Author:
Bjarne Kjær Ersbøll
Affiliation:
Technical University of Denmark, Denmark
Keyword(s):
Course Evaluation Questionnaire, Exam Grades, Multivariate Analysis, Factor Analysis, Stepwise Regression.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Assessment and Accreditation of Courses and Institutions
;
Assessment Software Tools
;
Computer-Aided Assessment
;
Computer-Supported Education
;
Course/Program Evaluation
;
e-Learning
;
e-Learning in Electrical, Mechanical, Civil and Information Engineering
;
Engineering Education and Ethics
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Learning Organizations
;
Learning/Teaching Methodologies and Assessment
;
Quality Assurance
;
Social Context and Learning Environments
;
Software Engineering
;
Software Project Management
;
Teacher Evaluation
Abstract:
Course evaluation data from courses at higher education is often given by students. Commonly the evaluations are given as questionnaires with discrete answers on a Likert scale. At the Technical University of Denmark this is done on a constant basis. However, the data is not used optimally. The standard way of displaying these data is as a histogram or frequency table of each question separately. The paper discusses various ways of enhancing the amount of information, which can be extracted. We consider factor analyses for grouping of the questions and regression analyses in order to relate questionnaire data to student outcome in the form of exam grades.