The study assessed the extent of skills acquired by the mathematics and non-mathematics major students to the new general education course, MMW. Specifically, this study investigated the significance of the difference between the levels of mathematical skills and perceived important mathematical skills of the students for career success. Likewise, the correlation between perceived acquired mathematical skills and important mathematical skills in MMW. A descriptive research design, comparative, and correlational methods of analysis were utilized. Data were collected using a survey questionnaire with prior validation and reliability measurements. A random of 134 teacher education students were selected. The results revealed that the overall level of mathematical skills in the MMW of the mathematics major students was very good, while Good for the non-mathematics major students. On the other hand, the mathematics major students perceived the skills acquired in the MMW as very important for career success for a moderately important perception of the non-mathematics major students. A statistical significance of the difference was obtained between the level of mathematical skills (t = 7.69, p = 0.001), and the perceived importance of skills (t = 4.65, p = 0.001) between the group of students. A significance of the relationship was found between student’s perceive important mathematical skills and perceived level of mathematical skills (r=0.421; p=0.001). It is recommended that the teacher education department faculty members should continue improving and strengthening its quality of instruction to increase the level of mathematical skills of the mathematics major students from very good to excellence, and good to excellence for the non-mathematics major students. Maximize the teaching motivation and learning motivation of the non-mathematics major students to increase their perception of the importance of mathematical skills from moderately important to very important.
Anthony, G., & Walshaw, M. (2009). Characteristics of effective teaching of mathematics: A view from the West. Journal of Mathematics Education, 2(2), 147-164. https://educationforatoz.com/images/_9734_12_Glenda_Anthony.pdf
Ashford, J. B., & LeCroy, C. W. (2010). Human behavior in the social environment: A multidimensional perspective (4th ed.). Belmont, CA: Wadsworth, Cengage Learning.
Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall.
Brace, N., Snelgar, R., & Kemp, R. (2012). SPSS for Psychologists. Macmillan International Higher Education.
Commission of Higher Education (CHED) (2013). General education curriculum: Holistic understanding, intellectual and civic competencies. CHED Memorandum Order no. 20. Retrieved from http://www.ched.gov.ph/wp-content/uploads/2013/07CMO-no.20-s2013.pdf
Commission on Higher Education (CHED) (2016). Policy framework and strategies on the internationalization of Philippine higher education. CHED Memorandum Order No. 55. Retrieved from https://ched.gov.ph/wp-content/uploads/2017/ 10/CMO -55-s.-2016.pdf
Commission of Higher Education (CHED) (2017). Mathematics in the modern world preliminaries. Retrieved from http://ched.gov.ph.pdf
Connell, J., Carlton, J., Grundy, A., Taylor Buck, E., Keetharuth, A. D., Ricketts, T., … Brazier, J. (2018). The importance of content and face validity in instrument development: lessons learnt from service users when developing the recovering quality of life measure. Quality of Life Research, 27(7), 1893–1902. doi:10.1007/s11136-018-1847-y
Corbishley, J. B., & Truxaw, M. P. (2010). Mathematical readiness of entering college freshmen: An exploration of perceptions of mathematics faculty. School Science and Mathematics, 110(2), 71-85. https://doi.org/10.1111/j.1949-8594.2009.00011.x
Cordova, C., Tan, DA. (2018). Mathematics proficiency, attitude and performance of grade 9 students in private high school in Bukidnon, Philippines. Asian Academic Research Journal of Social Sciences and Humanities, 5(2), 103-116.
Cornillez Jr., E. E. C. (2019). Instructional quality and academic satisfaction of university students. European Journal of Education Studies, 6(4), 13-31. https://doi.org/10.5281/zenodo.3269406
Huebner, T. A., & Corbett, G. C. (2008). Rethinking high school: Supporting all students to be college ready in math. WestEd. Retrieved from http://www.wested.org/online_pubs/GF-08-01.pdf
Francisco, F. F. (2017, May 7). The mathematics in the modern world: An overview. Mathematical Society of the Philippines. Retrieved from http://www.facebook.com
Karadag, Z. (2009). Analyzing students’ mathematical thinking in technology-supported environments (Doctoral dissertation, University of Toronto).
Kim, T. K. (2015). T test as a parametric statistic. Korean journal of anesthesiology, 68(6), 540.
Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7). Retrieved from: https://ssrn.com/abstract=2152644
McCormick, N. & Lucas, M. (2011). Exploring the mathematics college readiness in the United Stated. Current Issues in Education, 14(1). Retrieved from http://cie.asu.edu/ojs/index.php/cieatsu/article/view/680
Nassaji, H. (2015). Qualitative and descriptive research: Data type versus data analysis. Language Teaching Research, 19(2), 129–132. doi:10.1177/1362168815572747
Ormrod, J.E. (1999). Human learning (3rd ed.). Upper Saddle River, NJ: Prentice-Hall.
Peterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98(1), 194-198. doi:10.1037/a0030767
Rahi, S. (2017). Research design and methods: A systematic review of research paradigms, sampling issues and instruments development. International Journal of Economics & Management Sciences, 6(2), 1-5. 10.4172/2162-6359.1000403
Remo, L.M. (2019). Prediction and assessment of students’ performance in Mathematics in the Modern World (MMW). International Journal of Scientific & Technology Research, 8, 219-224.
Roldán, J. L., & Sánchez-Franco, M. J. (2012). Variance-based structural equation modeling: guidelines for using partial least squares in information systems research. In Research methodologies, innovations and philosophies in software systems engineering and information systems (pp. 193-221). IGI Global.10.4018/978-1-4666-0179-6.ch010
Roman, A. G., & Villanueva, R. U. (2019). Competency Acquisition, Difficulty and Performance of First Year College Students in Mathematics in the Modern World (MITMW). International Journal on Emerging Mathematics Education, 8(12), 2731-2736.
Rosenberg, S., Heimler, R., & Morote, E. S. (2012). Basic employability skills: A triangular design approach. Education+Training, 54(1), 7-20.
Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics. Handbook of research on mathematics teaching and learning, 334370.
Taber, K. S. (2017). The use of cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education. doi:10.1007/s11165-016-9602-2
Vagias, W. M. (2006). Likert-type scale response anchors. clemson international institute for tourism. & Research Development, Department of Parks, Recreation and Tourism Management, Clemson University.
Zeidmane, A. (2012, September). Development of mathematics competences in higher education institutions. In 2012 15th International Conference on Interactive Collaborative Learning (ICL) (pp. 1-7). IEEE. doi. 10,3991/ijep.v3is2.2394
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.