Analisis Kemampuan Self Regulation Siswa pada Pembelajaran Sains saat PJJ Online di Era Pandemi Covid-19

  • Novalina Setyaningrum Universitas Pakuan Bogor
  • Bibin Rubini Universitas Pakuan Bogor
  • Didit Ardianto Universitas Pakuan Bogor

Abstract

This study aims to determine students' self regulation  during the Covid-19 pandemic at islamic senior high school in Kabupaten Karawang, West Java. The research method used  descriptive method and data collection techniques using a survey through Google Form. The research subjects were Grade X,XI,XII . The results showed that the skill of students’ self regulation was in the high category with presentage of 17%, medium category 69% and high catogory 14%. Based on three components of self-regulation, majority of students were in medium category (cognitive 66%, behavior 62% dan motivation 50%). Analysis also have done to measure the skill of students’ self regulation before and after online learning. Majority of the students were ini medium category (preparation 76%, implementation  53%, reflection 64%). The result of the reasearch show that the students need more effort to enhance the skill of self regulation, to be success in online learning.

Keywords: Self Regulation, PJJ online, Covid-19

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References

Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The Fear of COVID-19 Scale: Development and Initial Validation. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00270-8

Andrade, H. L., & Heritage, M. (2017). Using Formative Assessment to Enhance Learning, Achievement, and Academic Self-Regulation. Using Formative Assessment to Enhance Learning, Achievement, and Academic Self-Regulation. https://doi .org/10.4 324/978 1315623856

Blaschke, L. M. (2014). Using social media to engage and develop the online learner in self-determined learning. Research in Learning Technology, 22(February). https://doi.org/10.3402/rlt.v22.21635

Brooks, C., Carroll, A., Gillies, R. M., Hattie, J., & Gillies, R. (2019). A Matrix of Feedback for Learning. 44(4).

Caird, S. P., & Hallett, S. H. (2019). Towards evaluation design for smart city development. Journal of Urban Design, 24(2), 188–209.https://doi.org/10.108 0/1 3574809.2018.1469402

Daniel, S. J. (2020). Education and the COVID-19 pandemic. Prospects, (0123456789). https://doi.org/10.1007/s11125-020-09464-3

Daniela, P. (2015). The Relationship Between Self-Regulation, Motivation And Performance At Secondary School Students. Procedia - Social and Behavioral Sciences, 191, 2549–2553. https://doi. org/10.1016/j.sbspro.2015.04.410

Elleithy, K., & Sobh, T. (2014). Khaled Elleithy Tarek Sobh.

Golitsyna, I. (2017). Educational Process in Electronic Information-educational Environment. Procedia - Social and Behavioral Sciences, 237(June 2016), 939–944. https://doi.org/10.1016/ j.sbspro. 2017.02.132

Hattie, J., & Timperley, H. (2007). The Power of Feedback. 77(1), 81–112. https://doi.org/10 .3102/003465430298487

Hooshyar, D., Kori, K., Pedaste, M., & Bardone, E. (2019). The potential of open learner models to promote active thinking by enhancing self-regulated learning in online higher education learning environments. British Journal of Educational Technology, 50(5), 2365–2386. https://doi.org/ 10.1111/ bjet.12826

Kuo, Y.-C., Tseng, H., & Kuo, Y.-T. (2020). Internet Self-Efficacy, Self-Regulation, and Student Performance: African-American Adult Students in Online Learning. International Journal on E-Learning, 19(2), 161–180. Retrieved from http://www.aace. org/pubs/ijel

Lin, J. W., Huang, H. H., & Chuang, Y. S. (2015). The impacts of network centrality and self-regulation on an e-learning environment with the support of social network awareness. British Journal of Educational Technology, 46(1), 32–44. https://doi.org/ 10.1111/bjet.12120

Odinokaya, M., Krepkaia, T., Karpovich, I., & Ivanova, T. (2019). Self-regulation as a basic element of the professional culture of engineers. Education Sciences, 9(3). https://doi.org/10.3390/educsci9030200

Pan, X. Ben. (2020). Application of personal-oriented digital technology in preventing transmission of COVID-19, China. Irish Journal of Medical Science, 189(4), 1145–1146. https://doi.org/10.1007/s11845-020-02215-5

Runhaar, P., Wagenaar, K., Wesselink, R., & Runhaar, H. (2019). Encouraging Students’ Pro-environmental Behaviour: Examining the Interplay Between Student Characteristics and the Situational Strength of Schools. Journal of Education for Sustainable Development, 13(1), 45–66. https://doi.org/10.1177/0973408219840544

Sahronih, S., Purwanto, A., & Sumantri, M. S. (2019). The effect of interactive learning media on students’ science learning outcomes. ACM International Conference Proceeding Series, Part F148391, 20–24. https://doi.org/10.1145/3323771.3323797

Salzberger, B., Glück, T., & Ehrenstein, B. (2020). Successful containment of COVID-19: the WHO-Report on the COVID-19 outbreak in China. Infection, 48(2), 151–153. https://doi.org/10.1007/s15010-020-01409-4

Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36(1–2), 111–139. https://doi.org/10.1007/s11165-005-3917-8

Schunk, D. H. (2011). Handbook of Self-Regulation of Learning and Performance. In Handbook of Self-Regulation of Learning and Performance. https://doi.org/10 .4324/9780203839010

Sutter, D., & Smith, D. J. (2017). Coordination in disaster: Nonprice learning and the allocation of resources after natural disasters. Review of Austrian Economics, 30(4), 469–492. https://doi.org/10 .1007/ s11138-016-0369-5

Tian, S., Hu, N., Lou, J., Chen, K., Kang, X., Xiang, Z., … Zhang, J. (2020). Characteristics of COVID-19 infection in Beijing. Journal of Infection, 80(4), 401–406.https://doi.org/10.1016/.jinf.2020.02.018

Xie, K., Hensley, L. C., Law, V., & Sun, Z. (2019). Self-regulation as a function of perceived leadership and cohesion in small group online collaborative learning. British Journal of Educational Technology, 50(1), 456–468. https://doi.org/10.1111/bjet.12594

Zaka, P. (2013). A case study of blended teaching and learning in a New Zealand secondary school , using an ecological framework. Journal of Open, Flexible, and Distance Learning, 17(1), 24–40.

Zheng, J., Xing, W., Zhu, G., Chen, G., Zhao, H., & Xie, C. (2020). Profiling self-regulation behaviors in STEM learning of engineering design. Computers and Education, 143(April 2019), 103669. https://doi.org/ 10.1016/j.compedu.2019.103669

Published
2021-07-10
How to Cite
Setyaningrum, N., Rubini, B., & Ardianto, D. (2021). Analisis Kemampuan Self Regulation Siswa pada Pembelajaran Sains saat PJJ Online di Era Pandemi Covid-19. JIPFRI (Jurnal Inovasi Pendidikan Fisika Dan Riset Ilmiah), 5(1), 9-20. https://doi.org/10.30599/jipfri.v5i1.852
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Articles