Assessing Senior High Student’s Learning Experiences in Mathematics

Leomarich Fortugaliza Casinillo(1*), May Ann E. Palen(2), Emily L. Casinillo(3), Paulo G. Batidor(4),

(1) Visayas State University, Visayas State University
(2) Department of Statistics, Visayas State University
(3) Department of Mathematics and Physics, Visayas State University
(4) Department of Statistics, Visayas State University
(*) Corresponding Author




DOI: https://doi.org/10.26858/ijes.v23i1.13437

Abstract


In this study, the learning experience and its cognitive factors of Mathematics among senior high school students of Visayas State University were investigated using a correlational research approach.  A complete enumeration of 222 grade 11 and 12 senior high students in the second semester of school year 2018-2019 were used as the participants of the survey. Using a developed structured questionnaire, a primary data was employed. Results showed that the mathematics attitude of students influence their learning experience and academic performance. Mathematics anxiety has a negative effect on the students learning experience especially for females. However, mathematical resilience locates itself in a positive psychology which addresses mental wellness and makes the students positively perceived that mathematics is interesting even if it is challenging.  Also, results revealed that senior high school students are mostly visual learners in mathematics, which implies that students practice visualizing or pictures numbers/equations and other concepts in their mind. Furthermore, it can be gleaned that an academic performance is not just derived from study habits but to their motivation and interest in mathematics

Keywords


Learning experience; mathematics; senior high school; cognitive factors

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References


Alabekee, E. C., Samuel, A. and Osaat, S. D. (2015). Effect of cooperative learning strategy on students learning experience and achievements in mathematics. International Journal of Education Learning and Development, 3(4), 67-75.

Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181-185.

Ayob, A., & Yasin, R. M. (2017) Factors Affecting Attitudes towards Mathematics. International Journal of Academic Research in Business and Social Sciences, 7(11), 1100-1109. DOI: 10.6007/IJARBSS/v7-i11/3548

Beghetto, R. A. (2016). Creative learning: A fresh look. Journal of Cognitive Education and Psychology, 15(1), 6-23.

Betz, N. E. (1978). Prevalence, distribution, and correlates of math anxiety in college students. Journal of Counseling Psychology, 25(5), 441-448. doi: 10.1037/0022-0167.25.5.441

Casinillo, L. F. (2019). Factors affecting the failure rate in mathematics: the case of Visayas State University (VSU). Review of Socio-Economic Research and Development Studies, 3(1), 1-18.

Casinillo, L. F. & Aure, M. R. K. L. (2018). Econometric evidence on academic performance in basic calculus of science, technology, engineering and mathematics (STEM) senior high students. Journal of Educational and Human Resource Development, 6, 238-249.

Casinillo, L. F., Camulte, M. C. G., Raagas, D. L. & Riña, T. S. (2020). Cultural factors in learning mathematics: the case on achievement level among Badjao students. International Journal of Indonesian Education and Teaching, 4(1), 71-81.

Casinillo, L. F. and Guarte, J. M. (2018). Evaluating the effectiveness of teaching strategies: the case of a national vocational school in Hilongos, Leyte. Review of Socio-Economic Research and Development Studies, 2(1), 64-79.

Cates, G. L., & Rhymer, K. N. (2003). Examining the relationship between mathematics anxiety and mathematics performance: An instructional hierarchy perspective. Journal of Behavioral Education, 12(1), 23-34.

Chamberlin, M. (2009). Teachers’ Reflections on their Mathematical Learning Experiences in a Professional Development Course. Mathematics Teacher Education and Development, 11, 22-35.

Code, W., Merchant, S., Maciejewski, W., Thomas, M., & Lo, J. (2016). The Mathematics Attitudes and Perceptions Survey: an instrument to assess expert-like views and dispositions among undergraduate mathematics students. International Journal of Mathematical Education in Science and Technology, 47(6), 917-937. Retrieved from http://dx.doi.org/10.1080/0020739X.2015.1133854

Danili, E., & Reid, N. (2006). Cognitive factors can potentially affect pupils’ test performance. Chemistry Education Research and Practice, 7, 64–83.

Graf, S., Liu, T.C. & Kinshuk. (2010). Analysis of Learners' Navigational Behaviour and Their Learning Styles in an Online Course. Journal of Computer Assisted Learning, 26(2), 116-131.

Geist, E. A., & King, M. (2008). Different, not better: Gender differences in mathematics learning and achievement. Journal of Instructional

Psychology, 35(1; 1), 43-52.

House, J. D. (2006). Mathematics Beliefs and Achievement of Elementary School Students in Japan and the United States: Results from the Third International Mathematics and Science Study. The Journal of Genetic Psychology, 167(1), 31–45.

Han, S. Y., & Carpenter, D. (2014). Construct validation of student attitude toward science, technology, engineering and mathematics project-based learning: The case of Korean middle grade students. Middle Grades Research Journal, 9(3), 27–41.

Johnston-Wilder, S., Brindley, J., & Dent, P. (2014). A survey of mathematics anxiety and mathematical resilience among existing apprentices. The Gatsby Foundation, London.

Johnston-Wilder, S & Lee, C. (2010). Mathematical resilience. Mathematics Teaching, 218, 38- 41.

Karairmak, O. (2010). Establishing the psychometric qualities of the Connor-Davidson Resilience scale (CD_RISC) using exploratory and confirmatory factor analysis in a trauma survivor sample. Psychiatry Research, 179, 350-356.

Kele, A., & Sharma, S. (2014). Students' beliefs about learning mathematics: Some findings from the Solomon Islands. Teachers and Curriculum, 14, 33–44.

Kooken, J., Welsh, M., McCoach, D., Johnston-Wilder, S., & Lee, C. (2013). Measuring Mathematical Resilience: An application of the construct of resilience to the study of mathematics. Paper presented at national conference of the American Educational Research Association, San Francisco, CA.

Ma, X. (2003). Effects of early acceleration of students in mathematics on attitudes toward mathematics and mathematics anxiety. Teachers College Record, 105(3), 438-464.

Mahmood, S. & Khatoon, T. (2011). Development and Validation of the Mathematics Anxiety Scale for Secondary and Senior Secondary School Students. British Journal of Arts and Social Sciences, 2(2), 169-179.

Mazana, M. Y., Montero, C. S., & Casmir, R. O. (2019). Investigating Students’ Attitude towards Learning Mathematics. International Electronic Journal of Mathematics Education, 14(1), 207-231. Retrieved from https://doi.org/10.29333/iejme/3997

Mensah, J. K., Okyere, M., & Kuranchie, A. (2013). Student attitude towards mathematics and performance: Does the teacher attitude matter? Journal of Education and Practice, 4(3), 132– 139.

Moussa, N. (2018). Learning Styles and the Adoption of Modern Technology among Adult Learners. Institute for Learning Styles Journal, 1, 11-21.

Popham, W. J. (2008). Timed tests for tykes? Educational Leadership, 65(8), 86-87.

Prez, M. D. M., Duque, A. G., & Garca, L. F. (2018). Game-based learning: Increasing the logical-mathematical, naturalistic, and linguistic learning levels of primary school students. Journal of New Approaches in Educational Research, 7(1), 31-39.

Riley, N., Lubans, D. R., Holmes, K., Hansen, V., Gore, J., & Morgan, P. J. (2017). Movement-based mathematics: enjoyment and engagement without compromising learning through the EASY minds program. Eurasia Journal of Mathematics, Science and Technology Education, 1653-1673.

Ruzek, E. A., & Schenke, K. (2019). The tenuous link between classroom perceptions and motivation: A within-person longitudinal study. Journal of Educational Psychology, 111(5), 903–917.

Schiffrin, H. H., & Nelson, S. K. (2010). Stressed and happy? Investigating the relationship between happiness and perceived stress. Journal of Happiness Studies, 11(1), 33-39.

Sadiku, G. S. & Sylaj, V. (2019). Factors that influence the level of the academic performance of the students. Journal of Social Studies Education Research, 10(3), 17-38

Şen, H. S. (2013). The attitudes of university students towards learning. Procedia-Social and Behavioral Sciences, 83, 947 – 953.

Titu, A., Gallian, J., Kane, J. & Mertz, J. (2008) Cross-Cultural Analysis of Students with Exceptional Talent in Mathematical Problem Solving. Notices of the American Mathematical Society, 55(10), 1248-1260

Tularam, G. A. and Machisella, P. (2018). Traditional vs non-traditional teaching and learning strategies-the case of E-learning! International Journal for Mathematics Teaching and Learning, 19(1), 129-158.

Turner, J. C. & Meyer, D. K. (2004). A classroom perspective on the principle of moderate challenge in mathematics. The Journal of Educational Research, 97(6), 311-318. doi:10.3200/JOER.97.6.311-318.

Ulug, M., Ozden, M. S. & Eryilmaz, A. (2011). The effects of teachers’ attitudes on students’ personality and performance. Procedia-Social and Behavioral Sciences, 30, 738-742.


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