Research article

Mapping algebraic and geometric thinking with the van Hiele model among college students in STEM programs


  • Published: 02 July 2026
  • Mathematical proficiency, grounded in the integration of disciplinary knowledge and fundamental mathematical cognitive skills, is essential for achieving the intended learning outcomes of STEM programs. Despite this curricular emphasis, persistent weaknesses in students' mathematical ability continue to be widely documented. To provide insights on this underperformance, this descriptive–associational study investigated the algebraic and geometric thinking within the van Hiele hierarchy among 167 college students enrolled in STEM programs in a Philippine state university. Data were gathered using the van Hiele geometry test and a researcher-developed algebraic thinking assessment to examine development across three strands of algebraic thinking—generalized arithmetic, functional thinking, and modeling language—within van Hiele hierarchy and analyze variations of algebraic and geometric thinking across programs. Most students remained at van Hiele's visualization and analysis stages and at the transition stage between generalized arithmetic and functional thinking, underscoring a limited progression toward advanced mathematical reasoning. Teacher education students demonstrated stronger geometric and algebraic performance than engineering and computer science students, reflecting differences in disciplinary learning trajectories. The significant and systematic associations between algebraic and geometric thinking confirm the cognitive connections between the two domains, implying that students in higher van Hiele levels are better positioned to achieve higher levels of proficiency in complex algebraic thinking strands. The study recommends an in-depth study on instructional approaches that simultaneously cultivate geometric and algebraic thinking through conceptually rich, developmental, and discipline-aligned learning tasks.

    Citation: Judel V. Protacio. Mapping algebraic and geometric thinking with the van Hiele model among college students in STEM programs[J]. STEM Education, 2026, 6(4): 632-658. doi: 10.3934/steme.2026026

    Related Papers:

  • Mathematical proficiency, grounded in the integration of disciplinary knowledge and fundamental mathematical cognitive skills, is essential for achieving the intended learning outcomes of STEM programs. Despite this curricular emphasis, persistent weaknesses in students' mathematical ability continue to be widely documented. To provide insights on this underperformance, this descriptive–associational study investigated the algebraic and geometric thinking within the van Hiele hierarchy among 167 college students enrolled in STEM programs in a Philippine state university. Data were gathered using the van Hiele geometry test and a researcher-developed algebraic thinking assessment to examine development across three strands of algebraic thinking—generalized arithmetic, functional thinking, and modeling language—within van Hiele hierarchy and analyze variations of algebraic and geometric thinking across programs. Most students remained at van Hiele's visualization and analysis stages and at the transition stage between generalized arithmetic and functional thinking, underscoring a limited progression toward advanced mathematical reasoning. Teacher education students demonstrated stronger geometric and algebraic performance than engineering and computer science students, reflecting differences in disciplinary learning trajectories. The significant and systematic associations between algebraic and geometric thinking confirm the cognitive connections between the two domains, implying that students in higher van Hiele levels are better positioned to achieve higher levels of proficiency in complex algebraic thinking strands. The study recommends an in-depth study on instructional approaches that simultaneously cultivate geometric and algebraic thinking through conceptually rich, developmental, and discipline-aligned learning tasks.



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    [1] OECD, PISA 2018 results (Volume I): What students know and can do. 2019, PISA, OECD Publishing. https://doi.org/10.1787/5f07c754-en
    [2] Sipos, B. and Szilágyi, B., Interconnectedness of geometric, linguistic, and algebraic thinking in student performance measures: An association rules approach. In Proceedings of the 51st Annual Conference of the European Society for Engineering Education (SEFI 2023) 2023, European Society for Engineering Education. https://doi.org/10.21427/4HPP-HQ07
    [3] Jablonski, S. and Ludwig, M., Teaching and learning of geometry: A literature review on current developments in theory and practice. Education Sciences, 2023, 13(7). https://doi.org/10.3390/educsci13070682 doi: 10.3390/educsci13070682
    [4] Mullis, I.V.S., Martin, M.O., Foy, P. and Hooper, M. (eds.), TIMSS 2019 international results in mathematics and science, 2020, TIMSS & PIRLS International Study Center, Lynch School of Education, Boston College.
    [5] Gaita, R.C., Wilhelmi, M., Ugarte, F. and Gonzales, C., Mathematical processes for the development of algebraic reasoning in geometrical situations with in-service secondary school teachers. EURASIA Journal of Mathematics, Science and Technology Education, 2024, 20(12). https://doi.org/10.29333/ejmste/15709 doi: 10.29333/ejmste/15709
    [6] Ramírez-Uclés, R. and Ruiz-Hidalgo, J.F., Reasoning, representing, and generalizing in geometric proof problems among 8th grade talented students. Mathematics, 2022, 10(5): 789. https://doi.org/10.3390/math10050789 doi: 10.3390/math10050789
    [7] Sun, S., Sun, D. and Xu, T., The developmental progression of early algebraic thinking of elementary school students. Journal of Intelligence, 2023, 11(12): 222. https://doi.org/10.3390/jintelligence11120222 doi: 10.3390/jintelligence11120222
    [8] Martins, R., Viseu, F. and Rocha, H., Functional thinking: A study with 10th-grade students. Education Sciences, 2023, 13(4). https://doi.org/10.3390/educsci13040335 doi: 10.3390/educsci13040335
    [9] Utami, N.S., Prabawanto, S. and Suryadi, D., How students generate patterns in learning algebra? A focus on functional thinking in secondary school students. European Journal of Educational Research, 2023, 12(2): 913–925. https://doi.org/10.12973/eu-jer.12.2.913 doi: 10.12973/eu-jer.12.2.913
    [10] Alsina, Á. and Salgado, M., Understanding early mathematical modelling: First steps in the process of translation between real world contexts and mathematics. International Journal of Science and Mathematics Education, 2022, 20(3): 1719‒1742. https://doi.org/10.1007/s10763-021-10232-8 doi: 10.1007/s10763-021-10232-8
    [11] Castro, E., Cañadas, M., Molina, M. and Rodriguez-Domingo, S., Difficulties in semantically congruent translation of verbally and symbolically repeated algebraic statement. Educational Studies in Mathematics, 2022,109: 593–609. https://doi.org/10.1007/s10649-021-10088-3 doi: 10.1007/s10649-021-10088-3
    [12] Tasarib, A., Rosli, R. and Rambely, A.S., Impacts and challenges of mathematical modelling activities on students' learning development: A systematic literature review. European Journal of Mathematics, Science and Technology Education, 2025, 21(5). https://doi.org/10.29333/ejmste/16398 doi: 10.29333/ejmste/16398
    [13] Armah, R.B., Geometric thinking of prospective mathematics teachers: assessing the foundation built by university undergraduate education in Ghana. Teacher Education and Curriculum Studies, 2024, 9(2): 40–51. https://doi.org/10.11648/j.tecs.20240902.12 doi: 10.11648/j.tecs.20240902.12
    [14] Sert Çelik, H. and Yılmaz, G.K., Analysis of Van Hiele geometric thinking levels studies in Turkey: A meta-synthesis study. International Journal of Curriculum and Instruction, 2022, 14(1): 473–501.
    [15] Bone, E., Bouck, E. and Witmer, S., Evidence-based systematic review of literature on algebra instruction and interventions for students with learning disabilities. Learning Disabilities, 2021, 19(1): 1–22. Available from: https://files.eric.ed.gov/fulltext/EJ1295341.pdf
    [16] Ralston, N.C., Li, M. and Taylor, C., The development and initial validation of an assessment of algebraic thinking for students in the elementary grades. Educational Assessment, 2018, 23(3): 211–227. https://doi.org/10.1080/10627197.2018.1483191 doi: 10.1080/10627197.2018.1483191
    [17] Kaput, J.J., Carraher, D. and Blanton, M., Algebra in the early grades, 2017: Routledge. https://doi.org/10.4324/9781315097435
    [18] Sibgatullin, I.R., Korzhuev, A.V., Khairullina, E.R., Sadykova, A.R., Baturina, R.V. and Chauzova, V., A systematic review on algebraic thinking in education. EURASIA Journal of Mathematics, Science and Technology Education, 2022, 18(1). https://doi.org/10.29333/ejmste/11486 doi: 10.29333/ejmste/11486
    [19] Blanton, M., Stephens, A., Knuth, E., Gardiner, A., Isler, I. and Kim, J.S., The development of children's algebraic thinking: The impact of a comprehensive early algebra intervention in third grade. Journal for Research in Mathematics Education, 2015, 46(1): 39–87. https://doi.org/10.5951/jresematheduc.46.1.0039 doi: 10.5951/jresematheduc.46.1.0039
    [20] Smith, E., Representational thinking as a framework for introducing functions in the elementary curriculum. In Algebra in the Early Grades, C.J.J. Kaput, D.W., Blanton, M.L., Editor. 2008, Lawrence Erlbaum Associates, NY.
    [21] Dagienė, V. and Stupurienė, G., Informatics concepts and computational thinking in K-12 education: A Lithuanian perspective. Journal of Information Processing, 2016, 24: 732–739. https://doi.org/10.2197/ipsjjip.24.732 doi: 10.2197/ipsjjip.24.732
    [22] Walkington, C., Clinton, V. and Sparks, A., The effect of language modification of mathematics story problems on problem-solving in online homework. Instructional Science, 2019, 47(5): 499–529. https://doi.org/10.1007/s11251-019-09481-6 doi: 10.1007/s11251-019-09481-6
    [23] Stephens, A., Knuth, E., Blanton, M., Isler, I., Gardiner, A. and Marum, T., Equation structure and the meaning of the equal sign: The impact of task selection in eliciting elementary students' understandings. The Journal of Mathematical Behavior, 2013, 32(2): 173–182. https://doi.org/10.1016/j.jmathb.2013.02.001 doi: 10.1016/j.jmathb.2013.02.001
    [24] Kindrat, A.N. and Osana, H.P., The relationship between mental computation and relational thinking in the seventh grade. Fields Mathematics Education Journal, 2018, 3. https://doi.org/10.1186/s40928-018-0011-4 doi: 10.1186/s40928-018-0011-4
    [25] Junarti, Zainudin, M. and Utami, A.D., The sequence of algebraic problem-solving paths: Evidence from structure sense of Indonesian student. Journal on Mathematics Education, 2022, 13(3): 437–464. http://doi.org/10.22342/jme.v13i3.pp437-464 doi: 10.22342/jme.v13i3.pp437-464
    [26] Jamil, N., Rosli, R., Bin Mamud, M. and Hasim, S., Transformative teaching strategies for algebraic thinking: A systematic review of cognitive, pedagogical, and curricular advances. EURASIA Journal of Mathematics, Science and Technology Education, 2025, 21(10). https://doi.org/10.29333/ejmste/17250 doi: 10.29333/ejmste/17250
    [27] Peng, P., Wang, T., Wang, C. and Lin, X., A meta-analysis on the relation between fluid intelligence and reading/mathematics: Effects of tasks, age, and social economics status. Psychological Bulletin, 2019,145: 189–236. https://doi.org/10.1037/bul0000182 doi: 10.1037/bul0000182
    [28] Vandenbroucke, L., Spilt, J., Verschueren, K., Piccinin, C. and Baeyens, D., The classroom as adevelopmental context for cognitive development: A meta-analysis on the importance of teacher–student interactions for children's executive functions. Review of Educational Research, 2018, 88: 125–164. https://doi.org/10.3102/0034654317743200 doi: 10.3102/0034654317743200
    [29] Ralston, N.C., The development and initial validation of a diagnostic assessment of algebraic thinking skills for students in the elementary grades, PhD Dissertation, University of Washington, 2013.
    [30] Chang, K., Sung, Y. and Lin, S., Developing geometry thinking through multimedia learning activities. Computers in Human Behavior, 2007, 23(5): 2212‒2229. https://doi.org/10.1016/j.chb.2006.03.007 doi: 10.1016/j.chb.2006.03.007
    [31] Almubarak, M., Maat, S. and Mahmud, M., Evolving three decades of geometry learning strategies: A combination of bibliometric analysis and systematic review. Eurasia Journal of Mathematics, Science and Technology Education, 2025, 21(6): 1–15. https://doi.org/10.29333/ejmste/16515 doi: 10.29333/ejmste/16515
    [32] Senk, S.L., Thompson, D.R., Chen, Y.H., Voogt, K. and Usiskin, Z., The van Hiele geometry test: History, use, and suggestions for revisions, University of Chicago School Mathematics Project, 2022.
    [33] van Hiele, P.M., Structure and insight: A theory of mathematics education, 1986, Orlando, FL: Academic Press.
    [34] Clements, D.H. and Battista, M.T., Geometry and spatial reasoning. In Handbook of research on mathematics teaching and learning: A project of the National Council of Teachers of Mathematics, D.A. Grouws, Editor, 1992,420–464.
    [35] Waluya, S.B., Sukestiyarno, Y.L. and Kharisudin, I., A systematic review on geometric thinking: A review research between 2017-2021. European Journal of Educational Research, 2022, 11(3): 1535–1552. https://doi.org/10.12973/eu-jer.11.3.1535 doi: 10.12973/eu-jer.11.3.1535
    [36] Crowley, M.L., The van Hiele model of the development of geometric thought. In Learning and teaching geometry, K-12 (Yearbook of the National Council of Teachers of Mathematics), M.M. Lindquist, Editor, 1987, 1–16.
    [37] Usiskin, Z., Van Hiele levels and achievement in secondary school geometry (Final Report), Department of Education, University of Chicago, 1982.
    [38] Hoffer, A., Geometry is more than proof. Mathematics Teaching, 1981, 74(1): 11‒18.
    [39] Mensah, N., Barton Odro, E. and Williams, D.A., Examination of 9th graders' levels of geometric thinking. International Journal of Research in Education and Science (IJRES), 2023, 9(3): 688–703.
    [40] Alex, J. and Mammem, K., Lessons learnt from employing van Hiele theory based instruction in senior secondary school geometry classrooms. EURASIA Journal of Mathematics, Science & Technology Education, 2015, 12(8): 2223‒2236. https://doi.org/10.12973/eurasia.2016.1228a doi: 10.12973/eurasia.2016.1228a
    [41] Yi, M., Flores, R. and Wang, J., Examining the influence of van Hiele theory-based instructional activities on elementary preservice teachers' geometry knowledge for teaching 2-D shapes. Teaching and Teacher Education, 2020, 91: 103038. https://doi.org/10.1016/j.tate.2020.103038 doi: 10.1016/j.tate.2020.103038
    [42] Hohol, M., Foundation of geometric cognition, 2020. Routledge. https://doi.org/10.4324/9780429056291
    [43] Naufal, M., Abdullah, A., Osman, S., Abu, M., Ihsan, H. and Rondiyah, R., Reviewing the van Hiele model and the application of metacognition on geometric thinking. International Journal of Evaluation and Research in Education, 2021, 10(2): 597–605. https://doi.org/10.11591/ijere.v10i2.21185 doi: 10.11591/ijere.v10i2.21185
    [44] Barana, A., From Formulas to Functions through Geometry: A path to understanding algebraic computations. European Journal of Investigation in Health, Psychology and Education, 2021, 11(4): 1485–1502. https://doi.org/10.3390/ejihpe11040106 doi: 10.3390/ejihpe11040106
    [45] Wilkie, K., Creative thinking for learning algebra: Year 10 students' problem solving and problem posing with quadratic figural patterns. Thinking Skills and Creativity, 2024, 52: 101550. https://doi.org/10.1016/j.tsc.2024.101550 doi: 10.1016/j.tsc.2024.101550
    [46] Daróczi, G., Wolska, M., Muerers, W. and Nuerk, H., Word problems: A review of linguistic and numerical factors contributing to their difficulty. Frontiers in Psychology, 2015, 6: 348. https://doi.org/10.3389/fpsyg.2015.00348 doi: 10.3389/fpsyg.2015.00348
    [47] Žakelj, A. and Klančar, A., The role of visual representations in geometry learning. European Journal of Educational Research, 2022, 11(3): 1393–1411. https://doi.org/10.12973/eu-jer.11.3.1393 doi: 10.12973/eu-jer.11.3.1393
    [48] Garzon, J. and Bautista, J., Virtual algebra tiles: A pedagogical tool to teach and learn algebra through geometry. Journal of Computer Assisted Learning, 2018, 34: 876–883. https://doi.org/10.1111/jcal.12296 doi: 10.1111/jcal.12296
    [49] Celik, H.S., and Kaleli Yılmaz, G., Analysis of van Hiele geometric thinking levels studies in Turkey: A meta-synthesis study. International Journal of Curriculum and Instruction, 2022, 14(1): 473–501.
    [50] Li, Y., Wang, K., Xiao, Y. and Froyd, J.E., Research and trends in STEM education: A systematic review of journal publications. International Journal of STEM Education, 2020, 7(1): 11. https://doi.org/10.1186/s40594-020-00207-6 doi: 10.1186/s40594-020-00207-6
    [51] Commission on Higher Education (CHED), CHED memorandum order no. 75, series of 2017. 2017a, CHED.
    [52] Commission on Higher Education (CHED), CHED memorandum order no. 94, series of 2015. 2017b, CHED.
    [53] Commission on Higher Education (CHED), CHED memorandum order no. 25, series of 2015. 2015, CHED.
    [54] Obara, S., Pre-service teachers exploring the role of pattern-based reasoning in the context of algebraic thinking. EURASIA Journal of Mathematics, Science and Technology Education, 2019, 15(11): em1763. https://doi.org/10.29333/ejmste/109262 doi: 10.29333/ejmste/109262
    [55] Doruk, M. and Bayram Gün, G.M., Pre-service mathematics teachers' transformation skills: A focus on algebraic and graphical representations. Trends in Higher Education, 2026, 5(1): 27. https://doi.org/10.3390/higheredu5010027 doi: 10.3390/higheredu5010027
    [56] Armah, R.B. and Kissi, P.S., Use of the van Hiele theory in investigating teaching strategies used by college of education geometry tutors. EURASIA Journal of Mathematics, Science and Technology Education, 2019, 15(4): 1–13. https://doi.org/10.29333/ejmste/103562 doi: 10.29333/ejmste/103562
    [57] Guo, W., Design and implementation of multi-purpose quizzes to improve mathematics learning for transitional engineering students. STEM Education, 2022, 2(3): 245–261. https://doi.org/10.3934/steme.2022015 doi: 10.3934/steme.2022015
    [58] Pepin, B., Biehler, R. and Gueudet, G., Mathematics in engineering education: A Review of the recent literature with a view towards innovative practices. International Journal of Research in Undergraduate Mathematics Education, 2021, 7: 163–188. https://doi.org/10.1007/s40753-021-00139-8 doi: 10.1007/s40753-021-00139-8
    [59] Tang, Y.M., Chau, K.Y., Lau, Y.Y. and Ho, G.T., Impact of mobile learning in engineering mathematics under 4-year undergraduate curriculum. Asia Pacific Journal of Education, 2025, 45(1): 147–163. https://doi.org/10.1080/02188791.2022.2082379 doi: 10.1080/02188791.2022.2082379
    [60] Tossavainen, T., Rensaa, R.J. and Johansson, M., Swedish first-year engineering students' views of mathematics, self-efficacy and motivation and their effect on task performance. International Journal of Mathematical Education in Science and Technology, 2021, 52(1): 23–38. https://doi.org/10.1080/0020739X.2019.1656827 doi: 10.1080/0020739X.2019.1656827
    [61] Ancheta, C.M.D. and Subia, G.S., Error analysis of engineering students' misconceptions in algebra. International Journal of Engineering Trends and Technology, 2020, 68(12): 66–71. https://doi.org/10.14445/22315381/IJETT-V68I12P212 doi: 10.14445/22315381/IJETT-V68I12P212
    [62] Mahadewsing, R., Getrouw, D. and Calor, S.M., Prior knowledge of a calculus course: The impact of prior knowledge on students' errors. International Electronic Journal of Mathematics Education, 2024, 19(3): em0786. https://doi.org/10.29333/iejme/14765 doi: 10.29333/iejme/14765
    [63] Razak, M.R.I., Ismail, N.Z., Zolkefley, M.K.I., Mohamed, N. and Shohaimay, F., Learning mathematics in computer science courses: A comprehensive structured review. International Journal of Education, Psychology and Counseling, 2025, 10(59): 1216–1230. https://doi.org/10.35631/IJEPC.1059089 doi: 10.35631/IJEPC.1059089
    [64] Sofowora, M.A., Obono, S.D.E. and Abayomi, A., The influence of mathematics on students' performance in computer programming. In The Proceedings of the International Conference on Innovations in Smart Cities Applications, 2021,745‒755. Springer.
    [65] Borovik, A. and Kondratiev, V., A new course "Algebra + Computer Science": What should be its outcomes and where it should start. Doklady Mathematics, 2023,107(Suppl 1): S117‒S131. https://doi.org/10.1134/S106456242370062X doi: 10.1134/S106456242370062X
    [66] Sarmasági, P., Rumbus, A. and Bilbao, J., Algebraic and computational thinking: Foundations for problem-solving. In Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2024), 2024, 83‒95. Springer. https://doi.org/10.1007/978-981-96-6034-6_6
    [67] Bråting, K. and Kilhamn, C., Exploring the intersection of algebraic and computational thinking. Mathematical Thinking and Learning, 2021, 23(2): 170–185. https://doi.org/10.1080/10986065.2020.1779012 doi: 10.1080/10986065.2020.1779012
    [68] Olteanu, C., Programming, mathematical reasoning and sense-making. International Journal of Mathematical Education in Science and Technology, 2022, 53(8): 2046–2064. https://doi.org/10.1080/0020739X.2020.1858199 doi: 10.1080/0020739X.2020.1858199
    [69] Chellougui, F., Durand-Guerrier, V. and Meyer, A., Discrete mathematics, computer science, logic, proof and their relationships. In Research and Development in University Mathematics Education, R.H.V. Durand-Guerrier, E. Nardi, & C. Winsløw Editor. 2021, Routledge.
    [70] Fraenkel, J., Wallen, N. and Hyun, H., How to design and evaluate research in education, 2012, McGraw-Hill.
    [71] Senk, S., Van Hiele levels and achievement in writing geometry proofs. Journal for Research in Mathematics Education, 1989, 20(3): 309–321. https://doi.org/10.2307/749519 doi: 10.2307/749519
    [72] Terwee, C., Bot, S., de Boer, M., van der Windt, D., Knol, D., Dekker, J., et al., Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 2007, 60(1): 34–42. https://doi.org/10.1016/j.jclinepi.2006.03.012 doi: 10.1016/j.jclinepi.2006.03.012
    [73] Manero, V. and Arnal-Bailera, A., Understanding proof practices of pre-service mathematics teachers in geometry. Mathematics Teaching Research Journal, 2021, 13(3): 99–130.
    [74] Shmigirilova, I.B., Rvanova, A.S., Tadzhigitov, A.A. and Beloshistova, Y.S., Advancing future mathematics teachers' geometric thinking through a Van Hiele-based elementary geometry course. Journal on Mathematics Education, 2025, 16(3): 799–818. https://doi.org/10.22342/jme.v16i3.pp799-818 doi: 10.22342/jme.v16i3.pp799-818
    [75] Soneira, C., González-Calero, J.A. and Arnau, D., Effect of algebraic language and problem text wording on problem model accuracy when solving age word problems. Educational Studies in Mathematics, 2023,114: 109–127. https://doi.org/10.1007/s10649-023-10236-x doi: 10.1007/s10649-023-10236-x
    [76] Veith, J.M., Beste, M.L., Kindervater, M., Krause, M., Straulino, M., Greinert, F., et al., Mathematics education research on algebra over the last two decades: Quo vadis? Frontiers in Education, 2023, 8: 1211920. https://doi.org/10.3389/feduc.2023.1211920 doi: 10.3389/feduc.2023.1211920
  • Author's biography Judel V. Protacio, PhD is a Professor at the College of Education, Arts and Sciences of Capiz State University, Pontevedra, Capiz, Philippines. His research interests include mathematics and pre-service teacher education
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