MODELING STUDENTS' PERFORMANCE THROUGH POSITIVE APPROACH IN TEACHING PLANE TRIGONOMETRY

Authors

  • Mark Vincent T. Cortez Agusan del Sur State College of Agriculture and Technology
  • Ronel A. Ruta Agusan del Sur State College of Agriculture and Technology
  • Edward D. Morgadez Agusan del Sur State College of Agriculture and Technology

Keywords:

control, influence, acknowledge, positive approach, multiple linear regression

Abstract

The subject of plane trigonometry to students who do not have a very strong background in the fundamentals of mathematics is always challenging experience to the instructors. The study was conducted to model students’ performance through positive approach based on control, influence and acknowledge in teaching Plane Trigonometry. A survey checklist was administered to 160 randomly selected Plane Trigonometry students of Agusan del Sur State College of Agriculture and Technology during the first semester, 2017-2018. Weighted mean and multiple regression analysis were the statistical tools used in the study. The results revealed that Plane Trigonometry instructors occasionally utilized positive approach in teaching the subject with an average performance obtained by the students. However, positive approach as to control, influence and acknowledge predicted significantly students’ performance. Hence, it is recommended in the study that in order to be more effective in dealing the subject, as well as to increase the students’ academic performance, the teachers should enhance positively their teaching approach by way of remaining controlled in accomplishing the learning objectives of students, influencing an optimistic outlook and maintaining confidence in the ability of the students to succeed through diligent work and persistent effort, and acknowledging the value of students’ performance in the class.

References

Akey, TM. (2006). School Context, Student Attitudes and Behavior, and Academic Achievement: An Exploratory Analysis. Retrieved last November 5, 2017 at http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=
315E7D06D3E0B057279C277C5C447296?doi=10.1.1.152.834&rep=rep1&type=pdf

Michelli, M. (2013). The Relationship between Attitudes and Achievement in Mathematics among Fifth Grade Students. Honors Theses. Paper 126. The University of Southern Mississippi. Retrieved last November 5, 2017 at http://aquila.usm.edu/cgi/view content.cgi?article=1162&context=honors_theses

Bransford, J., Brown, A., and Cocking, R. (2000). How People Learn: Brain, Mind, Experience, and School. Washington, D.C.: National Academy Press. Retrieved last November 5, 2017 at https://www.nap.edu/catalog/6160/how-people-learn-brain-mind-experience-and-school

Carnellor, Y. (2004). Encouraging Mathematical Success for Children with Learning Difficulties. Southbank, VIC: Social Science Press. Retrieved last November 5, 2017 at https://www.bookdepository.com/Encouraging-Mathematical-Success-for-Children-with-Learning-Difficulties-Yvonne-Carnellor/9780170122085

Cortez, M.V., Alipante, A., and Lajato, D. (2017). Binary Logistic Model on Factors Affecting the Result of Licensure Examination for Teachers (LET). International Journal of Education. Vol. 5, No. 5, pp. 279-288. Retrieved last November 5, 2017 at http://www.ijern.com/journal/2017/May-2017/25.pdf

Enu, J., Agyman, O., and Nkum, D. (2015). Factors Influencing Students’ Mathematics Performance in Some Selected Colleges of Education in Ghana. European Centre for Research Training and Development UK. Vol. 3, No.3, pp. 68-74. Retrieved last November 5, 2017 at http://www.eajournals.org/wp-content/uploads/Factors-Influencing-Students----Mathematics-Performance-In-Some-Selected-Colleges-Of-Education-In-Ghana.pdf

Geary, D.C. (2004). Mathematics and Learning Disabilities. Journal of Learning Disabilities. 37, 4-15. Retrieved last November 5, 2017 at http://citeseerx.ist.psu.edu/ viewdoc/download?doi=10.1.1.413.1307&rep=rep1&type=pdf

Jitendra, A.K., Rodriguez, M., Kanive, R., Huang, J., Church, C., Conrroy, K.A., and Zaslofsky, A. (2013). Impact of Small-Group Tutoring Interventions on the Mathematical Problem Solving and Achievement of Third-Grade Students with Mathematics Difficulties. Learning Disability Quarterly, 36, 21-35. Retrieved last November 5, 2017 at http://jwilson.coe.uga.edu/EMAT7050/articles/JitendraEtAl.pdf

Lyon, R.G. (1996). Learning Disabilities. The Future of Children. Special Education for Students with Disabilities. Vol. 6. No. 1. Retrieved last November 5, 2017 at https://www.princeton.edu/futureofchildren/publications/docs/06_01_03.pdf

Mazzocco, M. (2007). Defining and Differentiating Mathematical Learning Disabilities and Difficulties. In D.
Berch & M. Mazzocco (Eds.), Why is Math so Hard for Some Children? The Nature and Origins of Mathematics Learning Difficulties and Disabilities. Baltimore, MD: Paul H. Brooks. pp. 29-47.

McLeod, S.A. (2008). Likert Scale. Retrieved last November 4, 2017 at www.simplypsychology.org/likert-scale.html

Osborne, J.W. and Overbay, A. (2004). The Power of Outliers (and Why Researchers should always Check for them). Practical Assessment, Research & Evaluation. Volume 9. Last retrieved on December 21, 2017 from http://pareonline.net/getvn.asp?v=9&n=6

Ogochukwu, N. (2010). Enhancing Students Interest in Mathematics via Multimedia Presentation. African Journal of Mathematics and Computer Science Research. Vol. 3(7), pp. 107-113. Retrieved last November 5, 2017 at http://www.academic journals.org/journal/AJMCSR/article-abstract/EFF4B0D8934

Paul, R.K. (2014). Multicollinearity: Causes, Effects and Remedies. Last retrieved on December 21, 2017 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1. 498.1478&rep=rep1&type=pdf
Reclaiming Youth Network (2007). The Circle of Courage Philosophy. Retrieved last November 5, 2017 at http://bit.ly/2fOReGF

Statistics Solutions. (2013a). Normality [WWW Document]. Last retrieved on December 21, 2017 from http://www.statisticssolutions.com/academic-solutions/resources/directory-of-statistical-analyses/normality/

Statistics Solutions. (2013b). Homoscedasticity [WWW Document]. Last retrieved on December 21, 2017 from http://www.statisticssolutions.com/homoscedasticity/.

Stenberg, L., Varua, M.E., and Yong, J. (2010). Mathematics Aptitude, Attitude, Secondary Schools and Student Success in Quantitative Methods for Business Subject in an Australian Catholic University Experience. 39th Australian Conference of Economists. Retrieved last November 5, 2017 at http://researchonline.nd.edu.au/cgi/viewcontent. cgi?article=1025&context=bus_conference

Wilson, D.L., and Conyers, M.A. (2015). Positively Smarter: Science and Strategies to Increase Happiness, Achievement, and Well-being. West Sussex, UK: Wiley Blackwell. Retrieved last November 5, 2017 at http://www.edutopia.org/blog/positive-brains-are-smarter-brains-donna-wilson-marcus-conyers

Yusuf, M. (2011). The Impact of Self-Efficacy, Achievement Motivation, and Self-Regulated Learning Strategies on Students’ Academic Achievement. Retrieved last November 5, 2017 at http://www.sciencedirect.com/science/article/pii/S187704281100704X

Published

2017-12-22