Assessing Numeracy Skills Among Indonesian Students: A Comparative Study of Gender, Regional Disparities, and Study Habits

Della Amelia, Juwintar Febriani Arwan

Abstract


Numeracy is a critical skill that underpins a wide range of cognitive and practical abilities such as logical reasoning, problem-solving, and the capacity to analyze and interpret data. How students eventually grasp this skill is influenced by a complex interplay of factors that include gender, area of residence, and study habits. Through a comparative study, this research aimed to compare students’ numeracy skills according to certain categories, such as students’ gender, area of living, as well as study habits. A total of 506 randomly selected secondary school students (Female = 285; Male = 221) participated in this study. To collect the data, an online survey was administered to targeted students with a total of 56 questions in the form of structured questionnaire. Through both descriptive and inferential analysis this study revealed that in terms of gender female students outperformed male counterpart with significant statical difference. Moreover, students who live in urban areas had the highest numeracy skills compared to other areas. Lastly, students who set pre-lesson preparation and post-lesson review displayed significantly higher numeracy skill compared to those who are not. Elaboration for each finding further discussed in this paper.

Keywords


Comparative Study, Learning Habits, Numeracy Skills

Full Text:

PDF

References


Burke, P. F., & McDonald, S. (2020). The impact of digital technologies on numeracy achievement in remote areas: A review of recent evidence. Journal of Educational Technology & Society, 23(2), 45-59.

Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2019). Spacing effects in learning: A temporal ridgeline of optimal retention. Psychological Science, 18(11), 1095-1102.

Claessens, A., & Engel, M. (2020). How important is where you start? Early mathematics knowledge and later school success. Education Research International, 2020, 1-10.

Cleary, T. J., & Kitsantas, A. (2017). Motivation and self-regulated learning in the college classroom: A process-oriented approach. Journal of Education and Learning, 6(1), 71-88.

Dent, A. L., & Koenka, A. C. (2020). The relation between self-regulated learning and academic achievement across childhood and adolescence: A meta-analysis. Educational Psychology Review, 32(3), 403-424.

Dignath, C., & Büttner, G. (2020). Components of self-regulated learning among students: A meta-analysis on their relation with academic achievement. Educational Psychology Review, 32(1), 199-239.

Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., & Pagani, L. S. (2017). School readiness and later achievement. Developmental Psychology, 53(1), 16-28.

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2019). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4-58.

Geary, D. C. (2017). An evolutionary perspective on gender differences in mathematics. Developmental Review, 47, 125-149.

Geary, D. C., vanMarle, K., & Hoard, M. K. (2018). Development of number line representations in children with mathematical learning disability. Developmental Neuropsychology, 43(5), 543-565.

Gibbs, B. G., & Jenkins, J. M. (2019). The role of access to resources in explaining rural-urban educational disparities in Canada. Canadian Review of Sociology/Revue canadienne de sociologie, 56(2), 181-204.

Green, B., Wyatt-Smith, C., & Lingard, B. (2021). Community engagement in rural education: Addressing educational disadvantage. Australian Educational Researcher, 48(3), 475-492.

Hattie, J., & Donoghue, G. M. (2016). Learning strategies: A synthesis and conceptual model. Nature Reviews Psychology, 2(7), 536-549.

Johan, R. C., Sutisna, M. R., Rullyana, G., & Ardiansah, A. (2020). Developing online learning communities. In Borderless Education as a Challenge in the 5.0 Society (pp. 145-153). Routledge.

Jordan, N. C., & Levine, S. C. (2018). Socioeconomic variation, number competence, and mathematics learning difficulties in young children. Developmental Disabilities Research Reviews, 14(1), 60-68.

Karpicke, J. D. (2017). Retrieval-Based Learning: A Decade of Progress. Learning and Memory: A Comprehensive Reference, 487-514.

Karpicke, J. D., & Blunt, J. R. (2020). Retrieval practice produces more learning than elaborative studying with concept mapping. Science, 331(6018), 772-775.

Kikas, E., Lerkkanen, M. K., Lyyra, A. L., & Nurmi, J. E. (2018). The role of study habits in educational outcomes. Journal of Educational Psychology, 110(5), 765-781.

Lamb, S., Glover, S., & Walstab, A. (2020). The impact of geographic location on educational outcomes: Evidence from Australia. Australian Journal of Education, 64(1), 5-24.

Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136(6), 1123–1135.

Nunes, T., Bryant, P., & Barros, R. (2018). The relative importance of two different mathematical abilities to mathematical skills in young children. Journal of Educational Psychology, 110(4), 580-593.

Owusu, G., Agyei-Mensah, S., & Lund, R. (2020). Spatial disparities in educational attainment in Ghana. Geojournal, 85(3), 583-601.

Parker, R., Lyons, M., & Tindale, J. (2018). Regional educational disparities and their impact on rural students’ academic performance. Educational Review, 70(3), 307-325.

Peters, E., Hart, P. S., & Fraenkel, L. (2019). Numbers matter to informed patient choices: A randomized design across age and numeracy levels. Medical Decision Making, 39(3), 222-234.

Rodríguez, S., Regueiro, B., Piñeiro, I., Estévez, I., & Valle, A. (2020). Gender Differences in Mathematics Motivation: Differential Effects on Performance in Primary Education. Frontiers in Psychology, 10, 3050.

Roediger, H. L., & Butler, A. C. (2018). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20-27.

Siegler, R. S., & Braithwaite, D. W. (2017). Numerical development. Annual Review of Psychology, 68, 187-213.

Sullivan, P., Johnson, G., & Simons, M. (2018). Enhancing mathematics teaching in remote locations: Lessons from research and practice. Mathematics Education Research Journal, 30(1), 123-145.

Tomporowski, P. D., Davis, C. L., & Ganio, M. S. (2017). Exercise and children's cognition: The role of readiness. Journal of Educational Psychology, 109(1), 1-13.

UNESCO. (2022). Girls' performance in mathematics now equal to boys. Retrieved from https://www.unesco.org/en/articles/girls-performance-mathematics-now-equal-boys-unesco-report

Zimmerman, B. J., & Schunk, D. H. (2021). Self-regulated learning and academic achievement: Theoretical perspectives (3rd ed.). Routledge.




DOI: https://doi.org/10.17509/pdgia.v22i1.73593

Refbacks



INDEXED BY

 width=

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Web
Analytics