engleski

Analysing Students' Behaviour Patterns in Online Assessment

The aim of the study was to discover students’ behaviour patterns based on the data recorded in a learning management system and the links to their results achieved in a specific e-learning course. In order to identify behavioural patterns during formative online assessment test (multiple access allowed), the collected data are analysed both within and between two generations of students who participated in the e-courses. The students in 2016/17 accessed the e-course more often, achieved better results and accessed the content of the e-course to a greater extent. At the same time, for the same generation, fewer test attempts are noted. Based on the insight into the structure of the content that students have accessed, the best results are particularly positively linked with access to different e-course content.

online assessment, students' behaviour patterns, educational data mining, learning analytics

nije evidentirano