Simone Plak- Master of Science
- PhD Student at Vrije Universiteit Amsterdam
Simone Plak
- Master of Science
- PhD Student at Vrije Universiteit Amsterdam
PhD student at VU Amsterdam
About
5
Publications
8,231
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137
Citations
Introduction
My PhD research regards modeling learning and intelligence, and evaluating learning analytics and nudging interventions in higher education with respect to student participation and retention. My other research interests include online (adaptive) learning, and motivation with respect to learning.
Current institution
Additional affiliations
August 2018 - September 2022
Publications
Publications (5)
Participation in educational activities is an important prerequisite for academic success, yet often proves to be particularly challenging in digital settings. Therefore, this study set out to increase participation in an online proctored formative statistics exam by digital nudging. We exploited targeted nudges based on the Fogg Behaviour Model, h...
en Early Warning Systems (EWS) in higher education accommodate student counsellors by identifying at‐risk students and allow them to intervene in a timely manner to prevent student dropout. This study evaluates an EWS that shares student‐specific risk information with student counsellors, which was implemented at a large Dutch university. A randomi...
Due to the COVID-19 pandemic, many institutions of higher education had to close their campuses and shift to online education. Here, we investigate how stay-at-home orders impacted students. We investigated results obtained by 15,125 bachelor students at a large Dutch research university during a semester in which the campus was closed and all educ...
Early Warning Systems (EWS) accommodate student counselors by identifying at-risk students and allow them to intervene timely and prevent student dropout. This paper evaluates an EWS that shares student-specific risk information with student counselors, which was implemented at a large Dutch university. A randomized field experiment was conducted t...
Early Warning Systems (EWS) accommodate student counselors by identifying at-risk students and allow them to intervene timely and prevent student dropout. This paper evaluates an EWS that shares student-specific risk information with student counselors, which was implemented at a large Dutch university. A randomized field experiment was conducted t...
