An Application of Social Network Analysis to Study Interconnection of Courses in Mathematics Education Curriculum

Abstract

Subject-matter or course content that is selected to be taught and learnt, including its scope and sequence are significantly one of the major components of any qualified curriculum. The objective of this research is to determine the significance of interconnection attributing to achievements by the undergraduate students of the Mathematics Education curriculum based on the Social Network Analysis. 159 online respondents supplied by the graduates during the academic year 2016–2018 are used in the study with results indicating strongly that Teaching Psychology, Graph Theory and Fundamental of Mathematics are reportedly vital courses upon which their contents if mastered properly would encourage and enable interconnection with others. Additionally, Fundamentals of Mathematics, Linear Algebra, and Graph Theory are found to be powerful courses while the Measurement and Evaluation in Learning Mathematics and Actions research in Mathematics combination can influence effect over the whole courses.