May 6, 2026
Contributing Author: Dr. Michelle Cleveland
The integration of artificial intelligence (AI) in education is most effective when aligned with high-impact instructional practices, particularly formative assessment and collaborative team structures. Across research, AI is consistently positioned not as a replacement for teaching, but as a tool that enhances professional decision-making, strengthens feedback systems, and supports collective efficacy.
Formative Assessment as the Foundation
A central finding across sources is that formative assessment drives student learning when it directly informs instruction. If assessment results do not guide next steps, they lose their impact.
The 90/90/90 research further identifies frequent assessment and timely feedback as essential practices in high-performing schools. AI strengthens these practices by:
- Generating aligned, targeted assessments
- Providing rapid analysis of student data
- Enabling immediate feedback loops
This allows teachers to adjust instruction in real time, creating more responsive and personalized learning experiences.
The Power of Collaborative Teams (PLCs/CLTs)
Research consistently highlights that collaborative learning teams are a key driver of improved student outcomes. When educators work interdependently to:
- Analyze standards
- Develop common assessments
- Examine student work
- Plan instruction and interventions
they create a shared responsibility for learning.
High-functioning teams operate around four essential questions:
- What do students need to learn?
- How will we know they learned it?
- How will we respond when they don’t?
- How will we extend learning for those who already know it?
AI enhances this process by organizing data and surfacing patterns, but it cannot replace the professional dialogue, trust, and collective efficacy that make collaboration effective.
Feedback: The Instructional Multiplier
One of the highest-impact practices in education is effective feedback. Research defines high-quality feedback as:
- Fair
- Accurate
- Specific
- Timely
AI supports this by accelerating feedback cycles and helping teachers provide more consistent responses. However, teacher expertise remains critical to ensure feedback is meaningful and aligned to learning goals.
The Role of AI: Enhance, Not Replace
Across all sources, a consistent message emerges: AI is most powerful when it supports strong instruction—not when it replaces it.
Effective implementation includes:
- Maintaining teacher judgment as the final decision-maker
- Using AI to increase efficiency, not dependency
- Aligning AI use with instructional goals and student learning
Key Takeaways
- Formative assessment + feedback loops are the core drivers of learning.
- Collaborative teams ensure consistent, data-informed instructional decisions.
- AI amplifies efficiency and insight, but human expertise remains essential.
- Student learning improves most when these elements are integrated—not isolated.
References
DuFour, R., DuFour, R., Eaker, R., Many, T., Mattos, M., & Muhammad, A. (2021). PLC at Work: A practitioner’s guide to learning communities at work (3rd ed.). Solution Tree Press.
Reeves, D. (2026). Education and the ethics of AI: Enduring values in a changing world. Solution Tree Press.
Reeves, D., et al. (2025). Fearless instruction: High-impact strategies inspired by 90/90/90 schools. Creative Leadership Press.