Early Warning Systems (EWS) in higher education accommodate student counsellors by identifying at-risk students and allow them to intervene in a timely manner to prevent student dropout. This study evaluates an EWS that shares student-specific risk information with student counsellors, which was implemented at a large Dutch university. A randomised field experiment was conducted to estimate the effect of EWS-assisted counselling on first-year student dropout and academic performance. The results show that the EWS accurately predicts at-risk students. Yet, EWS-assisted counselling did not reduce dropout, nor improved academic performance. Solving the underlying problem of poor academic performance might require additional actionable feedback and recommended counselling practices.

中文翻译：

---

高等教育中更有效的学生咨询的早期预警系统：来自荷兰实地实验的证据

高等教育中的早期预警系统 (EWS) 通过识别有风险的学生并允许他们及时干预以防止学生辍学来适应学生辅导员。本研究评估了一个与学生辅导员共享学生特定风险信息的 EWS，该 EWS 在荷兰一所大型大学实施。进行了一项随机现场实验，以估计 EWS 辅助咨询对一年级学生辍学和学业成绩的影响。结果表明，EWS 准确地预测了高危学生。然而，EWS 辅助咨询并没有减少辍学率，也没有提高学习成绩。解决学习成绩不佳的潜在问题可能需要额外的可操作反馈和推荐的咨询实践。