The Efficiency of Learning Media in Building Student Character
Downloads
At present the role of the teacher is very important for the creation of character in students. There are several elements that can support the formation of character learning for students. One of them is the accuracy in choosing learning media by the teacher in the learning process. This study aims to build student character by using appropriate and effective learning media. The method used in this study is a quantitative method using a survey model with Google Forms and in-depth interviews with one of the students. The results of this study can explain that implementing the efficiency of learning media in building character in students will present an effective and optimal learning process. The conclusion of this study is that the selection of appropriate instructional media will influence and have an effect on the learning process, which in building the character of current students really needs efficient media so that students can easily understand and apply it in the school, family and community environment. The limitations of this study are that researchers can only conduct research at the intermediate level, due to short time constraints, the researcher hopes that future researchers can conduct research at a higher level and in more depth.
Audhkhasi, K., Kingsbury, B., Ramabhadran, B., Saon, G., & Picheny, M. (2018). Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4759–4763. https://doi.org/10.1109/ICASSP.2018.8461935
Azlan, A. A., Hamzah, M. R., Sern, T. J., Ayub, S. H., & Mohamad, E. (2020). Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia. PLOS ONE, 15(5), e0233668. https://doi.org/10.1371/journal.pone.0233668
Baltrusaitis, T., Ahuja, C., & Morency, L.-P. (2019). Multimodal Machine Learning: A Survey and Taxonomy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(2), 423–443. https://doi.org/10.1109/TPAMI.2018.2798607
Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., Lotfi, T., Loeb, M., Hajizadeh, A., Bak, A., Izcovich, A., Cuello-Garcia, C. A., Chen, C., Harris, D. J., Borowiack, E., … Schünemann, H. J. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. The Lancet, 395(10242), 1973–1987. https://doi.org/10.1016/S0140-6736(20)31142-9
Chua, W. L., Teh, C. S., Basri, M. A. B. A., Ong, S. T., Phang, N. Q. Q., & Goh, E. L. (2022). Nurses’ knowledge and confidence in recognizing and managing patients with sepsis: A multi?site cross?sectional study. Journal of Advanced Nursing, jan.15435. https://doi.org/10.1111/jan.15435
Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140. https://doi.org/10.1080/10888691.2018.1537791
Dendir, S., & Maxwell, R. S. (2020). Cheating in online courses: Evidence from online proctoring. Computers in Human Behavior Reports, 2, 100033. https://doi.org/10.1016/j.chbr.2020.100033
Ding, H., & Chang, R. (2018). Printability Study of Bioprinted Tubular Structures Using Liquid Hydrogel Precursors in a Support Bath. Applied Sciences, 8(3), 403. https://doi.org/10.3390/app8030403
Figueiredo, J., & García-Peñalvo, F. J. (2018). Building Skills in Introductory Programming. Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality, 46–50. https://doi.org/10.1145/3284179.3284190
Gerber, J. P., Wheeler, L., & Suls, J. (2018). A social comparison theory meta-analysis 60+ years on. Psychological Bulletin, 144(2), 177–197. https://doi.org/10.1037/bul0000127
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
Hansman, R. J., Albert, R., Gerdes, A., & Ring, U. (2018). Absolute ages of multiple generations of brittle structures by U-Pb dating of calcite. Geology, 46(3), 207–210. https://doi.org/10.1130/G39822.1
Harper, R., Bretag, T., Ellis, C., Newton, P., Rozenberg, P., Saddiqui, S., & van Haeringen, K. (2019). Contract cheating: A survey of Australian university staff. Studies in Higher Education, 44(11), 1857–1873. https://doi.org/10.1080/03075079.2018.1462789
Himmerich, H., Patsalos, O., Lichtblau, N., Ibrahim, M. A. A., & Dalton, B. (2019). Cytokine Research in Depression: Principles, Challenges, and Open Questions. Frontiers in Psychiatry, 10, 30. https://doi.org/10.3389/fpsyt.2019.00030
Jogezai, N. A., Baloch, F. A., Jaffar, M., Shah, T., Khilji, G. K., & Bashir, S. (2021). Teachers’ attitudes towards social media (SM) use in online learning amid the COVID-19 pandemic: The effects of SM use by teachers and religious scholars during physical distancing. Heliyon, 7(4), e06781. https://doi.org/10.1016/j.heliyon.2021.e06781
Kalegina, A., Schroeder, G., Allchin, A., Berlin, K., & Cakmak, M. (2018). Characterizing the Design Space of Rendered Robot Faces. Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 96–104. https://doi.org/10.1145/3171221.3171286
Kang, J., Hong, D., Liu, J., Baier, G., Yokoya, N., & Demir, B. (2021). Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration. IEEE Transactions on Neural Networks and Learning Systems, 32(2), 826–840. https://doi.org/10.1109/TNNLS.2020.2979546
Kraft, M. A., Blazar, D., & Hogan, D. (2018). The Effect of Teacher Coaching on Instruction and Achievement: A Meta-Analysis of the Causal Evidence. Review of Educational Research, 88(4), 547–588. https://doi.org/10.3102/0034654318759268
Li, B. T., Janku, F., Jung, B., Hou, C., Madwani, K., Alden, R., Razavi, P., Reis-Filho, J. S., Shen, R., Isbell, J. M., Blocker, A. W., Eattock, N., Gnerre, S., Satya, R. V., Xu, H., Zhao, C., Hall, M. P., Hu, Y., Sehnert, A. J., … Oxnard, G. R. (2019). Ultra-deep next-generation sequencing of plasma cell-free DNA in patients with advanced lung cancers: Results from the Actionable Genome Consortium. Annals of Oncology, 30(4), 597–603. https://doi.org/10.1093/annonc/mdz046
Li, Z., Teng, N., Jin, M., & Lu, H. (2018). Building efficient CNN architecture for offline handwritten Chinese character recognition. International Journal on Document Analysis and Recognition (IJDAR), 21(4), 233–240. https://doi.org/10.1007/s10032-018-0311-4
MacIntyre, P. D., Gregersen, T., & Mercer, S. (2020). Language teachers’ coping strategies during the Covid-19 conversion to online teaching: Correlations with stress, wellbeing and negative emotions. System, 94, 102352. https://doi.org/10.1016/j.system.2020.102352
Mangaroska, K., & Giannakos, M. (2019). Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning. IEEE Transactions on Learning Technologies, 12(4), 516–534. https://doi.org/10.1109/TLT.2018.2868673
McGrew, S. (2020). Learning to evaluate: An intervention in civic online reasoning. Computers & Education, 145, 103711. https://doi.org/10.1016/j.compedu.2019.103711
Medway, D., Roper, S., & Gillooly, L. (2018). Contract cheating in UK higher education: A covert investigation of essay mills. British Educational Research Journal, 44(3), 393–418. https://doi.org/10.1002/berj.3335
Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012. https://doi.org/10.1016/j.ijedro.2020.100012
Mitra, A., Dey, S., Zong, K., Liu, Y., & Mitra, A. (2019). Building the core of a Paleoarchean continent: Evidence from granitoids of Singhbhum Craton, eastern India. Precambrian Research, 335, 105436. https://doi.org/10.1016/j.precamres.2019.105436
Montalban, X., Gold, R., Thompson, A. J., Otero-Romero, S., Amato, M. P., Chandraratna, D., Clanet, M., Comi, G., Derfuss, T., Fazekas, F., Hartung, H. P., Havrdova, E., Hemmer, B., Kappos, L., Liblau, R., Lubetzki, C., Marcus, E., Miller, D. H., Olsson, T., … Zipp, F. (2018). ECTRIMS/EAN Guideline on the pharmacological treatment of people with multiple sclerosis. Multiple Sclerosis Journal, 24(2), 96–120. https://doi.org/10.1177/1352458517751049
Moreira-Fontán, E., García-Señorán, M., Conde-Rodríguez, Á., & González, A. (2019). Teachers’ ICT-related self-efficacy, job resources, and positive emotions: Their structural relations with autonomous motivation and work engagement. Computers & Education, 134, 63–77. https://doi.org/10.1016/j.compedu.2019.02.007
Naghavi, M. (2019). Global, regional, and national burden of suicide mortality 1990 to 2016: Systematic analysis for the Global Burden of Disease Study 2016. BMJ, l94. https://doi.org/10.1136/bmj.l94
Orgill, M., York, S., & MacKellar, J. (2019). Introduction to Systems Thinking for the Chemistry Education Community. Journal of Chemical Education, 96(12), 2720–2729. https://doi.org/10.1021/acs.jchemed.9b00169
Ormanci, N., Tasneem, S., & Caliskan, T. B. (2022). Nutrition related knowledge and attitudes of mothers and teachers of kindergarten children. International Journal of Public Health Science (IJPHS), 11(2), 537. https://doi.org/10.11591/ijphs.v11i2.21191
O’Toole, K. J., & Kannass, K. N. (2018). Emergent literacy in print and electronic contexts: The influence of book type, narration source, and attention. Journal of Experimental Child Psychology, 173, 100–115. https://doi.org/10.1016/j.jecp.2018.03.013
Pahayahay, A., & Khalili-Mahani, N. (2020). What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Coping with COVID-19 Using the Media Repertoire Framework and the Appraisal Theory of Stress. Journal of Medical Internet Research, 22(8), e20186. https://doi.org/10.2196/20186
Pasichnyi, O., Wallin, J., & Kordas, O. (2019). Data-driven building archetypes for urban building energy modelling. Energy, 181, 360–377. https://doi.org/10.1016/j.energy.2019.04.197
Pressley, T. (2021). Factors Contributing to Teacher Burnout During COVID-19. Educational Researcher, 50(5), 325–327. https://doi.org/10.3102/0013189X211004138
Puri, N., Coomes, E. A., Haghbayan, H., & Gunaratne, K. (2020). Social media and vaccine hesitancy: New updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines & Immunotherapeutics, 16(11), 2586–2593. https://doi.org/10.1080/21645515.2020.1780846
Rose, S. (2020). Medical Student Education in the Time of COVID-19. JAMA, 323(21), 2131. https://doi.org/10.1001/jama.2020.5227
Roy, R., Tiwari, M., Donelli, G., & Tiwari, V. (2018). Strategies for combating bacterial biofilms: A focus on anti-biofilm agents and their mechanisms of action. Virulence, 9(1), 522–554. https://doi.org/10.1080/21505594.2017.1313372
Shanahan, E. A., Reinhold, A. M., Raile, E. D., Poole, G. C., Ready, R. C., Izurieta, C., McEvoy, J., Bergmann, N. T., & King, H. (2019). Characters matter: How narratives shape affective responses to risk communication. PLOS ONE, 14(12), e0225968. https://doi.org/10.1371/journal.pone.0225968
Son, C., Hegde, S., Smith, A., Wang, X., & Sasangohar, F. (2020). Effects of COVID-19 on College Students’ Mental Health in the United States: Interview Survey Study. Journal of Medical Internet Research, 22(9), e21279. https://doi.org/10.2196/21279
Stieglitz, S., Mirbabaie, M., Ross, B., & Neuberger, C. (2018). Social media analytics – Challenges in topic discovery, data collection, and data preparation. International Journal of Information Management, 39, 156–168. https://doi.org/10.1016/j.ijinfomgt.2017.12.002
Sung, H., Siegel, R. L., Rosenberg, P. S., & Jemal, A. (2019). Emerging cancer trends among young adults in the USA: Analysis of a population-based cancer registry. The Lancet Public Health, 4(3), e137–e147. https://doi.org/10.1016/S2468-2667(18)30267-6
Tchamyou, V. S. (2020). Education, lifelong learning, inequality and financial access: Evidence from African countries. Contemporary Social Science, 15(1), 7–25. https://doi.org/10.1080/21582041.2018.1433314
To Evaluate the Knowledge and Attitude Regarding Management of Acute Poisoning amongst the Emergency Medical Professionals in Pune, India. (2020). Indian Journal of Forensic Medicine & Toxicology. https://doi.org/10.37506/ijfmt.v14i4.12204
Uerz, D., Volman, M., & Kral, M. (2018). Teacher educators’ competences in fostering student teachers’ proficiency in teaching and learning with technology: An overview of relevant research literature. Teaching and Teacher Education, 70, 12–23. https://doi.org/10.1016/j.tate.2017.11.005
van der Linden, M., Oonk, M. H. M., van Doorn, H. C., Bulten, J., van Dorst, E. B. L., Fons, G., Lok, C. A. R., van Poelgeest, M. I. E., Slangen, B. M. F., Massuger, L. F. A. G., & de Hullu, J. A. (2019). Vulvar Paget disease: A national retrospective cohort study. Journal of the American Academy of Dermatology, 81(4), 956–962. https://doi.org/10.1016/j.jaad.2018.11.016
Wagner, L. (2019). Good Character Is What We Look for in a Friend: Character Strengths Are Positively Related to Peer Acceptance and Friendship Quality in Early Adolescents. The Journal of Early Adolescence, 39(6), 864–903. https://doi.org/10.1177/0272431618791286
Wallin, M. T., Culpepper, W. J., Nichols, E., Bhutta, Z. A., Gebrehiwot, T. T., Hay, S. I., Khalil, I. A., Krohn, K. J., Liang, X., Naghavi, M., Mokdad, A. H., Nixon, M. R., Reiner, R. C., Sartorius, B., Smith, M., Topor-Madry, R., Werdecker, A., Vos, T., Feigin, V. L., & Murray, C. J. L. (2019). Global, regional, and national burden of multiple sclerosis 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. The Lancet Neurology, 18(3), 269–285. https://doi.org/10.1016/S1474-4422(18)30443-5
Yang, L., Wen, K.-S., Ruan, X., Zhao, Y.-X., Wei, F., & Wang, Q. (2018). Response of Plant Secondary Metabolites to Environmental Factors. Molecules, 23(4), 762. https://doi.org/10.3390/molecules23040762
Yassour, M., Jason, E., Hogstrom, L. J., Arthur, T. D., Tripathi, S., Siljander, H., Selvenius, J., Oikarinen, S., Hyöty, H., Virtanen, S. M., Ilonen, J., Ferretti, P., Pasolli, E., Tett, A., Asnicar, F., Segata, N., Vlamakis, H., Lander, E. S., Huttenhower, C., … Xavier, R. J. (2018). Strain-Level Analysis of Mother-to-Child Bacterial Transmission during the First Few Months of Life. Cell Host & Microbe, 24(1), 146-154.e4. https://doi.org/10.1016/j.chom.2018.06.007
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019). All one needs to know about fog computing and related edge computing paradigms: A complete survey. Journal of Systems Architecture, 98, 289–330. https://doi.org/10.1016/j.sysarc.2019.02.009
Zhang, Y., & Chen, M. (2018). Character Strengths, Strengths Use, Future Self-Continuity and Subjective Well-Being Among Chinese University Students. Frontiers in Psychology, 9, 1040. https://doi.org/10.3389/fpsyg.2018.01040
?uk, P. (2018). Nation, national remembrance, and education—Polish schools as factories of nationalism and prejudice. Nationalities Papers, 46(6), 1046–1062. https://doi.org/10.1080/00905992.2017.1381079
Copyright (c) 2023 Caers Yves, Ritacco Murat, Köse Justine
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
