AI in Schools: Identifying At-Risk Students, But Not Replacing Human Intervention

by | Nov 13, 2025 | albertpham, Technology | 0 comments

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Introduction

Artificial Intelligence (AI) is increasingly being used in the education sector in Quebec. Several school service centers and school boards are testing algorithms designed to identify students at risk of dropping out of school, according to a recent report by La Presse. While this AI can highlight “vulnerable” students, it does not yet replace human intervention or support strategies.

This article explores how AI is applied in schools, its potential benefits, limitations, and the broader implications for the education system.


How the AI Tool Works

  • The Ministry of Education has contributed to developing a predictive algorithm that is now being used across multiple school boards in Quebec.

  • The AI analyzes various data points, such as academic performance, attendance, tardiness, and possibly demographic factors or past educational trajectories, to identify students at higher risk of dropping out.

  • The primary goal is early detection, providing educators and administrators with a tool for prioritizing interventions. Think of it as a proactive alert system for student well-being.


Benefits of AI in Education

  1. Early Identification: AI can process large datasets efficiently, detecting patterns that human monitoring alone might miss or detect later.

  2. Data-Driven Insights: The algorithm transforms raw school data into actionable insights for teachers and counselors.

  3. Decision Support: AI does not make decisions for educators but serves as a support tool. It helps professionals focus attention where it is most needed.

As François Fournier, a researcher in the field, points out: “What does this bring us? Will we identify more students? Will it be more accurate?”


Challenges and Limitations

  • Detection vs. Intervention: Identifying at-risk students is only part of the solution. Effective support and follow-up are essential.

  • Human Context Matters: AI cannot fully understand complex family, social, or emotional factors influencing dropout risk.

  • Ethical Considerations: Collecting sensitive student data raises privacy concerns. Questions arise around access, consent, and potential stigmatization.

  • Resource Constraints: Detection is ineffective if schools lack counselors, support programs, or mentorship initiatives.

  • Potential for Alarm Without Action: Without a clear intervention plan, AI may only generate warnings rather than tangible solutions.


Implications for Schools

For AI tools to have a meaningful impact, school administrators should:

  • Train Educators: Teachers, counselors, and administrators need guidance on using AI effectively and understanding its limitations.

  • Define Intervention Pathways: Clear plans must follow identification, ensuring every at-risk student receives personalized support.

  • Ensure Transparency and Ethics: Inform students and parents about data usage, safeguarding privacy and ethical standards.

  • Measure Effectiveness: Establish metrics to evaluate if AI actually contributes to reducing dropout rates.

  • Promote Equity: Algorithms should be monitored to avoid amplifying existing inequalities related to socioeconomic status, geography, or minority groups.


Why This Matters Now

School dropout remains a critical issue in Quebec, affecting both individual life outcomes and societal costs. AI introduces opportunities for early detection and efficient resource allocation. However, its value depends entirely on the human follow-up that accompanies it.

As the La Presse article emphasizes: “Identifying students at risk is important—but helping them graduate is even more crucial.”


Conclusion

Using AI to identify students at risk of dropping out is a promising technological advancement. Yet, its effectiveness relies on the integration of human-centered intervention strategies. Without proper follow-up, AI risks becoming a passive alert system rather than a tool that actively supports student success.

In education, technology should augment human expertise, not replace it. AI is a guide, a decision-making assistant—but real change comes from human-led support and intervention.

Source: La Presse

Written By Albert Pham

Written by Albert Pham, News Curator and Blogger

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