MAI: A Metacognitive AI Agent
How AI Supports Learning

MAI listens to students’ conversations during collaborative learning, identifies moments where they may need to pause and reflect, and gently prompts them to take charge of their own learning. By doing so, it encourages students to actively engage in self-regulated learning and develop stronger metacognitive skills.

Benefits for Educators

Developing metacognitive skills in both students and teachers is essential for effective teaching, navigating AI-enhanced learning environments, and empowering students to take control of their own learning.

Why This Case Matters

Collaborative learning helps students think, plan, and work together, but it’s not always easy. Students sometimes need help identifying their challenges and managing their own learning process. Meanwhile, teachers face the complex task of guiding several groups at once while handling the everyday dynamics of the classroom.

Smart Monitoring

MAI observes collaborative learning groups and detects key “trigger moments” when students need to recognize and regulate their own learning.

Enhanced Teaching Focus

By identifying challenges automatically, MAI allows teachers to concentrate on deeper, content-specific guidance and strategic support.

Advanced Student Strategies

With MAI’s assistance, students can develop higher-level learning strategies and improve their ability to manage their own progress.

Teacher Awareness

MAI also strengthens teachers’ understanding of self-regulated learning and their skills in supporting it effectively

Key Challenges

Supporting self-regulated learning (SRL) and socially shared regulation of learning (SSRL) during collaborative learning sessions can be difficult, as students may struggle to recognize challenges, coordinate effectively, and regulate their own learning without guidance.

Related Reading

- Teenage physics students in Finland give positive feedback for AI teaching agent

- LET Lab - Learning and Educational Technology Research Lab

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