Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis

论文概要

研究领域: AI教育
作者: Kristina Schaaff, Quintus Stierstorfer, Valerie Heckel
发布时间: 2025-07-12
arXiv: 2507.08737

中文摘要

本研究对高等教育中AI学习助手（Syntea）的使用进行了大规模描述性分析。基于77,543名远程教育学生的客观日志数据，我们考察了不同性别、年龄组、学习集群、学位和学习模式下的使用模式。迄今为止，教育聊天机器人的现有研究大多依赖于相对较小的样本和自我报告的调查数据，而关于实际使用行为的大规模证据仍然有限。我们的发现表明，Syntea已经融入了许多学习者的学习日常，但使用方式因人口统计和结构背景而异。

原文摘要

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 that usage differs across demographic and structural contexts.

自动采集于 2025-07-13

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