On Eigenvalue And Eigenvector Perceptions of Undergraduate Pre-service Mathematics Teachers

Author:

YILMAZ Şerife1

Affiliation:

1. BURDUR MEHMET AKİF ERSOY ÜNİVERSİTESİ

Abstract

Analysis of systems that can be expressed in matrices is very important in the field of application. Whether such a system works properly is determined by eigenvalues of the matrix representing the system. Eigenvalue and eigenvector concepts are taught within the scope of linear algebra course at undergraduate level. In this study, perceptions of undergraduate students who took the linear algebra course about the eigenvalue-eigenvector concepts are investigated. The research is conducted with the participation of 95 students from the Faculty of Education, Department of Mathematics Education. A scale measuring the students’ approached about eigen theory was developed. For the reliability of the scale, Kuder-Richardson 20 (KR-20) reliability analysis was done and 0,72 was obtained. To see the relationship between learning outcomes and academic achievement is used the chi-square test and descriptive analysis are made in the study. Problems arising in the perception of eigenvalue and solutions are presented.

Publisher

Necatibey Faculty of Education Electronics Journal of Science and Mathematics Education

Subject

General Medicine

Reference24 articles.

1. Bretscher, O. (2013). Linear algebra with applications (5th ed.), Pearson.

2. Brousseau, G. (1998). La théorie des situations didactiques. La Pensée sauvage éditeur, Grenoble, France.

3. Burden, Richard L., & Douglas Faires, J. (1993). Numerical analysis (8th ed.), Boston: Prindle, Weber and Schmidt.

4. Carlson, D. (1993). Teaching linear algebra: must the fog always roll in? College Mathematics Journal, 24(1), 29-40.

5. Dorier, J. L. (1998). The role of formalism in the teaching of the theory of vector spaces. Linear Algebra and its Applications 275-276, 141-160.

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