Studying Strategies and Differential Calculus Competency of Bsed Math Iii Students

Abstract
The present study investigated the studying strategies in Differential Calculus of the students in relation to their competency. There were several assumptions in the past studies on how the studying strategies explain the competency of the students. The present research gathered the common studying strategies and formulated a checklist to be answered along with a competency test. The final grade and the test score of the students were merged to determine their rank relative to the other respondents. Using chi-squared with critical values between 5.99 and 9.21, the studying strategies of the upper and lower groups were assessed whether there is a significant difference and relationship to their competency in Differential calculus. Those studying strategies that have a significant relationship are grouped which is then concluded as the effective studying strategies in Differential Calculus.
Keywords: Differential Calculus, studying strategies, competency, grades, mathematics, test scores

Introduction Differential Calculus is a subfield of calculus which deals with the change of rates at which quantities change. It is learned in schools because of so many reasons. Firstly, the mastery of this field is needed because it plays a major role in applications to physics and engineering, thus, it is a prerequisite to higher education in mathematics. Secondly, it also provides theoretical platforms on which applied methods are built on. Another justification for learning this field is that it provides analysis which has two distinct but interactive branches according to the types of functions that are studied: namely, real analysis, which focuses on functions whose domains consist of real numbers, and complex analysis, which deals with functions of a complex variable. This seems like a small distinction, but it turns out to have enormous implications for the theory and results in two very different kinds of subjects. Both have important applications.

References: Aluja, A., & Blanch, A. (2004). Socialized personality; scholastic aptitudes, study habits, and academic achievement: Exploring the link. European Journal of Psychological Assessment, 20(3), 157-165. Brown, W. R, & Holtzman, W. (1956). Brown-Holtzman Survey of Study Habits and Attitudes (SSHA), 1956 manual. Journal of Consulting Psychology, 20(3), 237. Brown, W. R, & Holtzman, W. (1957). Test Review: Survey of Study Habits and Attitudes (SSHA). Journal of Counseling Psychology, 4(1), 75-76. Brown, W. R, & Holtzman, W. (1969). Survey of study habits and attitudes. Journal of Educational Measurement, 6, 120-122. Efklides, A. (2008). Metacognition: defining its facets and levels of functioning in relation to self-regulation and co-regulation. European Psychologist, 13(4), 277–287. Goldfried, M. R., & D 'Zurilla, T. G. (1973). Prediction of academic competence by means of the Survey of Study Habits and Attitudes. Journal of Educational Psychology, 64(1), 116-122. doi:10.1037/h0034068. Holtzman, W. H., & Brown, W. F. (1968). Evaluating the study habits and attitudes of high school students. Journal of Educational Psychology, 59(6), 404-409. Hurlburt, G., Kroeker, R., & Gade, F. (1991). Study orientation, persistence and retention of native students: Implications for confluent education. Journal of American Indian Education, 30(3), 16-23. “Is there Life after Calculus”, October 20, 2010 (http://www.math.cornell.edu/Courses/lifeaftercalc.html#analysis) Magno, C Magno, C. (2009b). Investigating the effect of school ability on self-efficacy, learning approaches, and metacognition. The Asia-Pacific Education Researcher, 18(2), 233-244. Magno, C. (2010). Looking at Filipino pre-service teachers’ value for education through epistemological beliefs about learning and Asian values. The Asia-Pacific Education Researcher, 19(1), 61-78. Murray, C., & Wren, C. T. (2003). Cognitive, Academic, and Attitudinal Predictors of the Grade Point Averages of College Students with Learning Disabilities. Journal of Learning Disability, 36(5), 407-415. doi:10.1177/00222194030360050201 Nonis, S On, T. K., & Watkins, D. (1994). Daily living and study habits and the academic achievement of secondary school students in Hong Kong. Perceptual and Motor Skills, 79, 231-234. Ong, P. K., Liao, V., & Alimon, R. (2009). Moderating language and number of mathematical operations in the relationship between problem solving scores and learning strategies. TESOL Journal, 1, 58-78. Somuncuoglu, Y., & Yildirim, A. (1999). Relationship between achievement goal orientations and use of learning strategies. Journal of Educational Research, 92, 267-277. Svanum, S., & Bigatti, S. M. (2006). The Influences of Course Effort and Outside Activities on Grades in a College Course. Journal of College Student Development, 47(5), 564-577. Robbins, S., Davenport, M., Anderson, J., Kliewer, W., Ingram, K., & Smith, N. (2002). Motivational determinants and coping and academic behavior mediators of first year college adjustment: A prospective study. Manuscript submitted for publication. Robbins, S., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130, 261-288. Veenman, M. V. J., & Elshout, J. J. (1999). Changes in the relation between cognitive and metacognitive skills during the acquisition of expertise. European Journal of Psychology of Education, 15, 509–523. Wakefield J. A., Alston, H. L., Yom, B. L., & Doughtie, E. B. (1974). Related factors of the Survey of Study Habits and Attitudes and the Vocational Preference Inventory. Journal of Vocational Behavior, 5(2), 215-219. Zimmerman, B. J. (2000). Attaining self-regukation: A social cognitive perspective. In M. Bokaerts, P. Pintrich, & M. Zeidner (Eds.), Selfregulation: Theory, research and applications (pp. 13-19). Orlando. Transmittal Letter to Informants October 06, 2010