Author: Ama N. Fikrati
Institution: Universitas Negeri Surabaya
Author: Tatag Y.E. Siswono
Institution: Universitas Negeri Surabaya, Surabaya
Author: Agung Lukito
Institution: Universitas Negeri Surabaya, Surabaya
Year of publication: 2021
Source: Show
Pages: 111-122
DOI Address:
PDF: tner/202101/tner6309.pdf

This research is an experimental quantitative approach that aims to determine the impact of sex and gender differences on senior high school students’ spatial ability through the implementation of dynamic geometry environment (DGE). Ninety-six high-school student participants were categorized based on gender and sex diversities. Data were analyzed using a three-way ANOVA statistical test and Tukey Test. This study indicates that sex and gender differences and the interaction between sex and gender differences significantly affect students’ spatial abilities. The male students outperform the females. The undifferentiated students outperform all students with different genders (feminine, masculine, and androgyny).


  • Battista, M.T. (1990). Spatial Visualization and Gender Differences in High School Geometry. Journal for Research in Mathematics Education, 21(1), 47.
  • Brillinger, D. (1984). The Collected Works of John W. Tukey. New York: SAGE.
  • Chen, C.-H., Chang, W.-C., & Chang, W.-T. (2009). Gender differences in relation to wayfinding strategies, navigational support design, and wayfinding task difficulty. Journal of Environmental Psychology, 29(2), 220-226.
  • Creswell, J.W. (2012). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. Boston, United States of America: Pearson Education.
  • Fernandez-Baizan, C., Arias, J.L., & Mendez, M. (2019). Spatial memory in young adults: Gender differences in egocentric and allocentric performance. Behavioural Brain Research, 359(July 2018), 694-700.
  • Furner, J.M., & Marinas, C.A. (2007). Geometry sketching software for elementary children: Easy as 1,2,3. Eurasia Journal of Mathematics, Science and Technology Education, 3(1), 83-91.
  • Gardner, H. (1992). Multiple intelligences. New York: Minnesota Center for Arts Education.
  • Gómez-Tone, H.C., Martin-Gutierrez, J., Valencia Anci, L., & Mora Luis, C.E. (2020). International Comparative Pilot Study of Spatial Skill Development in Engineering Students through Autonomous Augmented Reality-Based Training. Symmetry, 12(9), 1401.
  • González, N.A.A. (2015). How to Include Augmented Reality in Descriptive Geometry Teaching. Procedia Computer Science, 75(Vare), 250-256.
  • Halpern, D.F. (2000). Sex Differences in Cognitive Abilities (3rd Editio). Mahwah, NJ, USA: Lawrence Erlbaum Associates Publishers.
  • Kirk, R.E. (1995). Experimental Design: Procedures for the Behavioral Sciences (Third Edit). Monterey, California: Brooks/Cole Publishing.
  • Lainufar, Mailizar, & Johar, R. (2020). A need analysis for the development of augmented reality based-geometry teaching instruments in junior high schools. Journal of Physics: Conference Series, 1460(1).
  • Maarif, S., Wahyudin, W., Noto, M.S., Hidayat, W., & Mulyono, H. (2018). Geometry Exploration Activities Assisted With Dynamic Geometry Software (DGS) in a Teacher Education Classroom. Infinity Journal, 7(2), 133.
  • Maier, P.H. (1998). Spatial Geometry and Spatial Ability - How to Make Solid Geometry Solid? In E. Cohors-Fresenborg, K. Reiss, G. Toener, & H.G. Weigand (Eds.), Selected Papers from the Annual Conference of Didactics of Mathematics 1996 (pp. 63-75). Osnabrueck.
  • Monto, M.A. (1993). An exercise in gender: The BEM Sex Role Inventory in the classroom. Clinical Sociology Review, 11(1), 13.
  • Nagy-Kondor, R. (2010). Spatial ability, descriptive geometry and dynamic geometry systems. Annales Mathematicae et Informaticae, 37(1), 199-210.
  • National Research Council. (2006). Learning to think spatially: GIS as a support system in the K-12 curriculum. US: National Academy Press.
  • Newcombe, N., Bandura, M.M., & Taylor, D.G. (1983). Sex differences in spatial ability and spatial activities. Sex Roles, 9(3), 377-386. Retrieved from
  • Pallant, J. (2001). SPSS survival manual - a step by step guide to data analysis using SPSS for windows (version 10). Buckingham: Buckingham Open University Press.
  • Putri, A.A., Lubis, L., & Ong, P.A. (2017). Comparison of Spatial Ability Between Male and Female Athletes. Althea Medical Journal, 4(2), 213-216.
  • Ramadas, J. (2009). Visual and spatial modes in science learning. International Journal of Science Education, 31(3), 301-318.
  • Reilly, D., Neumann, D.L., & Andrews, G. (2016). Sex and sex-role differences in specific cognitive abilities. Intelligence, 54, 147-158.
  • Sack, J.J. (2013). Development of a top-view numeric coding teaching-learning trajectory within an elementary grades 3-D visualization design research project. Journal of Mathematical Behavior, 32(2), 183-196.
  • Szymanowicz, A., & Furnham, A. (2013). Gender and Gender Role Differences in Self- and Other-Estimates of Multiple Intelligences. The Journal of Social Psychology, 153(4), 399-423.
  • Wong, M., Castro-Alonso, J.C., Ayres, P., & Paas, F. (2018). Investigating gender and spatial measurements in instructional animation research. Computers in Human Behavior, 89, 446-456.
  • Yang, J.C., & Chen, S.Y. (2010). Effects of gender differences and spatial abilities within a digital pentominoes game. Computers & Education, 55(3), 1220-1233.
  • Zander, S., Montag, M., Wetzel, S., & Bertel, S. (2020). A gender issue? - How touch-based interactions with dynamic spatial objects support performance and motivation of secondary school students. Computers and Education, 143 (August 2019).
  • Zhu, Z. (2007). Gender differences in mathematical problem solving patterns: A review of literature. International Education Journal, 8(2), 187-203.

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