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Keywords

Metacognition; Problem-solving; Student facilitator and explaining

Document Type

Article

Abstract

This research aims to reveal (1) the impact of implementing the student facilitating-and-explaining teaching model based on problem-solving on the improvement of students' metacognitive abilities, (2) the profile of metacognitive abilities, and (3) students' responses. This research is a quasi-experiment with a nonequivalent control group design. The sample was established using the simple random sampling technique, resulting in one control group and one experimental group. Research data were obtained from pretest and posttest scores of metacognitive abilities, the MAI self-assessment questionnaire, and students' response questionnaires. The t-test results show that the tcount is higher than ttable, indicating a significant difference between the post-test scores of the experimental and control groups. Additionally, the profile of students' metacognitive abilities before the learning process was mostly in the low and sufficient criteria, while after the implementation of the learning model, metacognitive abilities were mostly in the good criteria. The research findings were also supported by students' response questionnaire, with an 80.66% rating in the good category. In conclusion, the student facilitator and explaining model based on problem-solving have a significant impact on the improvement of students' metacognitive abilities.

First Page

47

Last Page

61

Page Range

47-61

Issue

1

Volume

10

Digital Object Identifier (DOI)

10.21831/jipi.v10i1.65617

References

Abdullah, H., Malago, J. D., & Arafah, K. (2021). The implementation of physics learning through online mode during pandemic covid-19 using metacognitive knowledge-based materials. Jurnal Pendidikan IPA Indonesia, 10(2), 220–227. https://doi.org/10.15294/jpii.v10i2.28583

Alt, D., Raichel, N., & Naamati-Schneider, L. (2022). Higher Education Students’ Reflective Journal Writing and Lifelong Learning Skills: Insights From an Exploratory Sequential Study. Frontiers in Psychology, 12(January). https://doi.org/10.3389/fpsyg.2021.707168

Arikunto, S. (2018). Dasar-Dasar evaluasi pendidikan (2nd ed.). Bumi Aksara.

Chen, P., Yang, D., Metwally, A. H. S., Lavonen, J., & Wang, X. (2023). Fostering computational thinking through unplugged activities: A systematic literature review and meta-analysis. International Journal of STEM Education, 10(1). https://doi.org/10.1186/s40594-023-00434-7

Clabough, E. B. D., & Clabough, S. W. (2016). Using rubrics as a scientific writing instructional method in early stage undergraduate neuroscience study. Journal of Undergraduate Neuroscience Education, 15(1), A85–A93.

Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.

Fidai, A., Capraro, M. M., & Capraro, R. M. (2020). “Scratch”-ing computational thinking with Arduino: A meta-analysis. Thinking Skills and Creativity, 38(July), 100726. https://doi.org/10.1016/j.tsc.2020.100726

Gholam, A. (2019). Inquiry-Based Learning: Student Teachers’ Challenges and Perceptions. Journal of Inquiry & Action in Education, 10(2), 112–133.

Hajar, S., & Sukma, E. (2020). Implementasi Model Student Facilitator and Explaining pada Pembelajaran Tematik Terpadu di SD. E-Jurnal Inovasi Pembelajaran, 8(10), 115–130.

Hansson, L., Leden, L., & Thulin, S. (2020). Book talks as an approach to nature of science teaching in early childhood education. International Journal of Science Education, 42(12), 2095–2111. https://doi.org/10.1080/09500693.2020.1812011

Haryani, S. (2012). Membangun Metakognisi Dan Karakter Calon Guru Melalui Pembelajaran Praktikum Kimia Analitik Berbasis Masalah. UNNES Press.

Heeg, D. M., & Avraamidou, L. (2023). The use of Artificial intelligence in school science: a systematic literature review. Educational Media International, 60(2), 125–150. https://doi.org/10.1080/09523987.2023.2264990

Hettithanthri, U., Hansen, P., & Munasinghe, H. (2023). Exploring the architectural design process assisted in conventional design studio: a systematic literature review. International Journal of Technology and Design Education, 33(5), 1835–1859. https://doi.org/10.1007/s10798-022-09792-9

Jin, Q., & Kim, M. (2021). Supporting elementary students’ scientific argumentation with argument-focused metacognitive scaffolds (AMS). International Journal of Science Education, 43(12), 1984–2006. https://doi.org/10.1080/09500693.2021.1947542

Kai, S., Chu, W., Reynolds, R. B., Tavares, N. J., & Notari, M. (2021). 21st Century Learning. https://doi.org/10.4018/978-1-7998-4102-9.ch002

Khair, B. N., Astria, F. P., Wardani, K. S. K., Nurwahidah, N., & Sriwarthini, N. L. P. N. (2021). Pengembangan LKPD Literasi Sains Berbasis Lesson Study for Learning Community (LSLC). Jurnal Pijar Mipa, 16(1), 136–141. https://doi.org/10.29303/jpm.v16i1.2297

Lee, S., Choi, B., Maia, C. C., Park, J., Youm, S. H., & Lee, S. (2022). Integrating simulation into design: an experiment in pedagogical environments. International Journal of Technology and Design Education, 32(4), 2257–2277. https://doi.org/10.1007/s10798-021-09682-6

Männistö, M., Mikkonen, K., Kuivila, H. M., Virtanen, M., Kyngäs, H., & Kääriäinen, M. (2020). Digital collaborative learning in nursing education: a systematic review. Scandinavian Journal of Caring Sciences, 34(2), 280–292. https://doi.org/10.1111/scs.12743

McLure, F., Won, M., & Treagust, D. F. (2022). Analysis of Students’ Diagrams Explaining Scientific Phenomena. Research in Science Education, 52(4), 1225–1241. https://doi.org/10.1007/s11165-021-10004-y

Meltzer, D. E. (2002). The relationship between mathematics preparation and conceptual learning gains in physics: A possible “hidden variable” in diagnostic pretest scores. American Journal of Physics, 70(12), 1259–1268. https://doi.org/10.1119/1.1514215

National Research Council. (2014). Strategic Engagement in Global S&T: Opportunities for Defense Research. In The National Academies Press. https://doi.org/https://doi.org/10.17226/18816.

Polya. G. (1973). How to Solve It: A New Aspect of Mathematical Method (Second ed). Princeton University Press.

Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. In Contemporary Educational Psychology (Vol. 19, Issue 4, pp. 460–475). https://doi.org/10.1006/ceps.1994.1033

Schwichow, M., Brandenburger, M., Brandenburger, & Wilbers, J. (2022). Analysis of experimental design errors in elementary school: how do students identify, interpret, and justify controlled and confounded experiments? International Journal of Science Education, 44(1), 91–114. https://doi.org/10.1080/09500693.2021.2015544

Silveira, E. A., de Sousa Romeiro, A. M., & Noll, M. (2022). Guide for scientific writing: how to avoid common mistakes in a scientific article. Journal of Human Growth and Development, 32(3), 341–352. https://doi.org/10.36311/jhgd.v32.13791

Song, J. H., Loyal, S., & Lond, B. (2021). Metacognitive awareness scale, domain specific (MCAS-DS): Assessing metacognitive awareness during Raven’s progressive matrices. Frontiers in Psychology, 11(607577).

Sri Haryani. (2012). Haryani, S. (2012). Membangun Metakognisi Dan Karakter Calon Guru Melalui Pembelajaran Praktikum Kimia Analitik Berbasis Masalah. Semarang: UNNES Press. UNNES Press.

Sukarno, & Widdah, M. El. (2020). The effect of students’ metacognition and digital literacy in virtual lectures during the covid-19 pandemic on achievement in the “methods and strategies on physics learning” course. Jurnal Pendidikan IPA Indonesia, 9(4), 477–488. https://doi.org/10.15294/jpii.v9i4.25332

Supeno, Maryani, Lesmono, A. D., & Astutik, S. (2023). The Effect of Scaffolding Prompting Questions on Scientific Writing Skills in the Inquiry Classroom. JPI (Jurnal Pendidikan Indonesia), 12(1), 30–38. https://doi.org/10.23887/jpiundiksha.v12i1.54655

Suyatno. (2009). Menjelajah Pembelajaran Inovatif. Masmedia Buana Pustaka.

Tsai, M. J., Liang, J. C., & Hsu, C. Y. (2021). The Computational Thinking Scale for Computer Literacy Education. Journal of Educational Computing Research, 59(4), 579–602. https://doi.org/10.1177/0735633120972356

Uchinokura, S. (2020). Primary and lower secondary students’ perceptions of representational practices in science learning: focus on drawing and writing. International Journal of Science Education, 42(18), 3003–3025. https://doi.org/10.1080/09500693.2020.1849854

Warliyah, H., Permanasari*, A., Rachman, I., & Matsumoto, T. (2023). Low Carbon e-Book on Climate Change with Education for Sustainable Development Framework for Sustainability Literacy of 7th Grader. Jurnal IPA & Pembelajaran IPA, 7(4), 317–334. https://doi.org/10.24815/jipi.v7i4.33663

Wrahatnolo, T., & Munoto. (2018). 21St Centuries Skill Implication on Educational System. IOP Conference Series: Materials Science and Engineering, 296(1). https://doi.org/10.1088/1757-899X/296/1/012036

Yang, D. C., & Sianturi, I. A. J. (2019). Assessing students’ conceptual understanding using an online three-tier diagnostic test. Journal of Computer Assisted Learning, 35(5), 678–689. https://doi.org/10.1111/jcal.12368

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