A New Score Generation Algorithm for Student Concept Map Evaluation. (December 2018)

• Record Type: Journal Article
• Authors: Mukhopadhyay, Aashijit; Sur, Sneharshi; Ghosal, Akash; Acharya, Anal
• Is Part Of: Journal of educational technology systems. Volume 47:Number 2(2018)
• Page Start: 267
• Page End: 286
• Publication Date: 2018-12
• Subjects: concept map -- node importance value -- path importance value -- level importance factor -- multivariate regression; Educational technology -- Periodicals; Teaching -- Aids and devices -- Periodicals; 371.33
• DOI: 10.1177/0047239518791256
• Languages: English
• ISSNs: 0047-2395

Abstract

This article presents a new score generation algorithm to compute the accuracy of student concept maps in comparison to teacher maps. The algorithm follows a compare and remove method to remove the extra vertices and wrong edges of student concept map with respect to teacher map. A group of 230 students were taken to generate student maps on a pretaught chapter for finding multivariate regression coefficients for different independent factors incorporated in the study. It was found that there exists a positive correlation between the score obtained by the students and the degree of knowledge acquired by him while constructing concept maps.