Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis
In this study, we present a large-scale descriptive analysis of the use of an AI-based learning assistant (Syntea) in higher education. Based on objective log data from 77,543 students enrolled in distance studies, we examine usage patterns across gender, age group, study cluster, degree, and study mode. To date, existing research on educational chatbots has largely relied on comparatively small samples and self-reported survey data, while large-scale evidence on actual usage behavior remains limited. Our findings show that Syntea is already embedded in the study routines of many learners, but
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 58%What's one thing AI does surprisingly well that you didn't expect? →
- PossiblePossibly related (embedding) · 55%CollegeConnekt Passport: AI that turns a conversation into a full Common App profile (activities, essays, college list) →
- PossiblePossibly related (embedding) · 54%aaronnat23/disp8ch →
- PossiblePossibly related (embedding) · 54%stackitcloud/rag-template →
- PossiblePossibly related (embedding) · 54%LibreChat or OpenWebUI ? →
- LinkedLinked via arxiv author · 85%Kristina Schaaff →
“Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis”
- LinkedLinked via arxiv author · 85%Quintus Stierstorfer →
“Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis”
- LinkedLinked via arxiv author · 85%Valerie Heckel →
“Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis”