Model-Eliciting Activities on Students' Mathematical Literacy by Reviewing Differences in Self-Regulated Learning
Model-Eliciting Activities pada Literasi Matematika Siswa dengan Meninjau Perbedaan dalam Self-Regulated Learning
DOI:
https://doi.org/10.21070/ups.8687Keywords:
Model-Eliciting Activities, Mathematical Literacy, Self-Regulated LearningAbstract
The mathematical literacy of students is still relatively low. However, until now, it is still a goal and a necessity as a fundamental skill to solve problems in various contexts, especially in formulating, employing, and interpreting. Previous studies have proven that model-eliciting activities effectively enhance mathematical literacy. On the other hand, mathematical literacy is influenced by differences in self-regulated learning. Therefore, this study answers whether implementing model-eliciting activities regarding self-regulated learning differences affects students' mathematical literacy. This study used a quasi-experimental non-equivalent pretest and posttest design. Data collection used a mathematical literacy test and a self-regulated learning questionnaire. The data analysis was a two-way analysis of variance test followed by the Tukey test. The study showed that implementing model-eliciting activities by considering differences in self-regulated learning affected students' mathematical literacy. Another finding is that students with high self-regulated learning are better at mathematical literacy than those with low self-regulated learning.
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M. Holenstein, G. Bruckmaier, and A. Grob, “Transfer effects of mathematical literacy: an integrative longitudinal study,” Eur. J. Psychol. Educ., vol. 36, no. 3, pp. 799–825, 2021, doi: 10.1007/s10212-020-00491-4.
OECD, PISA 2022 Results (Volume I): The state of learning and equity in education, PISA, OECD Publishing, Paris,. 2023. doi: 10.1787/53f23881-en.
S. A. Sikko, “What can we learn from the different understandings of mathematical literacy ?,” Numeracy, vol. 16, no. 1, 2023, [Online]. Available: https://doi.org/10.5038/1936-4660.16.1.1410
B. Monica, S. E. Wibowo, and A. M. B. Harsono, “The challenges of literacy culture in the digital era: The role of fairy tales through the country in improving literacy and numerical literacy,” Al Ibtida J. Pendidik. Guru MI, vol. 10, no. 2, p. 265, 2023, doi: 10.24235/al.ibtida.snj.v10i2.12412.
F. K. Nisa and E. Arliani, “Junior high school students’ mathematical literacy in terms of mathematical self-efficacy,” J. Elem., vol. 9, no. 1, pp. 283–297, Jan. 2023, doi: 10.29408/jel.v9i1.7140.
A. A. L. Mubarokah and M. F. Amir, “Primary students’ errors in solving mathematical literacy problems based on newman analysis,” Math. Educ. J., vol. 18, no. 2, pp. 217–230, 2024, doi: 10.22342/jpm.v18i2.pp217-230.
S. N. W. Utami and M. F. Amir, “Primary school student’s mathematical literacy in solving multiple-solution,” Pendidik. Dasar Dan Pembelajaran, vol. 13, no. 2, pp. 165–178, 2023, doi: 10.25273/pe.v13i2.18505.
P. V. J. Runtu, R. J. Pulukadang, N. O. Mangelep, M. Sulistyaningsih, and O. T. Sambuaga, “Student’s mathematical literacy: A study from the perspective of ethnomathematics context in North Sulawesi Indonesia,” J. High. Educ. Theory Pract., vol. 23, no. 3, pp. 57–65, 2023, doi: 10.33423/jhetp.v23i3.5840.
I. S. Rufiana, S. Arifin, M. Y. Randy, and F. N. Amaliya, “Analysis of student errors in solving numeracy literacy problems of graph representation model in elementary school,” Al Ibtida J. Pendidik. Guru MI, vol. 11, pp. 300–319, 2024, [Online]. Available: http://dx.doi.org/10.24235/al.ibtida.snj.v11i2.18720
S. H. Khotimah, A. S. Budi, and M. S. Sumantri, “Improving mathematical literacy ability of llementary school students through a field trip learning,” Al Ibtida J. Pendidik. Guru MI, vol. 6, no. 2, p. 219, 2019, doi: 10.24235/al.ibtida.snj.v6i2.5014.
M. F. Mei, M. T. S. Wondo, S. B. Seto, and K. D. P. Meke, “Penggunaan model eleciting activities (MEAs) dalam meningkatkan hasil belajar ditinjau dari self confidence pada materi aritmatika,” Aksioma J. Progr. Stud. Pendidik. Mat., vol. 11, no. 3, p. 1768, Sep. 2022, doi: 10.24127/ajpm.v11i3.5436.
S. Hartati, R. A. Bilqis, and A. Rinaldi, “Mathematical problem-solving abilities and reflective thinking abilities: The impact of the influence of eliciting activities models,” 2020. [Online]. Available: https://dx.doi.org/10.24042/ajpm.v11i1.6709
S. A. Chamberlin and S. M. Moon, “Model-eliciting activities as a tool to develop and identify creatively gifted mathematicians,” J. Second. Gift. Educ., vol. 17, no. 1, pp. 37–47, Nov. 2005, doi: 10.4219/jsge-2005-393.
B. J. Zimmerman and D. H. Schunk, Self-regulated of learning and performance an introduction and an overview, 1st Ed. New York: Taylor & Francis, 2011. [Online]. Available: https://doi.org/10.4324/9780203839010
M. Mejeh and T. Held, Understanding the development of self-regulated learning: An intervention study to promote self-regulated learning in vocational schools, vol. 15, no. 3. Springer Netherlands, 2022. doi: 10.1007/s12186-022-09298-4.
J. Wirth, F. Stebner, M. Trypke, C. Schuster, and D. Leutner, “An interactive layers model of self-regulated learning and cognitive load,” Educ. Psychol. Rev., vol. 32, no. 4, pp. 1127–1149, 2020, doi: 10.1007/s10648-020-09568-4.
J. Huang, Y. Cai, Z. Lv, Y. Huang, and X. L. Zheng, “Toward self-regulated learning: effects of different types of data-driven feedback on pupils’ mathematics word problem-solving performance,” Front. Psychol., vol. 15, no. October, pp. 1–14, 2024, doi: 10.3389/fpsyg.2024.1356852.
J. Li, L. Ling, and C. W. Tan, “Blending peer instruction with just-in-time teaching: Jointly optimal task scheduling with feedback for classroom flipping,” in Proceedings of the Eighth ACM Conference on Learning @ Scale, in L@S ’21. New York, NY, USA: Association for Computing Machinery, 2021, pp. 117–126. doi: 10.1145/3430895.3460134.
B. I. Ansari, M. Saleh, Nurhaidah, and Taufiq, “Exploring students’ learning strategies and self-regulated learning in solving mathematical higher-order thinking problems,” Eur. J. Educ. Res., vol. volume-10-, no. volume-10-issue-2-april-2021, pp. 743–756, Apr. 2021, doi: 10.12973/eu-jer.10.2.743.
L. E. S. Harahap, S. Andayani, and D. Ekwan, “How does self-regulated learning affect students’ mathematics anxiety ?,” Pedagog. Res., vol. 10, no. 1, pp. 1–15, 2025, [Online]. Available: https://doi.org/10.29333/pr/15648
M. Lee, S. Y. Lee, J. E. Kim, and H. J. Lee, “Domain-specific self-regulated learning interventions for elementary school students,” Learn. Instr., vol. 88, no. July, p. 101810, 2023, doi: 10.1016/j.learninstruc.2023.101810.
B. Chimmalee and A. Anupan, “Effect of model-eliciting activities using cloud technology on the mathematical problem-solving ability of undergraduate students,” Int. J. Instr., vol. 15, no. 2, pp. 981–996, 2022, doi: 10.29333/iji.2022.15254a.
Y. J. Kehi and M. Naimnule, “Development of teaching materials with eliciting activities models based on ethnomathematics to improve mathematical literacy ability,” J. Eduscience, vol. 10, no. 1, pp. 51–61, 2023, doi: 10.36987/jes.v10i1.4013.
Florence Gabriel, Sarah Buckley, and Abhinava Barthakur, “The impact of mathematics anxiety on self-regulated learning and mathematical literacy,” Aust. J. Educ., vol. 64, no. 3, pp. 227–242, Oct. 2020, doi: 10.1177/0004944120947881.
Z. T. Şener and Y. Dede, “Investigating design, implementation and evaluation process of the model eliciting activities: the perspective of model eliciting principles,” Irish Educ. Stud., vol. 43, no. 3, pp. 459–480, Jul. 2024, doi: 10.1080/03323315.2022.2090984.
S. Sengil-Akar and I. E. Yetkin-Ozdemir, “Investigation of mathematical collective creativity of gifted middle school students during model-eliciting activities: the case of the quilt problem,” Int. J. Math. Educ. Sci. Technol., vol. 53, no. 2, pp. 337–363, Feb. 2022, doi: 10.1080/0020739X.2020.1768311.
H. Jung and C. Brady, “Modeling actions foregrounded in whole-class modeling discourse: A case study of a model-eliciting activity and a three-act task,” Math. Think. Learn., vol. 27, no. 1, pp. 1–24, Jan. 2025, doi: 10.1080/10986065.2023.2180849.
N. Sari, I. Dewi, and E. Surya, “Development of learning devices based on model eliciting activities to improve students problem solving ability and mathematical disposition,” J. Educ. Pract., no. 1, pp. 122–128, 2020, doi: 10.7176/jep/11-3-12.
G. Özbek and S. Cho, “Effects of mathematical modelling based project production and management program on gifted students’ mathematical modelling and reflective thinking for real-life problem solving,” Gift. Educ. Int. SAGE Publ. Ltd, vol. 39, no. 3, pp. 318–336, Sep. 2022, doi: 10.1177/02614294221118005.
S. Srikoon, C. Khamput, and K. Punsrigate, “Effects of stemen teaching models on mathematical literacy and mathematical problem-solving,” Malaysian J. Learn. Instr., vol. 21, no. 2 SE-Articles, pp. 79–115, Aug. 2024, doi: 10.32890/mjli2024.21.2.4.
Y. Karlen, K. Bäuerlein, and S. Brunner, Teachers’ assessment of self-regulated learning: Linking professional competences, assessment practices, and judgment accuracy, vol. 27, no. 2. Springer Netherlands, 2024. doi: 10.1007/s11218-023-09845-4.
D. Bednorz and S. Bruhn, “Influence of primary students’ self-regulated learning profiles on their rating of a technology-enhanced learning environment for mathematics,” Front. Psychol., vol. 14, no. April, 2023, doi: 10.3389/fpsyg.2023.1074371.
J. W. Cresswell and J. D. Cresswell, Research design qualitative, quantitative, and mixed methods approaches fifth edition, Fifth Edit. Los Angeles: SAGE Publications, Inc., 2018. doi: 10.4324/9780429469237-3.
V. D. Susanti, Z. Mastur, and I. Waluya, Stevanus Budi Kharisudin, “Application of eliciting activities model to improve students’ mathematical literacy ability,” AIP Conf. Proc., 2023, [Online]. Available: https://doi.org/10.1063/5.0153561
N. Sari, Z. Nuraeni, and N. Sukmaningthias, “Interaction between RME-based blended learning and self-regulated learning in improving mathematical literacy,” J. Elem., vol. 8, no. 2, pp. 631–644, 2022, doi: 10.29408/jel.v8i2.5751.
F. Arianto and M. Hanif, “Evaluating metacognitive strategies and self-regulated learning to predict primary school students’ self-efficacy and problem-solving skills in science learning,” J. Pedagog. Res., vol. 8, no. 3, pp. 301–319, 2024, doi: 10.33902/JPR.202428575.
S. Oudman, J. van de Pol, and T. van Gog, “Effects of self-scoring their math problem solutions on primary school students’ monitoring and regulation,” Metacognition Learn., vol. 17, no. 1, pp. 213–239, 2022, doi: 10.1007/s11409-021-09281-9.
M. V. Battaglia, F. M. Melchiori, M. V. Battaglia, and F. M. Melchiori, “Enhancing teacher self-efficacy through self-regulated learning and visualisation strategies: A pilot study in initial teacher education,” QTimes webmagazine, 2025, [Online]. Available: https://doi.org/10.14668/QTimes_17132
Y. Yuni, A. P. Kusuma, and N. Huda, “Problem-based learning in mathematics learning to improve reflective thinking skills and self-regulated learning,” Al-Jabar J. Pendidik. Mat., vol. 12, no. 2, pp. 467–480, 2021, doi: 10.24042/ajpm.v12i2.10847.
H. E. Putri, I. Muqodas, A. S. Sasqia, A. Abdulloh, and A. Yuliyanto, “Increasing self-regulated learning of elementary school students through the concrete-pictorial-abstract approach during the COVID-19 pandemic,” Prem. Educ. J. Pendidik. Dasar dan Pembelajaran, vol. 10, no. 2, p. 187, 2020, doi: 10.25273/pe.v10i2.7534.
N. J. De Ruig, P. F. De Jong, and M. Zee, “Stimulating elementary school students’ self-regulated learning through high-quality interactions and relationships: A narrative review,” Educ. Psychol. Rev., vol. 35, no. 3, pp. 1–34, 2023, doi: 10.1007/s10648-023-09795-5.
T. J. Huffman and N. Mentzer, “The impact of modeling-eliciting activities on high school student design performance,” Int. J. Technol. Des. Educ., vol. 31, no. 2, pp. 255–280, 2021, doi: 10.1007/s10798-019-09557-x.
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