Artificial Intelligence Based Argumentation Framework for Critical Thinking Development

Main Article Content

Tanvi Shah

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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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. Retrieved from https://journals.mriindia.com/index.php/ijacte/article/view/1304
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Articles

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