Teachers’ Competence, Classroom Environment, Learning Style of Students: A Structural Model on Mathematical Ability

Authors

DOI:

https://doi.org/10.12928/ijeme.v6i1.21215

Keywords:

Mathematics education, Teachers competence, Classroom environment, Learning style, Mathematical ability

Abstract

The study was conducted to develop the best fit model of mathematical ability.  Specifically, it established the relationship among teachers’ competence, classroom environment, learning styles, and mathematical ability. Descriptive, correlational and causal comparative designs were utilized in this study.  The data were gathered from senior high school students. Moreover, sets of adopted survey questionnaires were used as instruments to obtain information from the participants. Mean, Pearson product moment correlation, multiple regression analysis and structural equation modeling were the statistical tool used.  The findings revealed that reflector and activist learner and role of students/peers found to be significant predictors of mathematical ability.  The best fit model of mathematical ability is best predicted by their learning styles and the classroom environment. The model suggests that that the more structured the learning style coupled with a conducive classroom environment the better the mathematical ability of the students.

Author Biography

Mervin Amba Osic, University of Mindanao

College Professor II

Department of Teacher Education

References

Abbott, S. (Ed.), (2014). Classroom Management. The Glossary of Education Reform (Website). Retrieved from http://edglossary.org/classroom-management.

Adeyemo, S. A. (2010). Students ability level and their competence in problem solving task in physics. International Journal of Educational Research and Technology, 1(2), 35-47.

Akey, T. M. (2006). School Context, Student Attitudes and Behavior, and Academic Achievement: An Exploratory Analysis. MDRC.

Ali, N., Ali, S., Jusoff, K., & Salamat A. S. (2009). The Factors Influencing Students’ Performance at Universiti Teknologi MARA Kedah, Malaysia. Canadian Research & Development Center of Sciences and Cultures.

Allen, D., & Fraser, B. J. (2007). Parent and student perceptions of classroom learning environment and its association with student outcomes. Learning Environments Research, 10, 67-82.

Analoui, F. (1995). Teachers as managers: an exploration into teaching styles. International Journal of Educational Management, 9(5), 16-19.

Ashby, J., Sadera, W. A., & McNary, S. W. (2011). Comparing student success between developmental math courses offered online, blended, and face-to-face. Journal of Interactive Online Learning, 10(3).

Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2), 191.

Basque, J., & Dare, S. W. (1998). Environment and apparatuship information. Journal of distance education, 13(1), 626-638.

Bosque, R. & Dore. (1998). Impact of Family Environment on Academic Achievement of Secondary School Students in Science Subject. International Journal of Research in Economics & Social Sciences.

Batomalaque A. E. (2012). Basic science development program of the Philippines for international cooperation. Retrieved from http://www. criced.tsukuba.ac.jp/pdf/09_Philippines_Antonio.pdf.

Corpuz, B. B. (2007). Facilitating learning: a metacognitive process. Lorimar Publishing.

Curry, L. (1981). Learning preferences in continuing medical education. Canadian Medical Association Journal, 124, 535–6.

Dunn, K. & Dunn, R. (1987). Teaching student through their individual learning styles: A practical approaches. Reston Publishing Company.

Gross, D. (2013). Academic Performance: A healthy home environment. Carfax Publishing.

Idris, N. (2005). Pedagogi dalam pendidikan matematik. Utusan Publications and Distributions.

Kolb D. A. (1984). Experiential learning: experience as the source of learning and development. Prentice Hall.

Kolb, D. A. (1999). The learning style inventory (version 3). Hay Group.

Lopez, A. D. (2007). The relationship between continuing professional development and demographic characteristics, professional practices, and employment conditions of school psychologists. University of South Florida.

MacKenzie, S. B., Paine, J. B., & Bachrach, D. G. Podsakoff, P. M. (2000). Organizational citizenship behaviors: A critical review of the theoretical and empirical literature and suggestions for future research. Journal of Management, 26(3), 513-563.

Medley, D. M., and Shannon, D. M. (1994), Teacher evaluation. In T. Husén and T. N. Postlethwaite (eds), The International Encyclopedia of Education, 2nd ed (vol X). Pergamon.

Natarajan, R. (2014). Proceedings of the international conference on transformations in engineering education:. Retrieved from http://www.springer.com/gp/book/9788132219309

Oxford, R. L. (2011). Strategies for learning a second or foreign language. Language Teaching.

Polya, G. (1985). How to Solve It. Princeton University Press.

Reid, J. (1987). The learning style preferences of ESL students. TESOL Quarterly.

Salandanan, G. G. (2005). Teaching and the Teacher. Lorimar Publishing Company.

Sarabdeen, J. (2013). Learning styles and training methods. Communications of the IBIMA.

Siddiqui, M. A. (2009). National curriculum framework for teacher education. National Council for Teacher Education, New Delhi.

Tella, A. (2008). Teacher Variables As Predictors of Academic Achievement of Primary School Pupils Mathematics. International Electronic Journal of Elementary Education, 1(1).

Turesky, E. F., & Gallagher, D. (2011). Know thyself: Coaching for leadership using Kolb’s experiential learning theory. The Coaching Psychologist

Vogrinc, J., & Zuljan, M. V. (Eds.). (2010). Facilitating effective student learning through teacher research and innovation. Faculty of Education.

Vygotsky, L.S. (1962). Thought and Language. MIT Press.

Wade, B. & Moore, M. (2000). A sure start with books. Early Years.

Walberg, H. J. (1980). A psychological theory of educational productivity.

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Published

2023-01-24

How to Cite

Osic, M. A. (2023). Teachers’ Competence, Classroom Environment, Learning Style of Students: A Structural Model on Mathematical Ability. International Journal on Emerging Mathematics Education, 6(1), 77–88. https://doi.org/10.12928/ijeme.v6i1.21215

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