Predicting academic success of autistic students in higher education.

ABSTRACT:

Laymen summary

What is already known about the topic?Autistic youths increasingly enter universities. We know from existing research that autistic students are at risk of dropping out or studying delays. Using machine learning and historical information of students, researchers can predict the academic success of bachelor students. However, we know little about what kind of information can predict whether autistic students will succeed in their studies and how accurate these predictions will be.What does this article add?In this research, we developed predictive models for the academic success of 101 autistic bachelor students. We compared these models to 2,465 students with other health conditions and 25,077 students without health conditions. The research showed tha

SUBMITTER: Bakker T 

PROVIDER: S-EPMC10374996 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature