The analysis of student’s statistical literacy based on prior knowledge and mathematical self esteem

Year 2020, Volume: 1 Issue: 1, 43 - 51, 15.06.2020

Aan Subhan Pamungkas , Etika Khaerunnisa

Abstract

Statistical Literacy is the ability of individuals to formulate, apply and interpret statistics in various contexts. This ability is very important possessed by students as a tool to solve problems when doing research or solve problems related to statistics. The ability of a person's statistical literacy is influenced by several factors such as prior knowledge and mathematical self esteem. So by optimizing these two factors, then the statistical literacy ability of students will develop well Based on these assumptions, this study aims to examine students' statistical literacy in terms of early knowledge and mathematical self esteem in basic statistics courses. Based on the purpose of the research, this research is descriptive quantitative research. Population as well as samples in this study are all students of Science Department of Sultan Ageng Tirtayasa University Academic Year 2018/2019 which amounted to 34 students. Data collection techniques use test of statistical literacy, test of early knowledge and mathematical self esteem scales. Data analysis in this research use descriptive and inferential statistic analysis. Based on the results of data analysis showed that (1) The mean of the prior knowledge of students that is equal to 9.79 (average), consists of a group of 10 students high prior knowledge, 14 students average prior knowledge and 10 students low prior knowledge; (2) the mean of student's mathematical self esteem of 65,38 (average), consist of high mathematical self esteem group as many as 12 students, 14 students average mathematical self esteem and 8 students low mathematical self esteem; (3) the average of statistical literacy ability 58,68 with average category; (4) There is a significant difference of students' statistical literacy in terms of prior knowledge category (high, average, and low); (5) there is a significant difference of students' statistical literacy in terms of student's mathematical self esteem category (high, medium, low).

Keywords

statistical literacy, early knowledge, mathematical self esteem

References

• Baumeister, R. F., Campbell, J. D., Krueger, J. I., & Vohs, K. D. (2003). Does High Self-Esteem Cause Better Performance, Interpersonal Success, Happiness, or Healthier Lifestyles? Psychological Science in the Public Interest: A Journal of the American Psychological Society, 4(1), 1–44. https://doi.org/10.1111/1529-1006.01431 Berne, P. H., & Savary, L. M. (1996). Building self-esteem in children (New expanded ed). Crossroad Pub. Co. Blazar, D., & Kraft, M. A. (2017). Teacher and Teaching Effects on Students’ Attitudes and Behaviors. Educational Evaluation and Policy Analysis, 39(1), 146–170. https://doi.org/10.3102/0162373716670260 Bringula, R. P., Basa, R. S., Cruz, C. D., & Rodrigo, M. M. T. (2015). Effects of Prior Knowledge in Mathematics on Learner-Interface Interactions in a Learning-by-Teaching Intelligent Tutoring System: Journal of Educational Computing Research. https://doi.org/10.1177/0735633115622213 Chong, S., & Cheah, H. (2009). A Values, Skills and Knowledge Framework for Initial Teacher Preparation Programmes. Australian Journal of Teacher Education, 34(3). https://doi.org/10.14221/ajte.2009v34n3.1 Gal, I., & Ginsburg, L. (1994). The Role of Beliefs and Attitudes in Learning Statistics: Towards an Assessment Framework. Journal of Statistics Education, 2(2), 3. https://doi.org/10.1080/10691898.1994.11910471 Garfield, J., & Ben-Zvi, D. (2007). How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics: How Students Learn Statistics Revisited. International Statistical Review, 75(3), 372–396. https://doi.org/10.1111/j.1751-5823.2007.00029.x Guerriero, S., & Guerriero, S. (n.d.). Teachers’ Pedagogical Knowledge and the Teaching Profession. 7. Habrat, A. (2018). The Role of Self-Esteem in Foreign Language Learning and Teaching. Springer. Hailikari, T., Katajavuori, N., & Lindblom-Ylanne, S. (2008). The Relevance of Prior Knowledge in Learning and Instructional Design. American Journal of Pharmaceutical Education, 72(5). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2630138/ Islami, R. E., Sari, I. J., Sjaifuddin, S., Nurtanto, M., Ramli, M., & Siregar, A. (2019). An Assessment of Pre-service Biology Teachers on Student Worksheets Based on Scientific Literacy. Journal of Physics: Conference Series, 1155, 012068. https://doi.org/10.1088/1742-6596/1155/1/012068 Kaplan, J. J., Gabrosek, J. G., Curtiss, P., & Malone, C. (2014). Investigating Student Understanding of Histograms. Journal of Statistics Education, 22(2), 4. https://doi.org/10.1080/10691898.2014.11889701 Kholik, N., & Nainggolan, F. (2017). The Correlatıon Between Students’ Self- Esteem And Theır Wrıtıng Abılıty At The Second Grade Of Sma N 1 Prıngsewu. 10. Lee, C., & Meletiou-Mavrotheris, M. (2003). Some Difficulties of Learning Histograms in Introductory Statistics. 8. Nurtanto, M., Sofyan, H., Fawaid, M., & Rabiman, R. (2019). Problem-Based Learning (PBL) in Industry 4.0: Improving Learning Quality through Character-Based Literacy Learning and Life Career Skill (LL-LCS). Universal Journal of Educational Research, 7(11), 2487–2494. https://doi.org/10.13189/ujer.2019.071128 Pamungkas, A. S., Setiani, Y., & Pujiastuti, H. (2017). Peranan Pengetahuan Awal dan Self Esteem Matematis Terhadap Kemampuan Berpikir Logis Mahasiswa. Kreano, Jurnal Matematika Kreatif-Inovatif, 8(1), 61–68. https://doi.org/10.15294/kreano.v8i1.7866 Rahmatina, D., & Zaid, N. M. (2019). students’ mısconceptıons ın ınterpretıng the mean of the data presented ın a bar graph. International Journal of Insights for Mathematics Teaching (IJOIMT), 2(1), 57–74. Ramirez, C., Schau, C., & Emm, E. (2012). The Importance Of Attıtudes In Statıstıcs Educatıon5. 15. Satriani, I. (2014). Correlatıon Between Students’ Self Esteem And. 2, 6. Schield, M. (1999). Statistical literacy: Thinking critically about statistics. 8. Schleicher, A., Organisation for Economic Co-operation and Development, & Programme for International Student Assessment (Eds.). (1999). Measuring student knowledge and skills: A new framework for assessment. Organisation for Economic Co-operation and Development. Sharma, D. A., Chevidikunnan, M. F., Khan, F. R., & Gaowgzeh, R. A. (2016). Effectiveness of knowledge of result and knowledge of performance in the learning of a skilled motor activity by healthy young adults. Journal of Physical Therapy Science, 28(5), 1482–1486. https://doi.org/10.1589/jpts.28.1482 Thompson, R. A., & Zamboanga, B. L. (2004). Academic Aptitude and Prior Knowledge as Predictors of Student Achievement in Introduction to Psychology. Journal of Educational Psychology, 96(4), 778–784. https://doi.org/10.1037/0022-0663.96.4.778 Wallman, K. K. (1993). Enhancing Statistical Literacy: Enriching Our Society. Journal of the American Statistical Association, 88(421), 1–8. JSTOR. https://doi.org/10.2307/2290686 Yang, J. C., & Quadir, B. (2018). Effects of Prior Knowledge on Learning Performance and Anxiety in an English Learning Online Role-Playing Game. Journal of Educational Technology & Society, 21(3), 174–185. JSTOR. Zuffiano, A., Alessandri, G., Gerbino, M., Kanacri, B. P. L., Di Giunta, L., Milioni, M., & Caprara, G. V. (2013). Academic Achievement: The Unique Contribution of Self-Efficacy Beliefs in Self-Regulated Learning beyond Intelligence, Personality Traits, and Self-Esteem. Learning and Individual Differences, 23, 158–162. https://doi.org/10.1016/j.lindif.2012.07.010