#  Bridging Research and Practice through Evidence-Based Recommendations with Jimmy Kim 

 



   ![Jimmy Kim](/sites/g/files/omnuum3921/files/styles/hwp_1_1__360x360_scale/public/2025-07/james-kim-78017.jpg?itok=OqzszGqa) 

 

**The Challenge:** In the context of his advisory role for São Paulo's state-run schools, Kim identified a gap between existing educational research and its practical application in improving academic achievement through teacher coaching.

**The AI Solution:** Kim guided students to use GenAI to synthesize evidence and develop evidence-based recommendations for educational leaders. Students engaged AI to extract the three most crucial findings from a meta-analysis on teacher coaching, fostering an understanding of how to bridge theoretical concepts with actionable strategies. Additionally, students prompted AI to highlight the unique affordances of synthetic evidence that can empower practitioners in their roles.

**What Made It Work:** By using AI to distill research into clear, actionable insights, Kim's approach equipped students to better communicate critical findings to decision-makers in education. This method encouraged them to think critically about how research translates into practice, bolstering their analytical skills.

**Key Takeaway:** This case illustrates how AI can transform educational research into practical recommendations, allowing students to become effective communicators and contributors to school improvement initiatives.



 

 

 See also:- [ Teaching and Learning with Generative AI ](/categories/teaching-and-learning-generative-ai)
- [ AI in the HGSE Classroom ](/categories/ai-hgse-classroom)