Ed-Technical
Coach or Crutch?: Using AI to hone self regulation (not outsource it)
May 6, 2025
Inge Molenaar, a Professor of Education & AI at Radboud University, shares insights on the critical role of self-regulated learning (SRL) in education. They discuss how AI can serve as a coaching tool rather than a crutch, enhancing students' ability to monitor their own learning. The conversation dives deep into the need for careful AI design, fostering independence, and ensuring technology supports, rather than diminishes, student autonomy. Inge also weighs in on navigating personal AI use for effective learning.
30:43
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Quick takeaways
- Self-regulated learning involves students setting and monitoring their own goals, fostering independence and metacognitive awareness in their education.
- AI has the potential to enhance self-regulated learning by providing tools for feedback and visualization, but must not replace students' autonomy.
Deep dives
Understanding Self-Regulated Learning
Self-regulated learning (SRL) involves students actively setting their learning goals, monitoring their progress, and adjusting strategies to achieve those goals. This process goes beyond mere perseverance and grit; it incorporates metacognitive awareness, where students reflect on their understanding and recognize when they are confused. Effective SRL requires a delicate balance between executing tasks and assessing one's cognitive processes during learning, such as identifying when to seek help or ask questions. Ultimately, this type of learning fosters greater independence as students mature, aligning with their developmental needs in education.
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