Factor analysis of algebraic thinking skills: A case study on developing area model algebra worksheet based on phet interactive simulation

Giyanti Giyanti, Universitas Serang Raya, Indonesia
Adika Artasari, Universitas Serang Raya, Indonesia
Rina Oktaviyanthi, Universitas Serang Raya, Indonesia
Sharifah Kartini Said Husain, Universiti Putra Malaysia, Malaysia

Abstract


This study aims to identify the latent structures underlying students' algebraic thinking skills using factor analysis. Algebraic thinking is a crucial skill in mathematics education, enabling students to generalize patterns, decompose expressions, and apply mathematical models in real-world contexts. The research analyzes data from 60 students who completed worksheets assessing five indicators of algebraic thinking: X1 (Generalization-Decomposing an expression), X2 (Generalization-Using area model), X3 (Transformational-Representing multiplication problem), X4 (Transformational - Strategies for multi-digit numbers), and X5 (Meta-global level - Using area model in real-world contexts), along with scores on algebraic thinking ability (Y). The data were standardized, and factor analysis was performed using varimax rotation. The analysis revealed two significant factors. The first factor, termed "Generalization and Area Model Application Capability," showed high loadings for X2 (0.701) and X3 (0.724) and explained 31.118% of the variance. The second factor, "Transformational Strategies in Multi-digit Numbers," exhibited strong loadings for X1 (0.923) and X4 (0.631), accounting for 20.543% of the variance. Together, these two factors explain 51.661% of the total variance in students' responses. These findings provide deep insights into the underlying cognitive structures of students' algebraic thinking. The results suggest that educational strategies should focus on improving generalization skills through the use of area models, and strengthening transformational strategies in multi-digit number operations. Such targeted interventions could lead to significant improvements in students' algebraic thinking abilities. Additionally, this study underscores the potential of interactive and dynamic learning environments, such as PhET simulations, to enhance students' conceptual understanding. Future research should explore the practical implementation of these findings in classroom settings and further investigate their impact on students' long-term learning outcomes.

Keywords


Algebraic thinking skills; area model algebra; factor analysis; latent structure; phet-based interactive simulation

References


Agus, R. N., & Oktaviyanthi, R. (2023). Worksheet Graphing Quadratics Berbantuan Phet Simulation Untuk Optimalisasi Mathematical Visual Thinking Mahasiswa. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(2), 2166-2180. http://dx.doi.org/10.24127/ajpm.v12i2.6908

Akram, H., Abdelrady, A. H., Al-Adwan, A. S., & Ramzan, M. (2022). Teachers’ perceptions of technology integration in teaching-learning practices: A systematic review. Frontiers in psychology, 13, 920317. https://doi.org/10.3389/fpsyg.2022.920317

Alam, A., & Mohanty, A. (2024). Unveiling the complexities of ‘Abstract Algebra’ in University Mathematics Education (UME): fostering ‘Conceptualization and Understanding’ through advanced pedagogical approaches. Cogent Education, 11(1), 2355400. https://doi.org/10.1080/2331186X.2024.2355400

Araiza-Alba, P., Keane, T., Chen, W. S., & Kaufman, J. (2021). Immersive virtual reality as a tool to learn problem-solving skills. Computers & Education, 164, 104121. https://doi.org/10.1016/j.compedu.2020.104121

Bianchi, R. (2020). Do burnout and depressive symptoms form a single syndrome? Confirmatory factor analysis and exploratory structural equation modeling bifactor analysis. Journal of psychosomatic research, 131, 109954. https://doi.org/10.1016/j.jpsychores.2020.109954

Campos, N., Nogal, M., Caliz, C., & Juan, A. A. (2020). Simulation-based education involving online and on-campus models in different European universities. International journal of educational technology in higher education, 17, 1-15. https://doi.org/10.1186/s41239-020-0181-y

Chea, S., & Baba, T. (2021). Analysing Students’ Conceptions Underlying the Errors in Algebraic Expressions: A Case Study on Cambodian Ninth Grade Students. Journal of Science and Mathematics Education in Southeast Asia, 44, 22-40. https://myjms.mohe.gov.my/index.php/jsmesea/article/download/12533/8778/

Chinaka, T. W. (2021). The effect of PhET simulation vs. phenomenon-based experiential learning on students’ integration of motion along two independent axes in projectile motion. African Journal of Research in Mathematics, Science and Technology Education, 25(2), 185-196. https://doi.org/10.1080/18117295.2021.1969739

Dröse, J., & Prediger, S. (2023). Prospective Teachers’ Diagnostic Thinking on Students’ Understanding of Multi-Digit Multiplication: A Content-Related Analysis on Unpacking of Knowledge Elements. Journal für Mathematik-Didaktik, 44(1), 1-28. https://doi.org/10.1007/s13138-022-00214-w

Durkin, K., Rittle-Johnson, B., Star, J. R., & Loehr, A. (2023). Comparing and discussing multiple strategies: An approach to improving algebra instruction. The Journal of Experimental Education, 91(1), 1-19. https://doi.org/10.1080/00220973.2021.1903377

Ellis, A. B., Lockwood, E., Tillema, E., & Moore, K. (2022). Generalization across multiple mathematical domains: Relating, forming, and extending. Cognition and Instruction, 40(3), 351-384. https://doi.org/10.1080/07370008.2021.2000989

Engelbrecht, J., & Borba, M. C. (2024). Recent developments in using digital technology in mathematics education. ZDM–Mathematics Education, 56(2), 281-292. https://doi.org/10.1007/s11858-023-01530-2

Findell, B., Swafford, J., & Kilpatrick, J. (Eds.). (2001). Adding it up: Helping children learn mathematics. National Academies Press.

Goldin, G. A. (2020). Mathematical representations. Encyclopedia of mathematics education, 566-572. https://doi.org/10.1007/978-94-007-4978-8_103

Hawes, Z. C., Gilligan-Lee, K. A., & Mix, K. S. (2022). Effects of spatial training on mathematics performance: A meta-analysis. Developmental Psychology, 58(1), 112. https://doi.org/10.1037/dev0001281

Hemmati, R., Zarrinabadi, N., & Ebrahimi, H. (2024). “I can’t bear sitting in this class”: exploring Iranian undergraduate female student experiences of their college classrooms. Learning Environments Research, 1-25. https://doi.org/0.1007/s10984-024-09510-3

Huang, Y. M., Silitonga, L. M., & Wu, T. T. (2022). Applying a business simulation game in a flipped classroom to enhance engagement, learning achievement, and higher-order thinking skills. Computers & Education, 183, 104494. https://doi.org/10.1016/j.compedu.2022.104494

Huincahue, J., Borromeo-Ferri, R., Reyes-Santander, P., & Garrido-Véliz, V. (2021). Mathematical thinking styles—the advantage of analytic thinkers when learning mathematics. Education Sciences, 11(6), 289. https://doi.org/10.3390/educsci11060289

Kieran, C. (2022). The multi-dimensionality of early algebraic thinking: background, overarching dimensions, and new directions. ZDM–Mathematics Education, 54(6), 1131-1150. https://doi.org/10.1007/s11858-022-01435-6

Krawitz, J., Chang, Y. P., Yang, K. L., & Schukajlow, S. (2022). The role of reading comprehension in mathematical modelling: improving the construction of a real-world model and interest in Germany and Taiwan. Educational Studies in Mathematics, 109(2), 337-359. https://doi.org/10.1007/s10649-021-10058-9

Lischka, A. E., & Stephens, D. C. (2020). The area model: Building mathematical connections. Mathematics Teacher: Learning and Teaching PK-12, 113(3), 186-195. https://doi.org/10.5951/MTLT.2019.0115

Llorella, F., Cebrián, J. A., Corbi, A., & Pérez, A. M. (2024). Fostering scientific methods in simulations through symbolic regressions. Physics Education, 59(4), 045010. https://doi.org/10.1088/1361-6552/ad3cad

Mathaba, P. N., Bayaga, A., Tîrnovan, D., & Bossé, M. J. (2024). Error Analysis in Algebra Learning: Exploring Misconceptions and Cognitive Levels. Journal on Mathematics Education, 15(2), 575-592. https://doi.org/10.22342/jme.v15i2.pp575-592

Morin, A. J., Myers, N. D., & Lee, S. (2020). Modern factor analytic techniques: Bifactor models, exploratory structural equation modeling (ESEM), and bifactor‐ESEM. Handbook of sport psychology, 1044-1073. https://doi.org/10.1002/9781119568124.ch51

Newton, K. J., Barbieri, C. A., & Booth, J. L. (2020). Key mathematical competencies from arithmetic to algebra. In Oxford Research Encyclopedia of Education. https://doi.org/10.1093/acrefore/9780190264093.013.956

Oktaviyanthi, R., & Agus, R. N. (2023). Evaluating graphing quadratic worksheet on visual thinking classification: A confirmatory analysis. Infinity Journal, 12(2), 207-224. https://doi.org/10.22460/infinity.v12i2.p207-224

Oktaviyanthi, R., & Sholahudin, U. (2023). Phet Assisted Trigonometric Worksheet for Students’ Trigonometric Adaptive Thinking. Mosharafa: Jurnal Pendidikan Matematika, 12(2), 229-242. https://doi.org/10.31980/mosharafa.v12i2.779

Ortiz-Laso, Z., & Diego-Mantecón, J. M. (2020). Strategies of Pre-Service Early Childhood Teachers for Solving Multi-Digit Division Problems. Sustainability, 12(23), 10217. https://doi.org/10.3390/su122310217

Osei, W., & Agyei, D. D. (2024). Analyses of algebra knowledge and difficulties among Ghanaian Junior High School learners: Insights from standard-based mathematics curriculum implementation. Social Sciences & Humanities Open, 10, 101019. https://doi.org/10.1016/j.ssaho.2024.101019

Perkins, K. (2020). Transforming STEM learning at scale: PhET interactive simulations. Childhood Education, 96(4), 42-49. https://doi.org/10.1080/00094056.2020.1796451

Pitta-Pantazi, D., Chimoni, M., & Christou, C. (2020). Different types of algebraic thinking: an empirical study focusing on middle school students. International Journal of Science and Mathematics Education, 18, 965-984. https://doi.org/10.1007/s10763-019-10003-6

Rogers, P. (2022). Best practices for your exploratory factor analysis: A factor tutorial. Revista de Administração Contemporânea, 26(06), e210085. https://doi.org/10.1590/1982-7849rac2022210085.en

Sibgatullin, I. R., Korzhuev, A. V., Khairullina, E. R., Sadykova, A. R., Baturina, R. V., & Chauzova, V. (2022). A Systematic Review on Algebraic Thinking in Education. Eurasia Journal of Mathematics, Science and Technology Education, 18(1). https://doi.org/10.29333/ejmste/11486

Spiller, J., Clayton, S., Cragg, L., Johnson, S., Simms, V., & Gilmore, C. (2023). Higher level domain specific skills in mathematics; The relationship between algebra, geometry, executive function skills and mathematics achievement. Plos one, 18(11), e0291796. https://doi.org/10.1371/journal.pone.0291796

Suherman, S., & Vidákovich, T. (2022). Assessment of mathematical creative thinking: A systematic review. Thinking Skills and Creativity, 44, 101019. https://doi.org/10.1016/j.tsc.2022.101019

Sürücü, L., Yıkılmaz, İ., & Maşlakçı, A. (2022). Exploratory factor analysis (EFA) in quantitative researches and practical considerations. Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi, 13(2), 947-965. https://doi.org/10.31219/osf.io/fgd4e

Steenkamp, J. B. E., & Maydeu-Olivares, A. (2023). Unrestricted factor analysis: A powerful alternative to confirmatory factor analysis. Journal of the Academy of Marketing Science, 51(1), 86-113. https://doi.org/10.1007/s11747-022-00888-1

Thompson, P. W., & Harel, G. (2021). Ideas foundational to calculus learning and their links to students’ difficulties. ZDM–Mathematics Education, 53(3), 507-519. https://doi.org/10.1007/s11858-021-01270-1

Turşucu, S., Spandaw, J., & de Vries, M. J. (2020). Search for symbol sense behavior: students in upper secondary education solving algebraic physics problems. Research in Science Education, 50(5), 2131-2157. https://doi.org/10.1007/s11165-018-9766-z

Ünal, Z. E., Ala, A. M., Kartal, G., Özel, S., & Geary, D. C. (2023). Visual and symbolic representations as components of algebraic reasoning. Journal of Numerical Cognition, 9(2), 327-345. https://doi.org/10.5964/jnc.11151

Ureña, J., Ramírez, R., Molina, M., & Cañadas, M. C. (2024). Generalization: strategies and representations used by sixth to eighth graders in a functional context. Mathematics Education Research Journal, 36(3), 519-545. https://doi.org/10.1007/s13394-023-00458-w

Uyen, B. P., Tong, D. H., & Tram, N. T. B. (2021). Developing Mathematical Communication Skills for Students in Grade 8 in Teaching Congruent Triangle Topics. European Journal of Educational Research, 10(3), 1287-1302. https://doi.org/10.12973/eu-jer.10.3.1287

Villa-Ochoa, J. A., & Suárez-Téllez, L. (2021). Computer algebra systems and dynamic geometry for mathematical thinking. In Handbook of cognitive mathematics (pp. 1-27). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-44982-7_36-1

West, H. M. (2021). Using Growth Patterns to Simultaneously Promote Elementary Students' Multiplicative Reasoning and Early Algebraic Thinking: an Examination of Children's Thinking, Teachers' Perspectives, and Curriculum. North Carolina State University. https://repository.lib.ncsu.edu/items/e92fa7ed-5b64-43e3-aa58-cdf733a8805a

Whitacre, I., & Rumsey, C. (2020). The roles of tools and models in a prospective elementary teachers’ developing understanding of multidigit multiplication. The Journal of Mathematical Behavior, 60, 100816. https://doi.org/10.1016/j.jmathb.2020.100816

Zhdanov, S. P., Sadrieva, L. M., Astakhov, I. A., Sokolova, N. L., Grishnova, E. E., & Tararina, L. I. (2023). Psychometric properties of information and communication technology competencies scale: Latent profile analysis. Online Journal of Communication and Media Technologies, 13(4), e202345. https://doi.org/10.30935/ojcmt/13479

Ziatdinov, R., & Valles Jr, J. R. (2022). Synthesis of modeling, visualization, and programming in GeoGebra as an effective approach for teaching and learning STEM topics. Mathematics, 10(3), 398. https://doi.org/10.3390/math10030398




DOI: https://doi.org/10.21831/jitp.v11i4.79362

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