Implementation of Flora and Fauna-Based Smart Word Learning Media to Empower Elementary School Students' Motivation and Science Literacy


Implementasi Media Pembelajaran Kata Pintar Berbasis Flora dan Fauna untuk Memberdayakan Motivasi dan Literasi Sains Siswa SD


  • (1) * Asy’ari            Universitas Muhammadiyah Surabaya  
            Indonesia

  • (2)  Lailatul Fitriyah              
            Indonesia

  • (3)  Deni Adi Putra              
            Indonesia

    (*) Corresponding Author

Abstract

This study aims to develop learning media based on Flora and Fauna to increase motivation and scientific literacy at the elementary level, especially at SD Negeri Latsari IV Tuban. This smart word learning media is a two-dimensional teaching aid. This research uses descriptive research with a qualitative approach. This study resulted in a Flora and Fauna-based learning media for Smart Words for elementary school children. The making of learning media is made of easily available materials such as cardboard, paperboard, and HVS paper, letters and also ordinary printed pictures. The results of the research data analysis used questionnaire data analysis, interview data analysis, observation data analysis and documentation data analysis. In the percentage of the results of the application of the Flora and Fauna based Smart Words learning media, 87% of students are happy with the learning process and with this learning media, students become more enthusiastic in learning. The Flora and Fauna-based Smart Word learning media is very suitable to be applied in learning, especially at the elementary level. This learning media is able to increase students' interest in learning and students' motivation in studying Flora and Fauna so that it becomes a fun learning process, as well as increasing the variety of learning media in the classroom.

References

Babvey, P., Capela, F., Cappa, C., Lipizzi, C., Petrowski, N., & Ramirez-Marquez, J. (2020). Using social media data for assessing children’s exposure to violence during the COVID-19 pandemic. Child Abuse and Neglect, August, 104747. https://doi.org/10.1016/j.chiabu.2020.104747

Bacher-Hicks, A., Goodman, J., & Mulhern, C. (2021). Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time. Journal of Public Economics, 193, 104345. https://doi.org/10.1016/j.jpubeco.2020.104345

Carl, N., Cofnas, N., & Michael, A. W. of M. (2016). Scientific literacy, optimism about science and conservatism. Personality and Individual Differences, 94, 299–302. https://doi.org/10.1016/j.paid.2016.01.046

Correia, P. R. M., Xavier do Valle, B., Dazzani, M., & Infante-Malachias, M. E. (2010). The importance of scientific literacy in fostering education for sustainability: Theoretical considerations and preliminary findings from a Brazilian experience. Journal of Cleaner Production, 18(7), 678–685. https://doi.org/10.1016/j.jclepro.2009.09.011

Dayanti, F., Sundaygara, C., & ... (2020). Penerapan Model Pembelajaran Creative Problem Solving Untuk Meningkatkan Literasi Sains Dan Motivasi Siswa. … : Jurnal Terapan Sains & …, 2(4), 333–341. http://ejournal.unikama.ac.id/index.php/jtst/article/view/4924

Devaraj, A., Murthy, D., & Dontula, A. (2020). Machine-learning methods for identifying social media-based requests for urgent help during hurricanes. International Journal of Disaster Risk Reduction, 51, 101757. https://doi.org/10.1016/j.ijdrr.2020.101757

Dogrucu, A., Perucic, A., Isaro, A., Ball, D., Toto, E., Rundensteiner, E. A., Agu, E., Davis-Martin, R., & Boudreaux, E. (2020). Moodable: On feasibility of instantaneous depression assessment using machine learning on voice samples with retrospectively harvested smartphone and social media data. Smart Health, 17(March 2019), 100118. https://doi.org/10.1016/j.smhl.2020.100118

Feng, J., Teng, Q., Li, B., He, X., Chen, H., & Li, Y. (2020). An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning. Computer Methods in Applied Mechanics and Engineering, 368, 113043. https://doi.org/10.1016/j.cma.2020.113043

Gosal, A. S., & Ziv, G. (2020). Landscape aesthetics: Spatial modelling and mapping using social media images and machine learning. Ecological Indicators, 117(May), 106638. https://doi.org/10.1016/j.ecolind.2020.106638

Greene, K., Ray, A. E., Choi, H. J., Glenn, S. D., Lyons, R. E., & Hecht, M. L. (2020). Short term effects of the REAL media e-learning media literacy substance prevention curriculum: An RCT of adolescents disseminated through a community organization. Drug and Alcohol Dependence, 214(July), 108170. https://doi.org/10.1016/j.drugalcdep.2020.108170

Gupta, A., & Katarya, R. (2020). Social media based surveillance systems for healthcare using machine learning: A systematic review. Journal of Biomedical Informatics, 108, 103500. https://doi.org/10.1016/j.jbi.2020.103500

Hwang, G. J., Wang, S. Y., & Lai, C. L. (2021). Effects of a social regulation-based online learning framework on students’ learning achievements and behaviors in mathematics. Computers and Education, 160, 104031. https://doi.org/10.1016/j.compedu.2020.104031

Ibáñez, M. B., Uriarte Portillo, A., Zatarain Cabada, R., & Barrón, M. L. (2020). Impact of augmented reality technology on academic achievement and motivation of students from public and private Mexican schools. A case study in a middle-school geometry course. Computers and Education, 145, 103734. https://doi.org/10.1016/j.compedu.2019.103734

Jeawak, S. S., Jones, C. B., & Schockaert, S. (2020). Predicting environmental features by learning spatiotemporal embeddings from social media. Ecological Informatics, 55, 101031. https://doi.org/10.1016/j.ecoinf.2019.101031

Jiang, Q., Matsuzaki, Y., Li, K., & Uitto, J. (2006). Transcriptional regulation and characterization of the promoter region of the human ABCC6 gene. Journal of Investigative Dermatology, 126(2), 325–335. https://doi.org/10.1038/sj.jid.5700065

Kramer, C., König, J., Strauß, S., & Kaspar, K. (2020). Classroom videos or transcripts? A quasi-experimental study to assess the effects of media-based learning on pre-service teachers’ situation-specific skills of classroom management. International Journal of Educational Research, 103(June), 101624. https://doi.org/10.1016/j.ijer.2020.101624

Kurniawan, A., Ashari, & Maftukhin, A. (2017). Pengembangan Media Pembelajaran Menggunakan software lectora Inspire untuk Meningkatkan Motivasi Belajar Fisika Siswa Kelas X MAN Purworejo Tahun Pelajaran 2016 / 2017. Radiasi, 10(1), 35–40.

Lai, C., & Tai, C. P. (2021). Types of social media activities and Hong Kong South and Southeast Asians Youth’s Chinese language learning motivation. System, 97, 102432. https://doi.org/10.1016/j.system.2020.102432

Meilani, D., & Aiman, U. (2020). Implementasi Pembelajaran Abad 21 terhadap Hasil Belajar IPA Peserta Didik dengan Pengendalian Motivasi Belajar. Indonesian Journal of Primary Education, 4(1), 19–24.

Muro, A., Soler, J., Cebolla, À., & Cladellas, R. (2018). A positive psychological intervention for failing students: Does it improve academic achievement and motivation? A pilot study. Learning and Motivation, 63(April), 126–132. https://doi.org/10.1016/j.lmot.2018.04.002

Nofiana, M., & Julianto, T. (2018). Upaya Peningkatan Literasi Sains Siswa Melalui Pembelajaran Berbasis Keunggulan Lokal. Biosfer : Jurnal Tadris Biologi, 9(1), 24. https://doi.org/10.24042/biosf.v9i1.2876

Oliver, M. C., & Adkins, M. J. (2020). “Hot-headed” students? Scientific literacy, perceptions and awareness of climate change in 15-year olds across 54 countries. Energy Research and Social Science, 70(June), 101641. https://doi.org/10.1016/j.erss.2020.101641

Puspitoningrum, E. (2018). Implementasi Literasi untuk Meningkatkan Motivasi Pembelajaran pada Materi Membaca Aksara Jawa Siswa SMA. Jurnal Bahasa, Seni, Dan Pengajaran, 2(1), 35–45. jurnal_wahani@unpkediri.ac.id

Qazi, A., Naseer, K., Qazi, J., AlSalman, H., Naseem, U., Yang, S., Hardaker, G., & Gumaei, A. (2020). Conventional to online education during COVID-19 pandemic: Do develop and underdeveloped nations cope alike. Children and Youth Services Review, 119, 105582. https://doi.org/10.1016/j.childyouth.2020.105582

Reiska, P., Soika, K., Möllits, A., Rannikmäe, M., & Soobard, R. (2015). Using Concept Mapping Method for Assessing Students’ Scientific Literacy. Procedia - Social and Behavioral Sciences, 177(July 2014), 352–357. https://doi.org/10.1016/j.sbspro.2015.02.357

Sari, A. C., Fadillah, A. M., Jonathan, J., & Prabowo, M. R. D. (2019). Interactive gamification learning media application for blind children using android smartphone in Indonesia. Procedia Computer Science, 157, 589–595. https://doi.org/10.1016/j.procs.2019.09.018

Scott, N., & Goode, D. (2020). The use of social media (some) as a learning tool in healthcare education: An integrative review of the literature. Nurse Education Today, 87(January), 104357. https://doi.org/10.1016/j.nedt.2020.104357

Şengel, Ü., Çevrimkaya, M., & Zengin, B. (2020). The effect of professional expectations of tour guiding students on their professional motivation. Journal of Hospitality, Leisure, Sport and Tourism Education, xxxx, 100293. https://doi.org/10.1016/j.jhlste.2020.100293

Shang, R. A., & Sun, Y. (2021). So little time for so many ties: Fit between the social capital embedded in enterprise social media and individual learning requirements. In Computers in Human Behavior (Vol. 120). Elsevier Ltd. https://doi.org/10.1016/j.chb.2020.106615

Sholihin, M., Sari, R. C., Yuniarti, N., & Ilyana, S. (2020). A new way of teaching business ethics: The evaluation of virtual reality-based learning media.

International Journal of Management Education, 18(3), 100428. https://doi.org/10.1016/j.ijme.2020.100428

Sriwahyuni, Adnan, A., & Muis, A. (2020). Pengembangan Multimedia Interaktif Berbasis Literasi Sains Pada Materi Biologi Kelas X Semester Genap Madrasah Aliyah (Ma) Amir …. http://eprints.unm.ac.id/18198/

Tam, H. lin, Kwok, S. Y. C. L., Hui, A. N. N., Chan, D. K. yin, Leung, C., Leung, J., Lo, H., & Lai, S. (2021). The significance of emotional intelligence to students’ learning motivation and academic achievement: A study in Hong Kong with a Confucian heritage. Children and Youth Services Review, 121, 105847. https://doi.org/10.1016/j.childyouth.2020.105847

Techakosit, S., & Wannapiroon, P. (2015). Connectivism Learning Environment in Augmented Reality Science Laboratory to Enhance Scientific Literacy. Procedia - Social and Behavioral Sciences, 174(2), 2108–2115. https://doi.org/10.1016/j.sbspro.2015.02.009

Turiman, P., Omar, J., Daud, A. M., & Osman, K. (2012). Fostering the 21st Century Skills through Scientific Literacy and Science Process Skills. Procedia - Social and Behavioral Sciences, 59, 110–116. https://doi.org/10.1016/j.sbspro.2012.09.253

Udompong, L., Traiwichitkhun, D., & Wongwanich, S. (2014). Causal Model of Research Competency Via Scientific Literacy of Teacher and Student. Procedia - Social and Behavioral Sciences, 116(2001), 1581–1586. https://doi.org/10.1016/j.sbspro.2014.01.438

Wang, H., Yin, Y., Hui, X. Y., Bai, J. Q., & Qu, Z. G. (2020). Prediction of effective diffusivity of porous media using deep learning method based on sample structure information self-amplification. Energy and AI, 2. https://doi.org/10.1016/j.egyai.2020.100035

Wei, H., Bao, H., & Ruan, X. (2020). Machine learning prediction of thermal transport in porous media with physics-based descriptors. International Journal of Heat and Mass Transfer, 160, 120176. https://doi.org/10.1016/j.ijheatmasstransfer.2020.120176

Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2022-09-11
 
How to Cite
Asy’ari, Fitriyah, L., & Putra, D. A. (2022). Implementation of Flora and Fauna-Based Smart Word Learning Media to Empower Elementary School Students’ Motivation and Science Literacy. Pedagogia : Jurnal Pendidikan, 11(2), 123-136. https://doi.org/10.21070/pedagogia.v11i2.1500
Section
Education General