TESTS IN MOODLE IN ENGINEERING EDUCATION - A PRE-STUDY IN THE FIELD OF LEARNING ANALYTICS

Abstract

Learning Analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs [1]. One of the sub-objectives in this research area is to make teaching and learning behaviour more individualized [2]. Students who complete test assignments in the Learning Management System Moodle [3] leave behind a data set or “digital fingerprint." These data sets provide a basis for a variety of investigations. Discussing analyses and results of a study of Moodle tests is the content of this paper. Online semester means that lectures and exercises were held live via videoconference during the Covid-19 pandemic. Classroom means that lectures and exercises were delivered live in the lecture hall. Mixed forms of the lecture, e.g., that part of the students participate in the lecture hall and part in the video conference, are not considered. The main questions investigated are: - What is the participation rate of students in Moodle tests and in the exam? - Are there differences between male and female students? - Are there differences between students in the first or second semester? - What are the differences between classroom and online semesters?. © Proceedings of the 24th International Conference on Engineering and Product Design Education: Disrupt, Innovate, Regenerate and Transform, E and PDE 2022. All rights reserved.