Keywords
Evidence-based strategies
Share and model concepts
Nurturing metacognition
Quasi-experimental
Submitted : 2023-12-21
Accepted : 2024-01-05
Published : 2024-01-20
Abstract
Statistical literacy is crucial for cultivating well-rounded thinkers. The integration of evidence-based strategies in teaching and learning is pivotal for enhancing students’ statistical literacy. This research specifically focuses on the utilization of Share and Model Concepts and Nurturing Metacognition as evidence-based strategies aimed at improving the statistical literacy of learners. The study employed a quasi-experimental design, specifically the nonequivalent control group, wherein students answered pre-test and post-test instruments and researcher-made questionnaires. The study included 50 first-year Bachelor in Secondary Education majors in Mathematics and Science for the academic year 2023–2024. The results of the study revealed a significant difference in the scores of student respondents, indicating that the use of evidence-based strategies helped students enhance their statistical literacy. This signifies a noteworthy increase in their performance, ranging from very low to very high proficiency in understanding statistical concepts, insights into the application of statistical concepts, numeracy, graph skills, interpretation capabilities, and visualization and communication skills. Furthermore, the study showed a significant difference in the post-test scores’ performance of the two groups in understanding statistical concepts and visualization and communication skills. However, no significant difference was found in the post-test scores of the two groups concerning insights into the application of statistical concepts, numeracy and graph skills, and interpretation capabilities. Additionally, students acknowledged that the implementation of evidencebased strategies significantly contributed to the improvement of their statistical literacy.
References
Aziz AM, Rosli R, 2021, A Systematic Literature Review on Developing Students’ Statistical Literacy Skills. Journal of Physics: Conference Series, 1806: 012102. https://doi.org/10.1088/1742-6596/1806/1/012102
Callingham R, Watson JM, 2017, The Development of Statistical Literacy at School. Statistics Education Research Journal, 16(1): 181–201. https://doi.org/10.52041/serj.v16i1.223
Ferligoj A, 2015, How to Improve Statistical Literacy? Advances in Methodology and Statistics, 12(1): 1–10. https://doi.org/10.51936/xcxb9472
Watson J, 2014, Proceedings of the Ninth International Conference on Teaching Statistics (ICOT9), July 13–18, 2014: Curriculum Expectations for Teaching Science and Statistics. International Statistical Institute, Flagstaff, AZ.
Tiro MA, 2018, National Movement for Statistical Literacy in Indonesia: An Idea. Journal of Physics: Conference Series, 1028: 012216. https://doi.org/10.1088/1742-6596/1028/1/012216
Garcia MTT, Dela Rosa MTP, 2021, Implementation of the Junior High School Mathematics Curriculum. Asia Pacific Journal on Curriculum Studies, 4(1): 25–48. https://doi.org/10.53420/apjcs.2021.3
Pamungkas AS, Setiani Y, Pujiastuti H, 2017, Peranan Pengetahuan Awal dan Self Esteem Matematis Terhadap Kemampuan Berpikir Logis Mahasiswa [The Role of Prior Knowledge and Mathemetical Self-Esteem on Students’ Logical Thinking Ability]. Kreano, 8(1): 61–68. https://doi.org/10.15294/kreano.v8i1.7866
Pamungkas AS, Khaerunnisa E, 2020, The Analysis of Student’s Statistical Literacy Based on Prior Knowledge and Mathematical Self Esteem. Journal for the Mathematics Education and Teaching Practices, 1(1): 43–51.
Habrat A, 2018, The Role of Self-Esteem in Foreign Language Learning and Teaching. Springer International Publishing, New York. https://doi.org/10.1007/978-3-319-75283-9
Özmen ZM, Baki A, 2021, Statistics Instructors’ Perceptions of Statistics Literacy in Different Undergraduate Programs. International Journal of Research in Education and Science, 7(3): 852–871. https://doi.org/10.46328/ijres.1817
Sharma S, 2017, Definitions and Models of Statistical Literacy: A Literature Review. Open Review of Educational Research, 4(1): 118–133. https://doi.org/10.1080/23265507.2017.1354313
Setiawan EP, Sukoco H, 2021, Exploring First Year University Students’ Statistical Literacy: A Case on Describing and Visualizing Data. Journal on Mathematics Education, 12(3): 427–448.
Takaria J, Talakua M, 2018, The Ability of Statistical Literacy Student Teacher Candidate in Terms of Prior-Ability on Mathematics. Jurnal Kependidikan: Penelitian Inovasi Pembelajaran, 2(2): 395–408. https://doi.org/10.21831/jk.v2i2.18768
Lopez-Pedersen A, Mononen R, Aunio P, et al., 2022, Improving Numeracy Skills in First Graders with Low Performance in Early Numeracy: A Randomized Controlled Trial. Remedial and Special Education, 44(2): 126–136. https://doi.org/10.1177/07419325221102537
Chung KKH, 2015, Socioeconomic Status and Academic Achievement. In International Encyclopedia of the Social & Behavioral Sciences, 2nd Edition. Elsevier Inc., Amsterdam, 924–930. https://doi.org/10.1016/B978-0-08-097086-8.92141-X
Aguhayon HG, Tingson RD, Pentang JT, 2023, Addressing Students Learning Gaps in Mathematics through Differentiated Instruction. International Journal of Educational Management and Development Studies, 4(1): 69–87. https://doi.org/10.53378/352967
Artuz JKA, Roble DB, 2021, Developing Students’ Critical Thinking Skills in Mathematics Using Online-Process Oriented Guided Inquiry Learning (O-POGIL). American Journal of Educational Research, 9(7): 404–409. https://doi.org/10.12691/education-9-7-2
Insorio AO, 2020, Numeracy Enhancement Tool (NET): Offline Mobile Game Application for Mathematics Classes. International Journal of Educational Studies in Mathematics, 7(2): 120–134.
Manalaysay JA, 2021, Continuous Drill in Mathematics: A Spark for Mastery of Fundamental Operations. International Journal of Academic Pedagogical Research, 5(3): 138–142.
Layug GD, Velario JPV, Capones JG, 2021, Proceedings of the 4th International Conference on Advanced Research in Teaching and Education, August 6–8, 2021: Teachers’ Interventions in Improving Numeracy Skills of Grade 7 Students in Baguio City National High School. ICATE Organizing Committee, Budapest, 14–22.
Price-Mitchell M, 2015, Metacognition: Nurturing Self-Awareness in the Classroom, viewed September 3, 2023. https://www.edutopia.org/blog/8-pathways-metacognition-in-classroom-marilyn-price-mitchell
The IRIS Center Vanderbilt University, 2023, What is High-Quality Mathematics Instruction and Why is It Important? Page 3: Evidence-Based Mathematics Practices. In High-Quality Mathematics Instruction: What Teachers Should Know, viewed September 3, 2023. https://iris.peabody.vanderbilt.edu/module/math/cresource/q1/p03/
Railean E, Elçi A, Elçi A, 2017, Metacognition and Successful Learning Strategies in Higher Education. IGI Global, Hershey, PA. https://doi.org/10.4018/978-1-5225-2218-8
White H, Sabarwal S, 2014, Quasi-Experimental Design and Methods. In Methodological Briefs: Impact Evaluation 8. UNICEF Office of Research, Florence.
Clark KR, 2015, The Effects of the Flipped Model of Instruction on Student Engagement and Performance in the Secondary Mathematics Classroom. Journal of Educators Online, 12(1): 91–115. https://doi.org/10.9743/JEO.2015.1.5
Hoerl RW, Snee RD, 2020, Statistical Thinking: Improving Business Performance, 3rd Edition. John Wiley & Sons, Inc. Hoboken, NJ.
Shamim S, Zeng J, Shariq SM, et al., 2019, Role of Big Data Management in Enhancing Big Data Decision-Making Capability and Quality among Chinese Firms: A Dynamic Capabilities View. Information & Management, 56(6): 103135. https://doi.org/10.1016/j.im.2018.12.003