ECER 2018
session provided by 22. Research in Higher Education
Students at Risk: How to avoid drop-outs
22 SES 07 B
Paper Session
- Early Detection of Students at Risk - Predicting drop-out in higher education by using Administrative Student Data and Machine Learning
Johannes Berens Simon Oster Kerstin Schneider
- How to prevent engineering students from dropout? Suggestions based on an empirical study of students’ competencies
Zita Tordai Ildikó Holik
- Are There Cheating Preservice Teachers In Our Midst?
Sylvie Fontaine Marie-Hélène Hébert Martine Peters Nicole Monney Nathalie Loye Sébastien Béland
Update Modus of this Database
The current conference programme can be browsed in the conference management system (conftool) and, closer to the conference, in the conference app.
This database will be updated with the conference data after ECER.
Search the ECER Programme
- Search for keywords and phrases in "Text Search"
- Restrict in which part of the abstracts to search in "Where to search"
- Search for authors and in the respective field.
- For planning your conference attendance, please use the conference app, which will be issued some weeks before the conference and the conference agenda provided in conftool.
- If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.