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Academic Session ACA11

Moodle LMS Data Used in Predictive Analysis to Indicate Students Likely to Interrupt Studies

Date Thursday, Dec 1  Time   –    Room Potsdam I

Is it possible to predict which students are in real danger of interrupting or dropping out from their studies before it’s too late? This presentation gives insight into how LMS data can be used to detect and predictively prevent study interruptions.

OEB speaker Lasse Seppänen

Lasse Seppänen

Principal Lecturer, Häme University of Applied Sciences (HAMK), Finland

Moderator

OEB speaker Nives Kreuh

Nives Kreuh

Senior Consultant, E-learning, National Education Institute, Slovenia