Enhancing Studysuccess in Dutch Vocational and Higher Education
About
Irene Eegdeman was born in Middelburg, The Netherlands. After completing high school, she went to study at the University of Applied Sciences ‘Fontys Sporthogeschool’ in Tilburg. The next step was to graduate from the Master Human Movement Sciences at the Vrije Universiteit Amsterdam and, while completing this Master’s degree, she started working at the Sportacademy Amsterdam, the vocational education institute which was also subject of her dissertation.
While working at the Sportacademy Amsterdam, Irene was confronted with the high dropout rate of students. As befits a curious researcher, she wanted to know where this dropout came from and whether dropout can be predicted (and prevented). This curiosity resulted an application for the NWO doctoral grant for teachers. The grant was rewarded to Irene and her supervisors prof.dr. Martijn Meeter and prof.dr. Chris van Klaveren in 2016. As with most research, the more research is done, the more questions remain. Student dropout is still a major social problem and Irene is dedicated to continuing her research and contributing to solutions that empower all students to succeed.
Bakker, T.C., de Kraker, C.C., Eegdeman, I.M., Saçan, E., & van Leeuwen, A. (2024). AI en kansengelijkheid. Visie op de impact van AI op kansengelijkheid in het vervolgonderwijs (pp. 1–56). Utrecht. Npuls. https://npuls.nl/kennisbank/ai-en-kansengelijkheid/
Scientific publications (1)
Eegdeman, I. M. (2023). Enhancing Study Success in Dutch Vocational Education. [PhD-Thesis - Research and graduation internal, Vrije Universiteit Amsterdam]. https://doi.org/10.5463/thesis.100
Eegdeman, I., Cornelisz, I., Meeter, M., & Klaveren, C. Van. (2022). Identifying false positives when targeting students at risk of dropping out dropping out. Education Economics, 1–13. https://doi.org/10.1080/09645292.2022.2067131
Eegdeman, I., Cornelisz, I., van Klaveren, C., & Meeter, M. (2022). Computer or teacher: Who predicts dropout best? Frontiers in Education, 7(November), 1–10. https://doi.org/10.3389/feduc.2022.976922
Eegdeman, I., Meeter, M., & Van Klaveren, C. (2018). Cognitive skills, personality traits and dropout in Dutch vocational education. Empirical Research in Vocational Education and Training, 10(11), 18. https://doi.org/10.1186/s40461-018-0072-9
Eegdeman, I., van Klaveren, C., & Meeter, M. (2020a). Assessing Guidance Styles in Upper Secondary Vocational Education: Can Teachers Differentiate on the Basis of Assessed Style? Frontiers in Education, 4(February), 1–11. https://doi.org/10.3389/feduc.2019.00155
Eegdeman, I., van Klaveren, C., & Meeter, M. (2020b). Content expectations and dropout in Dutch vocational education. Empirical Research in Vocational Education and Training, 12(9), 1–23. https://doi.org/10.1186/s40461-020-00096-7
Van der Does, H., Eegdeman, I., Elzerman, J. R., & Toussaint, H. M. (2011) Hoe intensief trainen zwemmers? Sportgericht, 65(3), 33-37.
Lezing studiedag CURIO Breda: Key-Note: Het vergroten van studiesucces in het mbo
Kwaliteitsnetwerk mbo: Het vergroten van studiesucces in het mbo
Opening schooljaar NOVA College Zijlweg: Key-Note: Aanpakken van uitval, wanneer moet je eigenlijk beginnen?
Onderwijs Research Dagen 2024: Relating Students’ Motivation Trajectories in the First ten Nine weeks of their Vocational Education Program to the Decision to Persis
CvI conferentie 2024:
MBO Talk Aanpakken van uitval, wanneer moet je eigenlijk beginnen?
De uitnodigingsregel: van replicatie naar implementatie
Promoveren in het mbo, waar moet je beginnen?
NWO informatie sessie promotiebeurs voor leraren: Hora-Est
BiOND congres: Studiesucces in het mbo
Symposium Learning Analytics Rijksuniversiteit Groningen met NPuls
2023
Landelijke Practoratendag: Impact maken met onderzoek.
Kennishub VSV Roc van Amsterdam-Flevoland: Uitval voorspellen en voorkomen door nog betere begeleiding
NWO Laureatendag: Hora Est!
CvI Conferentie: Studentuitval in het mbo
LEARN Conference: Relating Students’ Motivation Trajectories in the First ten Nine weeks of their Vocational Education Program to the Decision to Persist
Presentations (1)
2022
SFUVET congress The Future Potential of Vocational Education and Training; Strengthening VET for the next generation: Computer vs. teacher, who predicts dropout best?
LEARN Conference: Computer vs. teacher, who predicts dropout best?
2021
MBO Onderzoeksdag: Docent versus Computer; kan een docent beter studie uitval in het mbo voorspellen dan een machine learning model (of kunnen ze ook samenwerken)?
Onderwijs Research Dagen: Verwachtingen in het MBO, verschillen uitvallers van niet-uitvallers?
2020
EARLI SIG14 Conference 2020 Barcelona (cancelled): Expectations and Study Success in Vocational Education
2019
MBO Onderzoeksdag: Studentuitval in het mbo. Zullen we ooit de échte redenen kunnen achterhalen en uitval kunnen voorspellen?
2018
EARLISIG 1: Cognitive Skills, Personality Traits and dropout in Vocational Education
2nd Annual Learning & Student Analytics Conference (LSAC 2018) Dropout in Vocational Education, Early Warning Systems and Machine Learning
