Tren Penelitian Literasi Data Dalam Pendidikan Matematika: Sebuah Kajian Literatur
Keywords:
Kompetensi Abad 21, Literasi Data, Pendidikan Matematika, Tren PenelitianAbstract
Literasi data merupakan salah satu kompetensi penting abad ke-21 yang berperan dalam meningkatkan kemampuan berpikir kritis, analitis, dan pengambilan keputusan berbasis informasi. Dalam konteks pendidikan matematika, literasi data tidak hanya berkaitan dengan keterampilan membaca, menginterpretasi, dan menganalisis data, tetapi juga menghubungkannya dengan konsep-konsep matematis yang relevan. Artikel ini bertujuan untuk mengkaji tren penelitian literasi data dalam pendidikan matematika melalui telaah literatur dari berbagai sumber ilmiah dalam dua dekade terakhir. Metode kajian literatur digunakan untuk menelusuri dan menganalisis publikasi yang membahas integrasi literasi data, strategi pembelajaran, serta implikasinya terhadap pencapaian kompetensi siswa. Hasil kajian menunjukkan bahwa tren penelitian literasi data dalam pendidikan matematika mengarah pada tiga fokus utama, yaitu: (1) pengembangan model pembelajaran berbasis proyek dan teknologi digital, (2) penguatan kemampuan interpretasi data dalam pemecahan masalah matematis, dan (3) integrasi literasi data dengan keterampilan abad 21 lainnya seperti literasi digital dan berpikir komputasional. Kajian ini menegaskan bahwa literasi data merupakan aspek yang esensial dalam pembelajaran matematika modern, serta menawarkan rekomendasi untuk penelitian dan praktik pembelajaran di masa depan.
References
Alman, A. et al. (2023) “Literasi Statistik Dalam Pembelajaran Matematika SD Melalui Kurikulum 2013,” Jurnal Elementaria Edukasia, 6(3), pp. 1454–1466. Available at: https://doi.org/10.31949/jee.v6i3.6351.
Anumol, C.A. (2025) “Integrating Data Science and Data Literacy into K-12 Mathematics Curriculum,” International Scientific Journal of Engineering and Management (ISJEM), 4(10), pp. 10–12. Available at: https://doi.org/10.55041/ISJEM05114.
Burrill, G. (2025) “Integrating The Curriculum : Mathematics , Statistics , Data Literacy , And Data Science,” IASE, 10(6), pp. 1298–1299. Available at: https://doi.org/10.52041/iase24.504.
Echtenbruck, M.M. et al. (2025) “A Data Literacy Competence Model for Higher,” ArXiv, 12(6), pp. 1–15. Available at: https://doi.org/10.48550/arxiv.2504.15690.
Friedrich, A. et al. (2024) “What shapes statistical and data literacy research in K ‑ 12 STEM education ? A systematic review of metrics and instructional strategies,” International Journal of STEM Education [Preprint]. Available at: https://doi.org/10.1186/s40594-024-00517-z.
George-reyes, C.E. and David, L. (2021) “Interweaving Digital Literacy with Computational Thinking,” Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’21), 10(5), pp. 13–17. Available at: https://doi.org/10.1145/3486011.3486412.
Kit, Y. et al. (2023) “Learning data science in elementary school mathematics : a comparative curriculum analysis,” International Journal of STEM Education, 10(8), pp. 1–16. Available at: https://doi.org/10.1186/s40594-023-00397-9.
Mosia, M. and Bhekiswayo, N.M. (2024) “Mapping the Terrain : A Comprehensive Review and Bibliometric Analysis of Data Literacy in Mathematics Education ( 2009-2024 ),” Interdisciplinary Journal of Education Research, 6(2015), pp. 1–14. Available at: https://doi.org/10.38140/ijer-2024.vol6.23.
Pauh, P., Pinang, P. and Alam, S. (2025) “Comparative Analysis Of Digital Literacy And 21st-Century Skills Among University Graduates In Malaysia And Indonesia : The Role Of Collaboration , Critical Thinking , Communication,” Journal of Nusantara Studies, 10(1), pp. 166–191. Available at: https://doi.org/10.24200/jonus.vol10iss1pp166-191 COMPARATIVE.
Pinto, M. et al. (2023) “A strategic approach to information literacy : data literacy . A systematic review,” El Profesional de la información, 32(6), pp. 1–23. Available at: https://doi.org/10.3145/epi.2023.nov.09.
Safitri, R. et al. (2023) “Trends and Network Analysis of Data Literacy in Various Fields : Bibliometric Analysis,” Materials of International Practical Internet Conference “Challenges of Science,” 12(6), pp. 204–212. Available at: https://doi.org/10.31643/2023.24.
Schenck, K.E. and Duschl, R.A. (2026) “Context , language , and technology in data literacy,” Routledge Open Research, 3(5), pp. 1–18. Available at: https://doi.org/10.12688/routledgeopenres.18160.1.
Schreiter, S. et al. (2024) “Teaching for statistical and data literacy in K ‑ 12 STEM education : a systematic review on teacher variables , teacher education , and impacts on classroom practice,” ZDM – Mathematics Education, 56(1), pp. 31–45. Available at: https://doi.org/10.1007/s11858-023-01531-1.
Shofiyah, N. et al. (2025) “Building Scientific Reasoning Using a Data Literacy Module in Higher Education,” International Journal of Research and Community Empowerment, 03(02), pp. 110–124. Available at: https://doi.org/10.58706/ijorce.v3n2.p110-124.
Tsai, Y.C. (2024) “Empowering students through active learning in educational big data analytics,” Smart Learning Environments, pp. 1–21. Available at: https://doi.org/10.1186/s40561-024-00300-1.
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