CEQ: Correlation between Education Parameters and their Influence on the ‘Good teaching’ Scale

Authors

  • Rasmus Andersson
  • Oleksandr Gutnichenko
  • Johan Isaksson
  • Nebojša Malešević
  • Gautham Nayak Seetanadi

Keywords:

Course Evaluation Questionnaire, CEQ, Teaching in higher education, Summative assessment

Abstract

Summative course evaluation is an important activity to assess how well a course was perceived by the students. The Course Evaluation Questionnaire is a standardized tool which allows such evaluation on a large scale and in a well‐structured way. In this work we evaluate how various parameters of it affect the “Good teaching” scale – an indicator of the teaching quality of a course – especially in the scope of the Faculty of Engineering at Lund University. A correlation analysis, as well as a decision tree‐based machine learning analysis was performed in order to identify potential, possibly unintended, influencers on foremost the “Good teaching” scale. An adequate accuracy of the decision tree‐classifier of 80 % for the three considered departments was achieved. Further, a high correlation of the scales of “Good teaching” and “Clear goals and standards” was found, as was a clear link between “Good teaching”, “Appropriate Assessment”, and “The course seems important for my education”. Several severely correlated items were identified as well, and suggestion on their removal are proposed.

Published

2019-05-31