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Professor Rose Luckin breaks down complex AI in Education research into clear, practical insights through The Skinny Newsletter and What the Research Says. Here are a few highlights from her work—visit the EduVentures website for more.
The Intersection of Emotions, Self-Directed Learning (SDL), and Artificial Intelligence (AI) in education
Professor Rose Luckin (2025). Read more in What the Research Says
Insights:
Emotions shape learning outcomes: Programs focused on social-emotional learning can boost academic achievement. Emotional intelligence is strongly linked to success in school.
Learning is a shared emotional experience: Human learning evolved through cooperation and shared goals, as outlined in Tomasello’s theory of shared intentionality.
Self-directed learners need emotional skills: Navigating challenges in independent learning requires emotional regulation, persistence, and resilience.
AI can help—or hinder: AI can offer personalised support and safe learning spaces, but may also lead to dependency, shallow thinking, and reduced human connection.
Mixed early findings: Emerging research suggests AI may lower anxiety and promote adaptive behaviours, yet it might also weaken students' ability to self-monitor and reflect on their own learning.
The Role of Self-Directed and Self-Regulated Learning in an AI-Driven World
Professor Rose Luckin (2025). Read more in What the Research Says
Insights:
SDL and SRL are essential future skills: In an AI-driven world, learners must be able to take initiative, manage their progress, and adapt continuously. These are not just academic skills—they’re life skills.
Cognition, metacognition, and motivation work together: Effective learning relies on planning, strategy use, self-monitoring, reflection, and emotional resilience.
Technology enhances—but doesn’t replace—SDL: Tools like adaptive systems, learning analytics, and GenAI can personalise learning, offer feedback, and scaffold thinking—if used with purpose.
The role of educators is evolving: Teachers remain critical as facilitators, helping students develop AI literacy, set learning goals, and use technology intentionally.
GenAI holds promise and risk: While it can support motivation and strategy use, over-reliance may hinder self-monitoring and critical thinking. Personalisation must be balanced with learner agency.
Context and access matter: Effectiveness depends on learner readiness, tech design, implementation context, and equitable access. One size does not fit all.
K–12 learners need more support: Most research focuses on higher education. Younger students need guidance, structure, and scaffolding to build SDL capabilities.
The key challenge: Will AI be used to strengthen learner independence—or weaken it through automation and over-assistance?
Roger Azevedo: 20 Years of Research on Metacognition and AI in Education
Professor Rose Luckin (2025). Read more in What the Research Says
Insights:
Metacognition matters: Azevedo’s early work established planning, monitoring, and strategy use as key to learning success—especially in tech-based environments.
Teachers as metacognitive coaches: His research emphasises scaffolding, explicit strategy instruction, and think-alouds to build students’ self-regulation skills.
From fixed to adaptive support: Over time, Azevedo shifted focus from static digital tools to intelligent systems that respond to learners’ metacognitive states in real time.
Multimodal data expands understanding: Integrating eye tracking, log data, facial cues, and physiological signals offers richer insights into how students think and learn.
Games as metacognitive labs: Serious games now serve as powerful environments for observing and developing metacognitive behaviours like goal setting and strategy shifts.
Human-AI co-evolution: Azevedo envisions AI as a learning partner, not just a tool—adapting alongside learners to support growth.
Personalised learning is essential: His frameworks now target specific processes like Judgements of Learning and Feelings of Knowing, enabling tailored support.Equity and ethics must guide design: Cultural responsiveness, data privacy, and inclusive access are central to his current work.
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