Artificial Intelligence Based Argumentation Framework for Critical Thinking Development

Read full text
Authors: Tanvi Shah
Cited by: 1

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.

Fields of Study & Subjects

Education and Critical Thinking Development Intelligent Tutoring Systems and Adaptive Learning Innovative Teaching and Learning Methods

Publication details

Journal / source
International Journal on Advanced Computer Theory and Engineering
Publisher
Researcher Connect Innovation and Impact Private Limited and MRI
Volume
15
Issue
1S
Pages
66–76
Publication date
18 January 2026