Meher R. Taleyarkhan, Anne M. Lucietto & Therese M. Azevedo
Abstract: Engineering Technology (ET) is often combined with that of Engineering. Although Engineering Technology is based on a more hands-on approach and Engineering a theoretical approach, the two majors share a very similar pedagogy in teaching students the same engineering and scientific principles. An observation by an ET professor found that ET students more often than not would eschew the use of mathematical computations and instead provide answers they believe to be correct, without computation or explanation. Leading researchers to delve into possible reasons as to why ET students are reluctant to utilize mathematics. This study utilized in-person interviews with 15 undergraduate participants from a Midwestern University in the United States of America from ET to ascertain how ET students perceive mathematics. The results of the study found that although ET students were stated to not hate mathematics and are open to using mathematics, there was a slight apprehension towards math due to bad math experiences and not being able to connect the conceptual nature of mathematics to the visual and real-life scenarios ET students are used to facing. The results of this study help to lay the foundation for future research studies geared towards further understanding why ET students are apprehensive towards mathematics and ultimately how to help ET students overcome this apprehension.
Keywords: college; engineering technology; mathematics; student
Please Cite: Taleyarkhan. M. R, Lucietto, A. M., & Azevedo, T. M. (2021). How Engineering Technology Students Perceive Mathematics. Journal of Research in Science, Mathematics and Technology Education, 4(1), 23-43. DOI: https://doi.org/10.31756/jrsmte.413
References Ahmed, W. (2018). Developmental trajectories of math anxiety during adolescence: Associations with STEM career choice. Journal of Adolescence, 67, 158–166. https://doi.org/10.1016/j.adolescence.2018.06.010 Akin, A., & Kurbanoglu, I. N. (2011). The relationships between math anxiety, math attitudes, and self-efficacy: A structural equation model. Studia Psychologica, 53(3), 263. https://www.researchgate.net/publication/264550653_The_relationships_between_math_anxiety_math_attitudes_and_self-efficacy_A_structural_equation_model Andrews, A., & Brown, J. (2015). The effects of math anxiety. Education, 135(3), 362-370. https://www.ingentaconnect.com/contentone/prin/ed/2015/00000135/00000003/art00013 Betz, N. E. (1978). Prevalence, distribution, and correlates of math anxiety in college students. Journal of Counseling Psychology, 25(5), 441. https://doi.org/10.1037/0022-0220.127.116.111 Brzozowski, L. (2020). Math anxiety and teacher candidates. [Paper] 22nd annual Student Research and Creativity Conference. SUNY Buffalo State. https://digitalcommons.buffalostate.edu/srcc-sp20-edu/5 Foley, A. E., Herts, J. B., Borgonovi, F., Guerriero, S., Levine, S. C., & Beilock, S. L. (2017). The math anxiety-performance link: A global phenomenon. Current Directions in Psychological Science, 26(1), 52-58. https://doi.org/10.1177/0963721416672463 Furner, J. M., & Gonzalez-DeHass, A. (2011). How do students’ mastery and performance goals relate to math anxiety? Eurasia Journal of Mathematics, Science and Technology Education, 7(4), 227–242. https://doi.org/10.12973/ejmste/75209 Hembree, R. (1990). The nature, effects, and relief of mathematics anxiety. Journal for Research in Mathematics Education, 21(1), 33–46. https://doi.org/10.2307/749455 Jaltare, V., & Moghe, K. (2020, April). Effect of expressive writing on math anxiety of engineering students. In IOP Conference Series: Materials Science and Engineering (Vol. 804, No. 1, p. 012057). IOP Publishing. https://iopscience.iop.org/article/10.1088/1757-899X/804/1/012057/meta Klein, K., & Boals, A. (2001). Expressive writing can increase working memory capacity. Journal of Experimental Psychology: General, 130(3), 520–533. https://doi.org/10.1037/0096-3418.104.22.1680 Liew, J., Lench, H. C., Kao, G., Yeh, Y. C., & Kwok, O. M. (2014). Avoidance temperament and social-evaluative threat in college students' math performance: A mediation model of math and test anxiety. Anxiety, Stress, & Coping, 27(6), 650-661. https://doi.org/10.1080/10615806.2014.910303 Lucietto, A. M., Taleyarkhan, M. R., Hobson, N., & Azevedo, T. M. (2020). 2020 ASEE Virtual Annual Conference & Exposition. American Society for Engineering Education. https://peer.asee.org/math-anxiety-engineering-technology-students-problem-solving-through-rational-or-experiential-contexts.pdf Luttenberger, S., Wimmer, S., & Paechter, M. (2018). Spotlight on math anxiety. Psychology Research and Behavior Management, 11, 311. https://doi.org/10.2147/PRBM.S141421 Maloney, E. A., & Beilock, S. L. (2012). Math anxiety: Who has it, why it develops, and how to guard against it. Trends in Cognitive Sciences, 16(8), 404–406. https://doi.org/10.1016/j.tics.2012.06.008 Perry, A. B. (2004). Decreasing math anxiety in college students. College Student Journal, 38(2), 321–325. https://go.gale.com/ps/anonymous?id=GALE%7CA119741942&sid=googleScholar&v=2.1&it=r&linkaccess=abs&issn=01463934&p=AONE&sw=w Primi, C., Busdraghi, C., Tomasetto, C., Morsanyi, K., & Chiesi, F. (2014). Measuring math anxiety in Italian college and high school students: Validity, reliability and gender invariance of the Abbreviated Math Anxiety Scale (AMAS). Learning and Individual Differences, 34, 51-56. https://doi.org/10.1016/j.lindif.2014.05.012 QSR International (n.d.). NVivo. https://www.qsrinternational.com/nvivo-qualitative-data-analysis-software/home Ramirez, G., Shaw, S. T., & Maloney, E. A. (2018). Math anxiety: Past research, promising interventions, and a new interpretation framework. Educational Psychologist, 53(3), 145-164. https://doi.org/10.1080/00461520.2018.1447384 Roy, J. (2018). Engineering by the numbers. American Society for Engineering Education. https://ira.asee.org/wp-content/uploads/2019/07/2018-Engineering-by-Numbers-Engineering-Statistics-UPDATED-15-July-2019.pdf Šimić Šašić, S., Šimunić, A., Ivković, A., & Ključe, A. (2018). The correlation of perceptions of professional roles and teacher beliefs with the quality of teacher interaction. Journal of Research in Science, Mathematics and Technology Education, 1(2), 207-227. https://www.academia.edu/36679451/The_Correlation_of_Perceptions_of_Professional_Roles_and_Teacher_Beliefs_with_the_Quality_of_Teacher_Interaction Sokolowski, H. M., Hawes, Z., & Lyons, I. M. (2019). What explains sex differences in math anxiety? A closer look at the role of spatial processing. Cognition, 182, 193-212. https://doi.org/10.1016/j.cognition.2018.10.005 Tee, K. N., Leong, K. E., & Abdul Rahim, S. S. (2018). Effects of self-regulation strategies training on secondary students’ attitude and self-reflection toward mathematics. Journal of Research in Science Mathematics and Technology Education, 1(2), 143–168. https://doi.org/10.31756/jrsmte.122 Vitasari, P., Herawan, T., Wahab, M. N. A., Othman, A., & Sinnadurai, S. K. (2010). Exploring mathematics anxiety among engineering students. Procedia - Social and Behavioral Sciences, 8, 482–489. https://doi.org/10.1016/j.sbspro.2010.12.066 Young, C. B., Wu, S. S., & Menon, V. (2012). The neurodevelopmental basis of math anxiety. Psychological Science, 23(5), 492-501. https://doi.org/10.1177/0956797611429134