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Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach

Project Overview

The document explores the integration of generative AI in education, specifically through the implementation of a chatbot called MEGA (Math Explorer & Guidance Assistant), designed to enhance mathematical problem-solving skills. This innovative, reward-based learning approach encourages students to engage deeply with mathematical problems, fostering a structured learning experience that prioritizes mastery over the pursuit of quick answers. By promoting responsible AI use, the method addresses the potential pitfalls of over-reliance on chatbots, which may impede foundational learning. The interactive nature of this approach, combined with rewards for achieving mastery, aims to improve students' understanding and engagement in mathematics, ultimately enhancing their overall educational outcomes.

Key Applications

MEGA: Math Explorer & Guidance Assistant

Context: Mathematics education for students in K-12 and higher education.

Implementation: Developed a multimodal chatbot using OpenAI's GPT-4o model that allows users to input text or images of math problems. The chatbot engages users through a step-by-step problem-solving approach.

Outcomes: Enhanced student engagement, improved problem-solving skills, and a better understanding of mathematical concepts through a structured learning process.

Challenges: Resistance to changing learning habits, potential over-reliance on AI tools, and ensuring ethical use of AI in educational contexts.

Implementation Barriers

Cognitive Barrier

Students may rely on AI for quick answers, undermining their learning process.

Proposed Solutions: Implement reward-based systems that require students to solve problems progressively to receive the final answer.

Ethical Barrier

Concerns about academic integrity and the ethical use of AI tools in education.

Proposed Solutions: Promote responsible AI usage and educate students on the importance of engaging with material rather than seeking shortcuts.

Project Team

Aditi Singh

Researcher

Abul Ehtesham

Researcher

Saket Kumar

Researcher

Gaurav Kumar Gupta

Researcher

Tala Talaei Khoei

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Aditi Singh, Abul Ehtesham, Saket Kumar, Gaurav Kumar Gupta, Tala Talaei Khoei

Source Publication: View Original PaperLink opens in a new window

Project Contact: Dr. Jianhua Yang

LLM Model Version: gpt-4o-mini-2024-07-18

Analysis Provider: Openai

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