PENGARUH GENDER, KESEMPATAN BELAJAR, DAN PENGGUNAAN INTERNET TERHADAP LITERASI MATEMATIKA
(1) Universitas Negeri Yogyakarta
(2) Universitas Negeri Yogyakarta
(*) Corresponding Author
Abstract
Abstrak
Opportunity to Learn (OTL) atau kesempatan dalam belajar serta penggunaan internet menjadi konstruksi penting dalam lingkungan belajar yang berdampak pada kualitas pembelajaran matematika. Penelitian terkait keduanya telah dilakukan di beberapa negara dan terbukti berkontribusi dalam prestasi literasi matematika. Namun penelitian serupa belum dilakukan di Indonesia. Penelitian ini bertujuan untuk menguji hubungan gender, kesempatan belajar, dan penggunaan internet terhadap prestasi literasi matematika. Dengan menggunakan analisis multilevel pada hasil survei PISA 2012 dan jumlah sampel sebanyak 1473 siswa Indonesia dari 163 sekolah, penelitian ini mengeksplorasi variabel tingkat siswa dan sekolah yang berkontribusi terhadap kemampuan literasi matematika. Hasil analisis statistik menunjukkan bahwa gender dan penggunaan internet berpengaruh terhadap literasi matematika siswa Indonesia, sedangkan OTL bukan merupakan prediktor signifikan. Dimana siswa laki-laki memiliki pencapaian literasi matematika lebih baik dibanding siswa perempuan dan penggunaan internet berpengaruh positif terhadap pembelajar matematika. Sehingga hasil analisis dapat digunakan guru untuk merancang pedagogi, bahkan pengambil kebijakan untuk mengatasi berbagai permasalahan di masa kini maupun masa akan datang.
Abstract
Opportunity to Learn (OTL) and internet school work are important construct in the learning environtment and has an impact on the quality of learning mathematics. These studies have been conducted in several countries and have been proven to contribute to achievement in mathematical literacy. However, similar research has not been conducted in Indonesia. This study examines the relationship between gender, opportunity to learn, and internet school work on mathematical literacy achievement. Using a multilevel analysis of the 2012 PISA’s result, with a total sample of 1473 Indonesian student from 163 schools, this study explores student and school level variables that contribute to mathematical literacy. The statistical analysis result shows that gender and internet school working have an effect on Indonesian students’ mathematical literacy, while OTL is not a significant predictor. Where, male students have better mathematical literacy achievement than female and the internet school work has a positive effect on mathematics learners.So the results can be used by teacher to design pedagogies, and even by policymakers to overcome various problems in the present and in the future.
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Ajello, A. M., Caponera, E., & Palmerio, L. (2018). Italian Students’ Results in the PISA Mathematics Test: Does Reading Competence Matter? European Journal of Psychology of Education, 33(3), 505–520. https://doi.org/10.1007/s10212-018-0385-x
Alagumalai, S., & Buchdahl, N. (2021). PISA 2012: Examining the Influence of Prior Knowledge, Time-on-Task, School-Level Effects on Achievements in Mathematical Literacy Processes – Interpret, Employ and Formulate. Australian Journal of Education, 65(2), 173–194. https://doi.org/10.1177/00049441211031674
Bulut, O., & Cutumisu, M. (2017). When Technology Does Not Add Up: ICT Use Negatively Predicts Mathematics and Science Achievement for Finish and Turkish Student in PISA 2012. EdMedia+ Innovate Learning. Association for the Advacement of Computing in Education (AACE), 935–945.
Fauzi, I., & Chano, J. (2022). Online Learning: How Does It Impact on Students’ Mathematical Literacy in Elementary School? Journal of Education and Learning, 11(4), 220.https://doi.org/10.5539/jel.v11n4p220
Fernández-Gutiérrez, M., Gimenez, G., & Calero, J. (2020). Is the Use of ICT in Education Leading to Higher Student Outcomes? Analysis from the Spanish Autonomous Communities. Computers and Education, 157(June), 1–15. https://doi.org/10.1016/j.compedu.2020.103969
Genc, M., & Erbas, A. K. (2019). Secondary Mathematics Teachers ’ Conceptions of Mathematical Literacy To cite this article : Secondary Mathematics Teachers ’ Conceptions of Mathematical Literacy. International Journal of Education in Mathematics, Science and Technology, 7(3), 222–237.
Ghasemi, E., & Burley, H. (2019). Gender, affect, and math: a cross-national meta-analysis of Trends in International Mathematics and Science Study 2015 outcomes. Large-Scale Assessments in Education, 7(1), 1–25. https://doi.org/10.1186/s40536-019-0078-1
Giofrè, D., Cornoldi, C., Martini, A., & Toffalini, E. (2020). A Population Level Analysis of the Gender Gap in Mathematics: Results on Over 13 Million Children Using the INVALSI Dataset. Intelligence, 81(January), 101467. https://doi.org/10.1016/j.intell.2020.101467
Gómez-Fernández, N., & Mediavilla, M. (2021). Exploring the Relationship Between Information and Communication Technologies (ICT) and Academic Performance: A multilevel Analysis for Spain. Socio-Economic Planning Sciences, 77(xxxx), 101009. https://doi.org/10.1016/j.seps.2021.101009
Hwang, J., & Ham, Y. (2021). Relationship between mathematical literacy and opportunity to learn with different types of mathematical tasks. Journal on Mathematics Education, 12(2), 199–222. https://doi.org/10.22342/JME.12.2.13625.199-222
Kismiantini, Setiawan, E. P., Pierewan, A. C., & Montesinos-López, O. A. (2021). Growth Mindset, School Context, and Mathematics Achievement in Indonesia: A multilevel Model. Journal on Mathematics Education, 12(2), 279–294. https://doi.org/10.22342/jme.12.2.13690.279-294
Kitsantas, A., Cleary, T. J., Whitehead, A., & Cheema, J. (2021). Relations Among Classroom Context, Student Motivation, and Mathematics Literacy: a Social Cognitive Perspective. Metacognition and Learning, 16(2), 255–273. https://doi.org/10.1007/s11409-020-09249-1
Kuznetsova, I. V., Blagoveshchenskaya, E. A., Napalkov, S. V., Smirnov, E. I., Tikhomirov, S. A., & Troshina, T. L. (2021). Web-Technologies in Knowledge Integration as a Means of Mathematical Literacy Forming of School Students. Journal of the Balkan Tribological Association, 27(5), 881–897.
Lara-Porras, A. M., Rueda-García, M. D. M., & Molina-Muñoz, D. (2019). Identifying the factors influencing mathematical literacy in several spanish regions. South African Journal of Education, 39(December), 1–13. https://doi.org/10.15700/saje.v39ns2a1630
Liao, X., & Huang, X. (2018). Who is More Likely to Participate in Private Tutoring and Does it Work?: Evidence from PISA (2015). ECNU Review of Education, 1(3), 69–95. https://doi.org/10.30926/ecnuroe2018010304
Mishra, S., Draus, P., Goreva, N., Leone, G., & Caputo, D. (2014). The Impact of Internet Addiction on University Students and Its Effect on Subsequent Academic Success: a Survey Based Study. Issues In Information Systems, 15(I), 344–352. https://doi.org/10.48009/1_iis_2014_344-352
OECD. (2013). PISA 2012 Assessment and Analytical Framework Mathematics, Reading, Science, Problem Solving and Financial LiteRacy. In OECD Publishing. https://doi.org/10.4324/9781003090366
OECD. (2014). PISA 2012 Results in Focus: What 15-years-olds know and what they can do with what they know. Retrieved from https://www.oecd.org/pisa/keyfindings/pisa-2012-results-overview.pdf
OECD. (2017). PISA 2015 Assessment and Analytical Framework: Science, Reading, Mathematic, Financial Literacy and Collaborative Problem Solving, revised edition. In OECD Publishing.
Pambudi, D. S., Iskarina, A. D., Oktavianingtyas, E., Susanto, S., & Hobri. (2021). Analisis Kemampuan Berpikir Reflektif Siswa SMP dalam Memecahkan Masalah Aritmetika Sosial Berdasarkan Jenis Kelamin. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 10(3), 1926–1940. https://doi.org/https://doi.org/10.24127/ajpm.v10i3.4036
Pérez-Sanagustín, M., Nussbaum, M., Hilliger, I., Alario-Hoyos, C., Heller, R. S., Twining, P., & Tsai, C. C. (2017). Research on ICT in K-12 Schools – A Review of Experimental and Survey-Based Studies in Computers & Education 2011 to 2015. Computers and Education, 104, A1–A15. https://doi.org/10.1016/j.compedu.2016.09.006
Putri, A., Sumardani, D., Rahayu, W., & Hajizah, M. N. (2020). Kemampuan Berpikir Kritis Matematis Menggunakan Model Generative Learning Dan Connecting, Organizing, Reflecting, Extending (Core). AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(1), 108–117.https://doi.org/10.24127/ajpm.v9i1.2617
Putri, A., Sumardani, D., Rahayu, W., Hajizah, M. N., & Rahman, A. (2020). Kemampuan Literasi Matematika Menggunakan BAR Model pada Materi Aljabar. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 9(2), 338–347. https://doi.org/https://doi.org/10.24127/ajpm.v9i2.2744
Reinholz, D., Johnson, E., Andrews-Larson, C., Stone-Johnstone, A., Smith, J., Mullins, B., … Shah, N. (2022). When Active Learning Is Inequitable: Women’s Participation Predicts Gender Inequities in Mathematical Performance. Journal for Research in Mathematics Education, 53(3), 204–226. https://doi.org/10.5951/jresematheduc-2020-0143
Rohaeti, E. E. (2019). Building Students’ Hard and Soft Skills through Innovative Teaching Approaches to Mathematics. Journal of Southwest Jiaotong University, 54(5). https://doi.org/10.35741/issn.0258-2724.54.5.48
Schmidt, W. H., Burroughs, N. A., Zoido, P., & Houang, R. T. (2015). The Role of Schooling in Perpetuating Educational Inequality: An International Perspective. Educational Researcher, 44(7), 371–386. https://doi.org/10.3102/0013189X15603982
Setyaningsih, R., & Munawaroh, L. (2022). Analisis Kemampuan Literasi Matematis Siswa dalam Menyelesaikan Soal Berorientasi PISA Konten Uncertainty and Data. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 11(3), 1656–1667. https://doi.org/https://doi.org/10.24127/ajpm.v11i3.4948
Shahibi, M. S., & Rusli, K. N. K. K. (2017). The Influence of Internet Usage on Student’s Academic Performance. International Journal of Academic Research in Business and Social Sciences, 7(8), 873–887. https://doi.org/10.6007/ijarbss/v7-i8/3301
Skryabin, M., Zhang, J., Liu, L., & Zhang, D. (2015). How the ICT development level and usage influence student achievement in reading, mathematics, and science. Computers and Education, 85, 49–58. https://doi.org/10.1016/j.compedu.2015.02.004
Suryaprani, M. W., Suparta, I. N., & Suharta, I. G. P. (2016). Hubungan Jenis Kelamin, Literasi Matematika, dan Disposisi Matematika Terhadap Prestasi Belajar Matematika Peserta Didik SMA Negeri di Depasar. Prosiding Seminar Nasional MIPA, 39–46.
Thien, L. M. (2016). Malaysian Students’ Performance in Mathematics Literacy in PISA from Gender and Socioeconomic Status Perspectives. Asia-Pacific Education Researcher, 25(4), 657–666. https://doi.org/10.1007/s40299-016-0295-0
Tobin, M., Nugroho, D., & Lietz, P. (2016). Large-scale assessments of students’ learning and education policy: synthesising evidence across world regions. Research Papers in Education, 31(5), 578–594. https://doi.org/10.1080/02671522.2016.1225353
Wasserman, N. H., & McGuffey, W. (2021). Opportunities to Learn From (Advanced) Mathematical Coursework: A Teacher Perspective on Observed Classroom Practice. Journal for Research in Mathematics Education, 52(4), 370–406. https://doi.org/10.5951/jresematheduc.2019-0017
Wijaya, A. (2016). Students’ Information Literacy: A Perspective from Mathematical Literacy. Journal on Mathematics Education, 7(2), 73–82. https://doi.org/10.22342/jme.7.2.3532.73-82
Yang Hansen, K., & Strietholt, R. (2018). Does Schooling Actually Perpetuate Educational Inequality in Mathematics Performance? A Validity Question on the mMeasures of Opportunity to Learn in PISA. ZDM - Mathematics Education, 50(4), 643–658. https://doi.org/10.1007/s11858-018-0935-3
Zhu, Y. (2017). What Matters? Research Trends in International Comparative Studies in Mathematics Education. What Matters? Research Trends in International Comparative Studies in Mathematics Education, 95–114. https://doi.org/10.1007/978-3-319-51187-0
DOI: http://dx.doi.org/10.24127/ajpm.v12i3.7286
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