Large-Scale Analysis of AI Learning Assistant Usage in Higher Education.

A comprehensive descriptive analysis has been conducted on the usage of an AI-based learning assistant, Syntea, within higher education. This study stands out due to its large scale, examining objective log data from 77,543 distance learning students, a significant departure from previous research that often relied on smaller samples and self-reported survey data. The research aimed to understand actual usage patterns across various demographic and structural contexts, including gender, age group, study cluster, degree level, and study mode. The findings indicate that Syntea is already integrated into the study routines of many learners, suggesting its growing acceptance and utility in academic settings. However, the study also revealed notable differences in usage across the identified demographic and structural categories. This empirical basis is crucial for the informed development and refinement of future AI-powered learning support systems, enabling educators and developers to tailor solutions more effectively to diverse student needs.