logo logo European Journal of Educational Research

EU-JER is is a, peer reviewed, online academic research journal.

Subscribe to

Receive Email Alerts

for special events, calls for papers, and professional development opportunities.

Subscribe

Publisher (HQ)

Eurasian Society of Educational Research
Eurasian Society of Educational Research
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Eurasian Society of Educational Research
Headquarters
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Research Article

The Influence of Cognitive and Affective Factors on the Performance of Prospective Mathematics Teachers

Dwi Juniati , I Ketut Budayasa

This study aimed to determine the effect of cognitive and affective factors on the performance of prospective mathematics teachers. Cognitive factors .

T

This study aimed to determine the effect of cognitive and affective factors on the performance of prospective mathematics teachers. Cognitive factors include cognitive independence level and working memory capacity, while affective factor include math anxiety. Mathematical performance was then assessed as basic math skills, advanced math skills and problem-solving ability. This research combined quantitative and qualitative research methods. In order to determine the effects of cognitive independence, working memory capacity, and math anxiety on math performance, multiple regression tests were used. To then see the effects of these three factors on problem-solving ability, a qualitative approach was used. Eighty-seven prospective math teachers participated in this study. Based on the results of the multiple regression, it was found that the level of cognitive independence affects basic math skills but has no effect on advanced math skills. Working memory capacity was seen to positively affect math performance (basic and advanced math skills, problem-solving skills), while mathematics anxiety demonstrated negative effects on advanced math skills and problem-solving skills.

Keywords: Affective factor, cognitive style, math anxiety, working memory capacity.

cloud_download PDF
Cite
Article Metrics
Views
823
Download
1862
Citations
Crossref
2

Scopus
5

References

Adams, J. W., & Hitch, G. J. (1997). Working memory and children's mental addition. Journal of Experimental Child Psychology67(1), 21-38. https://doi.org/10.1006/jecp.1997.2397

Aiken, L. R. (1970). Attitudes toward mathematics. Review of Educational Research40(4), 551-596. https://doi.org/10.3102/00346543040004551

Al Mutawah, M. A. (2015). The influence of mathematics anxiety in middle and high school students’ math achievement. International Education Studies8(11), 239-252. https://doi.org/10.5539/ies.v8n11p239

Altıntaş, S., & Görgen, İ. (2018). The effects of pre-service teachers’ cognitive styles on learning approaches. International Journal of Evaluation and Research in Education, 7(4), 285-293. https://doi.org/10.11591/ijere.v7i4.15737

Ashcraft, M. H., & Krause, J. A. (2007). Working memory, math performance, and math anxiety. Psychonomic Bulletin & Review14(2), 243-248. https://doi.org/10.3758/bf03194059

Ashcraft, M. H., & Moore, A. M. (2009). Mathematics anxiety and the affective drop in performance. Journal of Psychoeducational Assessment27(3), 197-205. https://doi.org/10.1177/0734282908330580

Atkinson, A. L., Allen, R. J., & Waterman, A. H. (2021). Exploring the understanding and experience of working memory in teaching professionals: A large-sample questionnaire study. Teaching and Teacher Education103, 103343. https://doi.org/10.1016/j.tate.2021.103343

Awofala, A. O., & Odogwu, H. N. (2017). Assessing Preservice teachers’ mathematics cognitive failures as related to mathematics anxiety and performance in undergraduate calculus. Acta Didactica Napocensia10(2), 81-98. https://doi.org/10.24193/adn.10.2.7

Ayvaz, Ü., Gündüz, N., Durmuş, S., & Dündar, S. (2016). Subtraction performances of primary school prospective mathematics teachers having different cognitive styles. Universal Journal of Educational Research4(12A), 167-172. https://doi.org/10.13189/ujer.2016.041321

Baddeley, A. (2003). Working memory: Looking back and looking forward. Nature Reviews Neuroscience4(10), 829-839. https://doi.org/10.1038/nrn1201

Battista, M. T. (1986). The relationship of mathematics anxiety and mathematical knowledge to the learning of mathematical Pedogogy by Preservice elementary teachers. School Science and Mathematics86(1), 10-19. https://doi.org/10.1111/j.1949-8594.1986.tb11580.x

Beilock, S. L., Gunderson, E. A., Ramirez, G., & Levine, S. C. (2010). Female teachers’ math anxiety affects girls’ math achievement. Proceedings of the National Academy of Sciences107(5), 1860-1863. https://doi.org/10.1073/pnas.0910967107

Blanco, L. J., Guerrero Barona, E., & Caballero Carrasco, A. (2013). Cognition and affect in mathematics problem solving with prospective teachers. The Mathematics Enthusiast10(1-2), 335-364. https://doi.org/10.54870/1551-3440.1270

Brady, P., & Bowd, A. (2005). Mathematics anxiety, prior experience and confidence to teach mathematics among pre‐service education students. Teachers and Teaching11(1), 37-46. https://doi.org/10.1080/1354060042000337084

Brownell, M. T., Sindelar, P. T., Kiely, M. T., & Danielson, L. C. (2010). Special education teacher quality and preparation: Exposing foundations, constructing a new model. Exceptional Children76(3), 357-377. https://doi.org/10.1177/001440291007600307

Budayasa, I. K., & Juniati, D. (2019). The influence of cognitive style on mathematical communication of prospective math teachers in solving problems. Journal of Physics: Conference Series1417(1), 012056. https://doi.org/10.1088/1742-6596/1417/1/012056

Cargnelutti, E., Tomasetto, C., & Passolunghi, M. C. (2017). The interplay between affective and cognitive factors in shaping early proficiency in mathematics. Trends in Neuroscience and Education8-9, 28-36. https://doi.org/10.1016/j.tine.2017.10.002

Cowan, N. (2013). Working memory underpins cognitive development, learning, and education. Educational Psychology Review26(2), 197-223. https://doi.org/10.1007/s10648-013-9246-y

Cuneo, F., Antonietti, J., & Mohr, C. (2018). Unkept promises of cognitive styles: A new look at old measurements. PLOS ONE13(8), e0203115. https://doi.org/10.1371/journal.pone.0203115

DeYoung, C. G., Flanders, J. L., & Peterson, J. B. (2008). Cognitive abilities involved in insight problem solving: An individual differences model. Creativity Research Journal20(3), 278-290. https://doi.org/10.1080/10400410802278719

Friso-van den Bos, I., Van der Ven, S. H., Kroesbergen, E. H., & Van Luit, J. E. (2013). Working memory and mathematics in primary school children: A meta-analysis. Educational Research Review10, 29-44.  https://doi.org/10.1016/j.edurev.2013.05.003

Gresham, G. (2007). A study of mathematics anxiety in pre-service teachers. Early Childhood Education Journal35(2), 181-188. https://doi.org/10.1007/s10643-007-0174-7

Gürefe, N., & Bakalım, O. (2018). Mathematics anxiety, perceived mathematics self-efficacy and learned helplessness in mathematics in faculty of education students. International Online Journal of Educational Sciences10(3), 154-166. https://doi.org/10.15345/iojes.2018.03.010

Gutiérrez-Rubio, D., León-Mantero, C., Maz-Machado, A., & Madrid-Martín, M. J. (2020). Relationship between math anxiety and perception of the utility of geometry in primary education in prospective teachers. Universal Journal of Educational Research8(3), 731-738. https://doi.org/10.13189/ujer.2020.080301

Hambrick, D. Z., & Engle, R. W. (2003). The role of working memory in problem solving. The Psychology of Problem Solving, 176-206. https://doi.org/10.1017/cbo9780511615771.007

Hanifah, U., Juniati, D., & Siswono, T. Y. (2018). Students’ spatial performance: Cognitive style and sex differences. Journal of Physics: Conference Series947, 012014. https://doi.org/10.1088/1742-6596/947/1/012014

Hayes, J., & Allinson, C. W. (1998). Cognitive style and the theory and practice of individual and collective learning in organizations. Human Relations51(7), 847-871. https://doi.org/10.1177/001872679805100701

Holmes, J., & Adams, J. W. (2006). Working memory and children’s mathematical skills: Implications for mathematical development and mathematics curricula. Educational Psychology26(3), 339-366. https://doi.org/10.1080/01443410500341056

Juniati, D., & Budayasa, I. K. (2020a). The mathematics anxiety: Do prospective math teachers also experience it? Journal of Physics: Conference Series1663(1), 012032. https://doi.org/10.1088/1742-6596/1663/1/012032

Juniati, D., & Budayasa, I. K. (2020b). Working memory capacity and mathematics anxiety of mathematics students and its effect on mathematics achievement. Journal for the Education of Gifted Young Scientists, 8(1), 279-291. https://doi.org/10.17478/jegys.653518

Juniati, D., & Budayasa, K. (2017). Construction of learning strategies to combine culture elements and technology in teaching group theory. World Transactions on Engineering and Technology Education, 15(3), 206–211. https://cutt.ly/MGqUYwd

Juniati, D., & Budayasa, K. (2021). Field-based tasks with technology to reduce mathematics anxiety and improve performance. World Transactions on Engineering and Technology Education, 19(1), 58-64.  https://bit.ly/3K0hdTZ

Kozhevnikov, M. (2007). Cognitive styles in the context of modern psychology: Toward an integrated framework of cognitive style. Psychological Bulletin133(3), 464-481. https://doi.org/10.1037/0033-2909.133.3.464

Lake, V. E., & Kelly, L. (2014). Female Preservice teachers and mathematics: Anxiety, beliefs, and stereotypes. Journal of Early Childhood Teacher Education35(3), 262-275. https://doi.org/10.1080/10901027.2014.936071

Mamonto, K., Juniati, D., & Siswono, T. Y. (2018). Understanding fraction concepts of Indonesian junior high school students: A case of field independent and field dependent students. Journal of Physics: Conference Series947, 012058. https://doi.org/10.1088/1742-6596/947/1/012058

Mousavi, S., Radmehr, F., & Alamolhodaei, H. (2018). The role of mathematical homework and prior knowledge on the relationship between students’ mathematical performance, cognitive style and working memory capacity. Electronic Journal of Research in Education Psychology10(28), 1223-1248. https://doi.org/10.25115/ejrep.v10i28.1532

Novak, E., & Tassell, J. L. (2017). Studying preservice teacher math anxiety and mathematics performance in geometry, word, and non-word problem solving. Learning and Individual Differences54, 20-29. https://doi.org/10.1016/j.lindif.2017.01.005

Onwumere, O., & Reid, N. (2014). Field dependency and performance in mathematics. European Journal of Educational Research3(1), 43-57. https://doi.org/10.12973/eu-jer.3.1.43

Palengka, I., Juniati, D., & Abadi. (2019). Creative mathematical reasoning of prospective teachers in solving problems reviewed based on working memory capacity. Journal of Physics: Conference Series1417(1), 012055. https://doi.org/10.1088/1742-6596/1417/1/012055

Panaoura, A. (2007). The interplay of processing efficiency and working memory with the development of Metacognitive performance in mathematics. The Mathematics Enthusiast4(1), 31-52. https://doi.org/10.54870/1551-3440.1057

Pantaleon, K. V., Juniati, D., & Lukito, A. (2018). The proving skill profile of prospective math teacher with high math ability and high math anxiety. Journal of Physics: Conference Series1097, 012154. https://doi.org/10.1088/1742-6596/1097/1/012154

Pantaleon, K. V., Juniati, D., Lukito, A., & Mandur, K. (2018). The written mathematical communication profile of prospective math teacher in mathematical proving. Journal of Physics: Conference Series947, 012070. https://doi.org/10.1088/1742-6596/947/1/012070

Passolunghi, M. C., Caviola, S., De Agostini, R., Perin, C., & Mammarella, I. C. (2016). Mathematics anxiety, working memory, and mathematics performance in secondary-school children. Frontiers in Psychology7:42https://doi.org/10.3389/fpsyg.2016.00042

Ramirez, G., Gunderson, E. A., Levine, S. C., & Beilock, S. L. (2013). Math anxiety, working memory, and math achievement in early elementary school. Journal of Cognition and Development14(2), 187-202. https://doi.org/10.1080/15248372.2012.664593

Rayner, V., Pitsolantis, N., & Osana, H. (2009). Mathematics anxiety in preservice teachers: Its relationship to their conceptual and procedural knowledge of fractions. Mathematics Education Research Journal21(3), 60-85. https://doi.org/10.1007/bf03217553

Reyes, L. H. (1984). Affective variables and mathematics education. The Elementary School Journal84(5), 558-581. https://doi.org/10.1086/461384

Roeser, R. W., Schonert-Reichl, K. A., Jha, A., Cullen, M., Wallace, L., Wilensky, R., Oberle, E., Thomson, K., Taylor, C., & Harrison, J. (2013). Mindfulness training and reductions in teacher stress and burnout: Results from two randomized, waitlist-control field trials. Journal of Educational Psychology105(3), 787-804. https://doi.org/10.1037/a0032093

Simon, H. A. (1982). Comments. In M. S. Clark & S.T. Fiske (Eds), Affect and cognition (pp. 333-342). Psychology Press. https://doi.org/10.4324/9781315802756

Singer, F. M., Voica, C., & Pelczer, I. (2016). Cognitive styles in posing geometry problems: Implications for assessment of mathematical creativity. ZDM49(1), 37-52. https://doi.org/10.1007/s11858-016-0820-x

Sloan, T., Daane, C. J., & Giesen, J. (2002). Mathematics anxiety and learning styles: What is the relationship in elementary Preservice teachers? School Science and Mathematics102(2), 84-87. https://doi.org/10.1111/j.1949-8594.2002.tb17897.x

Sloan, T. R. (2010). A quantitative and qualitative study of math anxiety among Preservice teachers. The Educational Forum74(3), 242-256. https://doi.org/10.1080/00131725.2010.483909

Son, A. L., Darhim, D., & Fatimah, S. (2020). Students’ mathematical problem-solving ability based on teaching models intervention and cognitive style. Journal on Mathematics Education11(2), 209-222. https://doi.org/10.22342/jme.11.2.10744.209-222

Stamovlasis, D., & Tsaparlis, G. (2005). Cognitive variables in problem solving: A nonlinear approach. International Journal of Science and Mathematics Education3(1), 7-32. https://doi.org/10.1007/s10763-004-3918-5

Syamsuddin, A., Juniati, D., & Siswono, T. Y. (2020). Understanding the problem-solving strategy based on cognitive style as a tool to investigate reflective thinking process of prospective teacher. Universal Journal of Educational Research8(6), 2614-2620. https://doi.org/10.13189/ujer.2020.080644

Vinson, B. M. (2001). A comparison of pre-service teachers’ mathematics anxiety before and after a methods class emphasizing manipulatives. Early Childhood Education Journal, 29, 89-94. http://doi.org/10.1023/A:1012568711257

Wiley, J., & Jarosz, A. F. (2012). How working memory capacity affects problem solving. Psychology of Learning and Motivation, 56, 185-227. https://doi.org/10.1016/b978-0-12-394393-4.00006-6

Witkin, H. A., & Asch, S. E. (1948). Studies in space orientation. IV. Further experiments on perception of the upright with displaced visual fields. Journal of Experimental Psychology38(6), 762-782. https://doi.org/10.1037/h0053671

Witkin, H. A., Moore, C. A., Goodenough, D., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research47(1), 1-64. https://doi.org/10.3102/00346543047001001

 https://doi.org/10.1016/j.cognition.2017.05.016

Wu, S. S., Barth, M., Amin, H., Malcarne, V., & Menon, V. (2012). Math anxiety in second and third graders and its relation to mathematics achievement. Frontiers in Psychology, 3,162. https://doi.org/10.3389/fpsyg.2012.00162

Young, C. B., Wu, S. S., & Menon, V. (2012). The neurodevelopmental basis of math anxiety. Psychological Science23(5), 492-501. https://doi.org/10.1177/0956797611429134

Zhang, L. (2004). Field-dependence/independence: Cognitive style or perceptual ability? validating against thinking styles and academic achievement. Personality and Individual Differences37(6), 1295-1311. https://doi.org/10.1016/j.paid.2003.12.015

...