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Human-in-the-Loop Framework for AI in Education by Dr. Sonia Tiwari

  • Yazarın fotoğrafı: Irmak Atabek
    Irmak Atabek
  • 25 Ara 2024
  • 2 dakikada okunur

The integration of Artificial Intelligence (AI) into education has transformed the way we approach learning, teaching, and administration. Yet, as AI continues to advance, there is an ongoing debate about how to balance the efficiency of automation with the nuanced human touch that defines meaningful education. Dr. Sonia Tiwari, a valued member of the KidsAI Consultants Hub, has provided critical insights into this challenge with her Human-in-the-Loop (HITL) Framework for AI in Education. This framework presents a structured approach to incorporating AI into educational environments while maintaining the irreplaceable role of educators. Below is Dr. Tiwari’s complete article, which explores the history, applications, and potential of HITL systems in education, culminating in a practical six-step framework.  

Human-in-the-Loop Framework for AI in Education: Combining Technology with Human Insight

Introduction

Background





Proposed Framework


Step 1: Needs Analysis

Step 2: Explore the Simplest Solution

Step 3: Assess If AI Is Needed

Step 4: Define Roles for Humans and AI

Step 5: Implement and Evaluate

Step 6: Revise and Iterate

Conclusion


Call to Action







  1. Xiao, L., & Peng, J. (2017). Research on the man-in-the-loop control system of the robot arm based on gesture control. Journal of Applied Physics, 45(2), 1–8. https://doi.org/10.1063/1.4977355

Closing Insights

Dr. Sonia Tiwari’s Human-in-the-Loop Framework reminds us that effective educational AI systems must complement, not replace, the expertise and empathy of human educators. By aligning technology with core human values, the HITL approach provides a pathway for ethical and impactful AI integration into classrooms. At KidsAI, we believe frameworks like HITL are essential for creating child-centered AI systems that prioritize learning, inclusivity, and development. This framework stands as a vital resource for educators, developers, and policymakers working to innovate responsibly in the realm of AI-driven education.

 
 
 

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