MRI
MRI India Journals Vol. 15 No. 1S (2026): Special Issue on Cognition, Human and Artificial Intelligence

Artificial Intelligence Based Argumentation Framework for Critical Thinking Development

Authors

  • Tanvi Shah Department of Technology, Savitribai Phule Pune University, Pune, 411007.

DOI:

https://doi.org/10.65521/ijacte.v15i1S.1304

Keywords:

Artificial Intelligence (AI) Argumentation Training Systems Critical Thinking Development Adaptive Learning Debate-Based Education.

Abstract

In academic, professional, and civic contexts, the development of critical thinking and reasoning skills are essential. Despite the success, traditional debate-based education methods have drawbacks such limited scalability, subjective evaluation, and teacher availability. The development of AI-powered argumentation training systems that provide adaptive feedback, replicate various debate scenarios, and thoroughly evaluate student progress has been made possible by recent advancements in artificial intelligence (AI). In the present works, methods, effectiveness, and limitations of the current research on AI-enabled systems are examined. The application software examines problems with system design, evaluation, and accessibility while highlighting current trends and pointing out weaknesses in existing methods. The application software will help to impact future research directions and result in the development of more efficient, scalable, and customized critical thinking tools.

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Published

2026-01-18

How to Cite

Shah , T. (2026). Artificial Intelligence Based Argumentation Framework for Critical Thinking Development . International Journal on Advanced Computer Theory and Engineering, 15(1S), 66–76. https://doi.org/10.65521/ijacte.v15i1S.1304

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