Articles | Open Access | DOI: https://doi.org/10.37547/tajssei/Volume06Issue08-14

EFFECT OF SOME CURRICULUM ELEMENTS AND SCHOOL CONTEXT ON MATHEMATICS AND SCIENCE ACADEMIC PERFORMANCE AMONG 15 YEARS OLD STUDENTS

Dr. Manal D. Alkhudaydi , Department of Educational Sciences,Florida Institute of Technology, USA, Melbourne

Abstract

This research examined the effect of some curriculum elements and school context on mathematics and science academic performance among 15 years old students. It specifically aimed to demystify the effect of school type, school size, location, economic, social and cultural status, class size, student-teacher ratio, shortage of educational staff, shortage of educational material on students' achievement in science and mathematics. It analyzed the results of the 2018 PISA-Saudi Arabia. The findings revealed weak and moderate associations between the variables. Much importantly, school shortage of educational staff and school economic, social, and cultural status seems to have significant influence  on mathematics and science academic performance.

Keywords

Curriculum, school, mathematics

References

Adewuyi, H. O., & Gbolade, O. O. (2024). Psychosocial predictors of students’ achievement in Mathematics: A path-analytical study. International Journal of Learning, Teaching and Educational Research, 23(6), 171–188. https://doi.org/10.26803/ijlter.23.6.8

AlAli, R., & Wardat, Y. (2024). Low Pisa performance students: Factors, perceptions, and improvement strategies. International Journal of Religion, 5(9), 334–348. https://doi.org/10.61707/nve8gj33

Alghamdi, A. K. (2017). The effects of an integrated curriculum on student achievement in Saudi Arabia. EURASIA Journal of Mathematics, Science and Technology Education, 13(9), 6079–6100. https://doi.org/10.12973/eurasia.2017.01051a

AlKaabi, N. A., Al-Maadeed, N., Romanowski, M. H., & Sellami, A. (2022). Drawing lessons from Pisa: Qatar’s use of Pisa results. PROSPECTS, 54(1), 221–240. https://doi.org/10.1007/s11125-022-09619-4

Alkhudaydi, M. D. (2023). Factors influencing students’ achievement in Scientific Literacy: A secondary analysis of Pisa 2018 data from Saudi Arabia. Scholarship Repository @ Florida Tech. https://repository.fit.edu/etd/1330

Alyanak, M., & Özkaya, A. (2024). The Effect of Intelligence Games on 5th Grade Students’ Mathematics Attitudes and Academic Achievement. Scientific Educational Studies, 8(1), 20-40. https://doi.org/10.31798/ses.1462049

Arroyo, D., Constante-Amores, A., Gil, P., & Carrillo, P. J. (2024). Student well-being and mathematical literacy performance in PISA 2018: a machine-learning approach. Educational Psychology, 44(3), 340–357. https://doi.org/10.1080/01443410.2024.2359104

Asanre, A., Sondlo, A., & Abiodun, T. (2024). Impact of Interest and Motivation on Academic Achievement of Junior Secondary School Students in Mathematics. Journal of Mathematics Instruction, Social Research and Opinion, 3(3), 275–284. https://doi.org/10.58421/misro.v3i3.269

Aslam, A., Ahamd, S., Siller, H., & Nasreen, A. (2024). Impact of the Understanding by Design Model on the Science Academic Achievement of Fifth Grade Students in Pakistan. Asia-Pacific Science Education, 10(1), 113-153. https://doi.org/10.1163/23641177-bja10078

Bascones, G. Y., Yunzal, Jr., A. N., & Casinillo, L. F. (2024). Exploring contextual factors affecting student performance in mathematics: A sequential explanatory research. Canadian Journal of Family and Youth / Le Journal Canadien de Famille et de La Jeunesse, 16(3), 210–234. https://doi.org/10.29173/cjfy30045

Bidegain, G., & Lukas, J. F. (2020). Exploring the relationship between attitudes toward science and Pisa Scientific Performance. Revista de Psicodidáctica (English Ed.), 25(1), 1–12. https://doi.org/10.1016/j.psicoe.2019.08.002

Ding, H., & Tasara, I. (2024). The perceived impact of Pisa on student learning in schools in a local Chinese context. Educational Assessment, Evaluation and Accountability. https://doi.org/10.1007/s11092-024-09440-x

Furnham, A., & Cheng, H. (2024). The role of parents, teachers, and pupils in IQ test scores: Correlates of the programme for International Student Assessment (PISA) from 74 countries. Personality and Individual Differences, 219, 1-8. https://doi.org/10.1016/j.paid.2023.112513

Gamazo, A., & Martínez-Abad, F. (2020). An exploration of factors linked to academic performance in Pisa 2018 through data mining techniques. Frontiers in Psychology, 11, 1–17. https://doi.org/10.3389/fpsyg.2020.575167

Karakus, M., Courtney, M., & Aydin, H. (2022). Understanding the academic achievement of the first- and second-generation immigrant students: A multi-level analysis of Pisa 2018 Data. Educational Assessment, Evaluation and Accountability, 35(2), 233–278. https://doi.org/10.1007/s11092-022-09395-x

Martins Azinheiro, C. A., Olmos Migueláñez, S., & Torrecilla Sánchez, E. M. (2021). School effectiveness and the PISA tests. Improvement of the development of student’s competences in the Centers of Portugal. Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM’21), 723–727. https://doi.org/10.1145/3486011.3486541

OECD. (2016). PISA 2015 results, excellence and equity in education. Retrieved from https://doi.org/10.1787/9789264266490-en

OECD. (2018a). PISA 2018 Technical Report. Retrieved from https://www.oecd.org/pisa/data/pisa2018technicalreport/

OECD. (2018b). PISA for development assessment and analytical framework: Reading, mathematics and science. Retrieved from PLEASE ADD LINK

OECD. (2018c). Sampling in PISA. Retrieved from https://www.oecd.org/pisa/pisaproducts/SAMPLING-IN-PISA.pdf

OECD. (2019a). PISA 2018 assessment and analytical framework. Retrieved from https://doi.org/10.1787/b25efab8-en

OECD. (2019b). PISA 2018 Results What school life means for students’ lives Volume III. Retrieved from https://www.oecd-ilibrary.org/docserver/acd78851-en.pdf?expires=1590729857&id=id&

accname=guest&checksum=4B69496632D079FC0E08CA57CF03E84E

OECD. (2019c). Programme for International Student Assessment (PISA) results from PISA 2018. Retrieved from http://www.oecd.org/pisa/publications/PISA2018_CN_SAU.pdf

OECD. (2019d). Results from TALIS 2018. Retrieved from https://www.oecd.org/countries/saudiarabia/TALIS2018_CN_

Pamuk, S., Alıcı, D., Aktaş, M., Selvi, H., & Uzun, N. B. (2023). An Investigation of Variables Predicting the Reading Literacy in Pisa 2018. Psycho-Educational Research Reviews, 12(1), 338–349. https://doi.org/10.52963/PERR_Biruni_V12.N1.21

Perera, L. D., & Asadullah, M. N. (2019). Mind the gap: What explains Malaysia’s underperformance in Pisa? International Journal of Educational Development, 65, 254–263. https://doi.org/10.1016/j.ijedudev.2018.08.010

Pitsia, V., Lysaght, Z., O’Leary, M., & Shiel, G. (2022). High Achievement in Mathematics and Science among Students in Ireland: An In-Depth Analysis of International Large-Scale Assessment Data Since 2000. Irish Educational Studies, 43(2), 207–236. https://doi.org/10.1080/03323315.2022.2061563

Pulkkinen, J., & Rautopuro, J. (2022). The correspondence between Pisa performance and school achievement in Finland. International Journal of Educational Research, 114, 102000. https://doi.org/10.1016/j.ijer.2022.102000

Qian, Q., & Lau, K. (2022). The effects of achievement goals and perceived reading instruction on Chinese student reading performance: Evidence from Pisa 2018. Journal of Research in Reading, 45(1), 137–156. https://doi.org/10.1111/1467-9817.12388

Rappleye, J., Komatsu, H., Uchida, Y., Tsai, J., & Markus, H. (2023). The OECD’s ‘Well-being 2030’ agenda: how PISA’s affective turn gets lost in translation. Comparative Education, 60(2), 239–258. https://doi.org/10.1080/03050068.2023.2273640

Rodríguez, S., Valle, A., Gironelli, L. M., Guerrero, E., Regueiro, B., & Estévez, I. (2020). Performance and well‐being of native and immigrant students. Comparative analysis based on Pisa 2018. Journal of Adolescence, 85(1), 96–105. https://doi.org/10.1016/j.adolescence.2020.10.001

Sabitu, K. A., & Khalid, S. (2024). Effects of Computer Animation Instructional Package (CAIP) on Senior Secondary School Students’ Academic Achievement in Geometry in Oyo Metropolis, Oyo State, Nigeria. European Journal of Contemporary Education and E-Learning, 2(1), 150-161. https://doi.org/10.59324/ejceel.2024.2(1).12

Shishigu, A., Michael, K., & Atnafu, M. (2024). Effect of blended learning on mathematical achievement and anxiety: A context-based technology integration for meaningful learning. E-Learning and Digital Media, 0(0). https://doi.org/10.1177/20427530241241767

Wanke, P., Lauro, A., dos Santos Figueiredo, O. H., Faria, J. R., & Mixon, F. G. (2024). The Impact of School Infrastructure and Teachers’ Human Capital on Academic Performance in Brazil. Evaluation Review, 48(4), 636-662. https://doi.org/10.1177/0193841X231197741

Yardim, Y., Cüvi̇toğlu, G., & Aydin, B. (2024). The Intraclass Correlation Coefficient as a Measure of Educational Inequality: An Empirical Study with Data from PISA 2018.PREPRINT (Version 1) available at Research Square. https://doi.org/10.21203/rs.3.rs-4066275/v1

Zheng, J., Cheung, K. & Sit, P. (2022). Insights from Two Decades of PISA-related Studies in the New Century: A Systematic Review. Scandinavian Journal of Educational Research, 68(3), 371–388. https://doi.org/10.1080/0031383

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Dr. Manal D. Alkhudaydi. (2024). EFFECT OF SOME CURRICULUM ELEMENTS AND SCHOOL CONTEXT ON MATHEMATICS AND SCIENCE ACADEMIC PERFORMANCE AMONG 15 YEARS OLD STUDENTS. The American Journal of Social Science and Education Innovations, 6(08), 207–222. https://doi.org/10.37547/tajssei/Volume06Issue08-14