Abstract
Individuals with autism increasingly enroll in universities, but researchers know little about how their study progresses over time towards degree completion. This exploratory population study uses structural equation modeling to examine patterns in study progression and degree completion of bachelor’s students with autism spectrum disorder (n = 101) in comparison to students with other recorded conditions (n = 2,465) and students with no recorded conditions (n = 25,077) at a major Dutch university. Propensity score weighting is applied to balance outcomes. The research shows that most outcomes (grade point average, dropout rates, resits, credits, and degree completion) were similar across the three groups. Students with autism had more no-shows in the second year than their peers, which affected degree completion after 3 years. The overall performance of autistic students appeared to be adequate and comparable to their peers. However, addressing participation and inclusivity is vital to improve academic support for students with autism. These insights can enable universities to develop appropriate and timely support for all talented students to progress in their studies and complete their degrees.
| Original language | English |
|---|---|
| Pages (from-to) | 1-26 |
| Number of pages | 26 |
| Journal | Higher Education |
| Volume | 85 |
| Issue number | 1 |
| Early online date | 12 Mar 2022 |
| DOIs | |
| Publication status | Published - Jan 2023 |
Bibliographical note
Funding Information:The corresponding author was financially supported by the Vrije Universiteit Amsterdam, Department of Student and Educational Affairs, The Netherlands. This study was not funded through any grant.
Publisher Copyright:
© 2022, The Author(s).
Funding
We thank Erna Klein Ikkink, Director of the Department of Student and Educational Affairs of the Vrije Universiteit, for supporting this research.
| Funders | Funder number |
|---|---|
| Erna Klein Ikkink |
Keywords
- Autism
- Degree completion
- Higher education
- Propensity score weighting
- Structural equation modeling
- Student retention