ANALISIS KOLABORASI GURU DAN ORANG TUA DALAM PEMBELAJARAN IPA JARAK JAUH

Rahmat Syah

doi:10.33578/pjr.v6i5.8900

Authors

Rahmat Syah STABN Sriwijaya, Tangerang, Indonesia Author

DOI:

https://doi.org/10.33578/pjr.v6i5.8900

Keywords:

collaboration, teacher, parent, distance learning

Abstract

This article analyzes the collaboration between teachers and parents through distance learning in natural science education and analyzes the role of elementary school teachers. The method used was a survey with a sample of 48 student parents. Data analysis used quantitative analysis, which emphasized the influence of the teacher's and parents’ role on the successful natural science learning at school for school-age children. Data analysis showed that the correlation value between the teacher's role variable and students’ learning outcomes was 0.635 and the t-count value was higher than the t-table. Hence, it could be said that there was an influence between the teacher's role and the student’s success in the classroom. The correlation value of the parent's role on students’ learning success was 0.375 and the t-count value was 2.582, which meant that it was higher than the t-table. Therefore, it could be ascertained that the influence of the parent's role on students’ success in learning was significant. The results of the measurements indicated that there was an influence of the role of teachers and parents on students’ success in school-age children's education in natural science learning. Understanding of scientific concepts was still rigid by following reference books, limited tools, materials, and time, and the implementation of science concepts did not yet refer to the environment of school-age children. Based on the results, it could be resumed that the collaboration of teachers and parents needed to be improved in accordance with the teaching purposes of natural science learning subjects for school-age children to improve online and distance learning.

References

Abuhammad, S. (2020). Barriers to distance learning during the COVID-19 outbreak: A qualitative review from parents’ perspective. Heliyon, 6(11), e05482. https://doi.org/10.1016/j.heliyon.2020.e05482

Aryani, N., Mudjiran, & Rakimahwati. (2020). The learning management model of early childhood education program based on children development. International Journal of Scientific and Technology Research, 9(1).

Aspers, P., & Corte, U. (2019). What is qualitative in qualitative research. Qualitative Sociology, 42(2), 139–160. https://doi.org/10.1007/s11133-019-9413-7

Chin, C., & Osborne, J. (2008). Students’ questions: A potential resource for teaching and learning science. Studies in Science Education, 44(1), 1–39. https://doi.org/10.1080/03057260701828101

Currie, J. (2001). Early childhood education programs. Journal of Economic Perspectives, 15(2), 213–238. https://doi.org/10.1257/jep.15.2.213

Darmawan, D., Yatimah, D., Sasmita, K., & Syah, R. (2020). Analysis of non-formal education tutor capabilities in exploring assessment for science learning. Jurnal Pendidikan IPA Indonesia, 9(2), 70–78. https://doi.org/10.15294/jpii.v9i2.24025

Dias, S. B., Hadjileontiadou, S. J., Diniz, J., & Hadjileontiadis, L. J. (2020). DeepLMS: A deep learning predictive model for supporting online learning in the COVID-19 era. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-76740-9

Dong, C., Cao, S., & Li, H. (2020). Young children’s online learning during COVID-19 pandemic: Chinese parents’ beliefs and attitudes. Children and Youth Services Review, 118, 105440. https://doi.org/10.1016/j.childyouth.2020.105440

dos Santos, P. M., & Cirillo, M. Â. (2021). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics: Simulation and Computation. https://doi.org/10.1080/03610918.2021.1888122

Etikan, I. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11

Felson, J. (2017). Quantitative methods. In The Cambridge handbook of sociology. Cambridge University Press. https://doi.org/10.1017/9781316418376.012

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312

Güven, S., & Yılmaz, N. (2017). Role and importance of family at preschool children environmental education. European Journal of Sustainable Development, 6(4), 105–114. https://doi.org/10.14207/ejsd.2017.v6n4p105

Hidayat, A. (2018). PLS-SEM: Pengukuran kecocokan model (inner dan outer). https://www.statistikian.com

Hilkenmeier, F., Bohndick, C., Bohndick, T., & Hilkenmeier, J. (2020). Assessing distinctiveness in multidimensional instruments without access to raw data: A manifest Fornell–Larcker criterion. Frontiers in Psychology, 11, 223. https://doi.org/10.3389/fpsyg.2020.00223

Isikoglu Erdogan, N., Johnson, J. E., Dong, P. I., & Qiu, Z. (2019). Do parents prefer digital play? Examination of parental preferences and beliefs in four nations. Early Childhood Education Journal, 47(2), 131–142. https://doi.org/10.1007/s10643-018-0901-2

Joo, Y. S., Magnuson, K., Duncan, G. J., Schindler, H. S., Yoshikawa, H., & Ziol-Guest, K. M. (2020). What works in early childhood education programs? A meta-analysis of preschool enhancement programs. Early Education and Development, 31(1), 1–26. https://doi.org/10.1080/10409289.2019.1624146

Karadağ, F., & Demirtaş, V. Y. (2018). The effectiveness of the philosophy with children curriculum on critical thinking skills of pre-school children. Eğitim ve Bilim, 43(195), 19–40. https://doi.org/10.15390/EB.2018.7268

Karavida, V., & Tympa, E. (2021). Parents’ beliefs and attitudes on their children’s distance education performance during the COVID-19 pandemic in Greek preschool settings. Journal of Education, Society and Behavioural Science, 34(6), 1–12. https://doi.org/10.9734/jesbs/2021/v34i630338

Marchant, G. J., Paulson, S. E., & Rothlisberg, B. A. (2001). Relations of middle school students’ perceptions of family and school contexts with academic achievement. Psychology in the Schools, 38(6), 505–519. https://doi.org/10.1002/pits.1039

McArthur, J., Blackie, M., Pitterson, N., & Rosewell, K. (2021). Student perspectives on assessment: Connections between self and society. Assessment & Evaluation in Higher Education. https://doi.org/10.1080/02602938.2021.1958748

McGrew, S., & Byrne, V. L. (2020). Who is behind this? Preparing high school students to evaluate online content. Journal of Research on Technology in Education, 53(4), 457–472. https://doi.org/10.1080/15391523.2020.1795956

Méndez-Suárez, M. (2021). Marketing mix modeling using PLS-SEM: Bootstrapping the model coefficients. Mathematics, 9(15), 1832. https://doi.org/10.3390/math9151832

Mishra, P., Singh, U., Pandey, C. M., Mishra, P., & Pandey, G. (2019). Application of student’s t-test, analysis of variance, and covariance. Annals of Cardiac Anaesthesia, 22(4), 407–411. https://doi.org/10.4103/aca.ACA-94-19

Ntanos, S., Kyriakopoulos, G. L., Arabatzis, G., Palios, V., & Chalikias, M. (2018). Environmental behavior of secondary education students: A case study in central Greece. Sustainability, 10(5), 1663. https://doi.org/10.3390/su10051663

O’Connor, G., Fragkiadaki, G., Fleer, M., & Rai, P. (2021). Early childhood science education from 0 to 6: A literature review. Education Sciences, 11(4), 178. https://doi.org/10.3390/educsci11040178

Payne, P. G. (2005). Families, homes and environmental education. Australian Journal of Environmental Education, 21(3), 1–12. https://doi.org/10.1017/S0814062600000975

Reimers, F., Schleicher, A., Saavedra, J., & Tuominen, S. (2020). Supporting the continuation of teaching and learning during the COVID-19 pandemic. OECD.

Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: A software review. Journal of Marketing Analytics, 7(3), 162–202. https://doi.org/10.1057/s41270-019-00058-3

Stroetinga, M., Leeman, Y., & Veugelers, W. (2019). Primary school teachers’ collaboration with parents on upbringing: A review of the empirical literature. Educational Review, 71(5), 650–671. https://doi.org/10.1080/00131911.2018.1459478

Tatminingsih, S., Oktarianingsih, T., & Jovanka, D. R. (2021). Online learning for early childhood: A case study in Indonesia. Journal of Southwest Jiaotong University, 56(1). https://doi.org/10.35741/issn.0258-2724.56.1.11

UNESCO. (2020). UNESCO COVID-19 education response. UNESCO.

Worth, K. (2010). Science in early childhood classrooms: Content and process. Early Childhood Research and Practice, SEED Conference Proceedings.

Yoshikawa, H., Weiland, C., Brooks-Gunn, J., Burchinal, M., Espinosa, L., Gormley, W., Magnuson, K., Phillips, D., & Zaslow, M. (2013). Investing in our future: The evidence base on preschool education. Society for Research in Child Development.