Enhancing Critical Thinking in Education by means of a Socratic Chatbot
Lucile Favero, Juan Antonio P\'erez-Ortiz, Tanja K\"aser, Nuria, Oliver

TL;DR
This paper introduces a Socratic chatbot based on small LLMs that promotes critical thinking in education by encouraging exploration and self-reflection through structured questioning, validated through simulated student interactions.
Contribution
It presents a novel Socratic questioning approach using fine and prompt-tuned small LLMs for critical thinking, enabling local deployment and privacy protection.
Findings
The Socratic tutor significantly improves critical thinking over standard chatbots.
It effectively encourages student reflection and exploration.
The approach is feasible on off-the-shelf hardware.
Abstract
While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking remains understudied. In this paper, we fill such a gap and present an innovative educational chatbot designed to foster critical thinking through Socratic questioning. Unlike traditional intelligent tutoring systems, including educational chatbots, that tend to offer direct answers, the proposed Socratic tutor encourages students to explore various perspectives and engage in self-reflection by posing structured, thought-provoking questions. Our Socratic questioning is implemented by fine and prompt-tuning the open-source pretrained LLM with a specialized dataset that stimulates critical thinking and offers multiple viewpoints. In an effort to democratize access and to protect the students' privacy, the…
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Taxonomy
TopicsAI in Service Interactions
