Hong, J.-H. (2019). A Comprehensive Review on Current Advances in Peptide Drug Development and Design. International Journal of Molecular Sciences, 20(10), 2383. https://doi.org/10.3390/ijms20102383
Liu, C., Chen, H., Wang, S., Liu, Q., Jiang, Y.-G., Zhang, D. W., Liu, M., & Zhou, P. (2020). Two-dimensional materials for next-generation computing technologies. Nature Nanotechnology, 15(7), 545–557. https://doi.org/10.1038/s41565-020-0724-3
Lövdén, M., Fratiglioni, L., Glymour, M. M., Lindenberger, U., & Tucker-Drob, E. M. (2020). Education and Cognitive Functioning Across the Life Span. Psychological Science in the Public Interest, 21(1), 6–41. https://doi.org/10.1177/1529100620920576
Orben, A., Tomova, L., & Blakemore, S.-J. (2020). The effects of social deprivation on adolescent development and mental health. The Lancet Child & Adolescent Health, 4(8), 634–640. https://doi.org/10.1016/S2352-4642(20)30186-3
Park, Y., Depeursinge, C., & Popescu, G. (2018). Quantitative phase imaging in biomedicine. Nature Photonics, 12(10), 578–589. https://doi.org/10.1038/s41566-018-0253-x
Pinho, A. S., Salazar, A. P., Hennig, E. M., Spessato, B. C., Domingo, A., & Pagnussat, A. S. (2019). Can We Rely on Mobile Devices and Other Gadgets to Assess the Postural Balance of Healthy Individuals? A Systematic Review. Sensors, 19(13), 2972. https://doi.org/10.3390/s19132972
Pivoto, D., Waquil, P. D., Talamini, E., Finocchio, C. P. S., Dalla Corte, V. F., & de Vargas Mores, G. (2018). Scientific development of smart farming technologies and their application in Brazil. Information Processing in Agriculture, 5(1), 21–32. https://doi.org/10.1016/j.inpa.2017.12.002
Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., & Prabhat. (2019). Deep learning and process understanding for data-driven Earth system science. Nature, 566(7743), 195–204. https://doi.org/10.1038/s41586-019-0912-1
Rose, S. (2020). Medical Student Education in the Time of COVID-19. JAMA, 323(21), 2131. https://doi.org/10.1001/jama.2020.5227
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
Senapati, S., Mahanta, A. K., Kumar, S., & Maiti, P. (2018). Controlled drug delivery vehicles for cancer treatment and their performance. Signal Transduction and Targeted Therapy, 3(1), 7. https://doi.org/10.1038/s41392-017-0004-3
Story, A., Aldridge, R. W., Smith, C. M., Garber, E., Hall, J., Ferenando, G., Possas, L., Hemming, S., Wurie, F., Luchenski, S., Abubakar, I., McHugh, T. D., White, P. J., Watson, J. M., Lipman, M., Garfein, R., & Hayward, A. C. (2019). Smartphone-enabled video-observed versus directly observed treatment for tuberculosis: A multicentre, analyst-blinded, randomised, controlled superiority trial. The Lancet, 393(10177), 1216–1224. https://doi.org/10.1016/S0140-6736(18)32993-3
Subhash, S., & Cudney, E. A. (2018). Gamified learning in higher education: A systematic review of the literature. Computers in Human Behavior, 87, 192–206. https://doi.org/10.1016/j.chb.2018.05.028
Sudaryadi, I., Rahmawati, A. N., & Rizqiyah, M. (2020). Effect of handphone EMF radiation on survival rate and morphological reproductive organ changes of fruit fly (Drosophila melanogaster Meigen, 1830). 040030. https://doi.org/10.1063/5.0015846
Sun, K., Xiao, B., Liu, D., & Wang, J. (2019). Deep High-Resolution Representation Learning for Human Pose Estimation. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5686–5696. https://doi.org/10.1109/CVPR.2019.00584
Sundarasen, S., Chinna, K., Kamaludin, K., Nurunnabi, M., Baloch, G. M., Khoshaim, H. B., Hossain, S. F. A., & Sukayt, A. (2020). Psychological Impact of COVID-19 and Lockdown among University Students in Malaysia: Implications and Policy Recommendations. International Journal of Environmental Research and Public Health, 17(17), 6206. https://doi.org/10.3390/ijerph17176206
Theobald, E. J., Hill, M. J., Tran, E., Agrawal, S., Arroyo, E. N., Behling, S., Chambwe, N., Cintrón, D. L., Cooper, J. D., Dunster, G., Grummer, J. A., Hennessey, K., Hsiao, J., Iranon, N., Jones, L., Jordt, H., Keller, M., Lacey, M. E., Littlefield, C. E., … Freeman, S. (2020). Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math. Proceedings of the National Academy of Sciences, 117(12), 6476–6483. https://doi.org/10.1073/pnas.1916903117
Toninelli, E., Ndagano, B., Vallés, A., Sephton, B., Nape, I., Ambrosio, A., Capasso, F., Padgett, M. J., & Forbes, A. (2019). Concepts in quantum state tomography and classical implementation with intense light: A tutorial. Advances in Optics and Photonics, 11(1), 67. https://doi.org/10.1364/AOP.11.000067
Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. https://doi.org/10.1038/s41591-018-0300-7
Venkata Ramana, N., Nagesh, P., Lanka, S., & Karri, R. R. (2019). Big Data Analytics and IoT Gadgets for Tech Savvy Cities. In S. Omar, W. S. Haji Suhaili, & S. Phon-Amnuaisuk (Eds.), Computational Intelligence in Information Systems (Vol. 888, pp. 131–144). Springer International Publishing. https://doi.org/10.1007/978-3-030-03302-6_12
Wali, A. Z., & Omaid, M. E. (2020). The Use of Smartphones as an Educational Tool in the Classroom: Lecturers’ Perceptions. International Journal of Emerging Technologies in Learning (IJET), 15(16), 238. https://doi.org/10.3991/ijet.v15i16.14179
Wang, P., Wu, P., Wang, J., Chi, H.-L., & Wang, X. (2018). A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training. International Journal of Environmental Research and Public Health, 15(6), 1204. https://doi.org/10.3390/ijerph15061204
Wang, S., Zheng, L., Cai, G., Liu, N., Liao, M., Li, Y., Zhang, X., & Lin, J. (2019). A microfluidic biosensor for online and sensitive detection of Salmonella typhimurium using fluorescence labeling and smartphone video processing. Biosensors and Bioelectronics, 140, 111333. https://doi.org/10.1016/j.bios.2019.111333
Wibawa, B., & . P. (2019). The Development Of Blended Learning Based On Handphone For Computer System Subject On Xi Grade Of Smkn 1 Bengkulu City. Humanities & Social Sciences Reviews, 7(3), 497–502. https://doi.org/10.18510/hssr.2019.7373
Yip, J., Wong, S.-H., Yick, K.-L., Chan, K., & Wong, K.-H. (2019). Improving quality of teaching and learning in classes by using augmented reality video. Computers & Education, 128, 88–101. https://doi.org/10.1016/j.compedu.2018.09.014
Yu, F., Yan, L., Wang, N., Yang, S., Wang, L., Tang, Y., Gao, G., Wang, S., Ma, C., Xie, R., Wang, F., Tan, C., Zhu, L., Guo, Y., & Zhang, F. (2020). Quantitative Detection and Viral Load Analysis of SARS-CoV-2 in Infected Patients. Clinical Infectious Diseases, 71(15), 793–798. https://doi.org/10.1093/cid/ciaa345
Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., & Boshkoska, B. M. (2019). Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Computers in Industry, 109, 83–99. https://doi.org/10.1016/j.compind.2019.04.002
Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., & Procter, R. (2019). Detection and Resolution of Rumours in Social Media: A Survey. ACM Computing Surveys, 51(2), 1–36. https://doi.org/10.1145/3161603
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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