Harnessing generative AI in chemical engineering education: Implementation and evaluation of the large language model ChatGPT v3.5

 

Introduction

The integration of generative AI in chemical engineering education is revolutionizing learning methodologies. With the advent of large language models (LLMs) like ChatGPT v3.5, students and educators can leverage AI for enhanced learning experiences, problem-solving, and research assistance. This blog explores the implementation and evaluation of ChatGPT v3.5 in chemical engineering education, highlighting its benefits, challenges, and future potential.

Implementation of ChatGPT v3.5 in Chemical Engineering Education

1. Personalized Learning Assistance

ChatGPT v3.5 acts as an AI tutor, providing real-time explanations of complex chemical engineering concepts, including thermodynamics, reaction kinetics, and process control. By adapting to students' queries, it facilitates personalized learning paths.

2. Enhanced Computational Support

Generative AI assists students in solving mathematical models, performing unit conversions, and generating MATLAB or Python code for simulations. This enables better understanding and application of computational techniques in chemical engineering.

3. Virtual Laboratory Simulations

With AI-powered explanations, students can simulate laboratory experiments, analyze reaction mechanisms, and understand safety protocols without physical lab constraints. ChatGPT aids in interpreting experimental results and optimizing process parameters.

4. Research and Literature Review

ChatGPT v3.5 assists students in summarizing research papers, generating references, and providing insights into emerging trends in chemical engineering, such as sustainable energy solutions, nanotechnology, and process optimization.

5. AI-Powered Problem Solving

From heat transfer equations to mass balance calculations, ChatGPT provides step-by-step solutions, helping students understand the methodology behind solving engineering problems rather than just obtaining final answers.

Evaluation of ChatGPT v3.5 in Chemical Engineering Education

Advantages

  • Improved Accessibility: Students can access AI-powered assistance anytime, reducing dependence on fixed instructor availability.

  • Interactive Learning: Conversational AI fosters engagement by answering questions dynamically and adjusting explanations based on student comprehension.

  • Efficiency and Time Management: Automating tasks like report writing, data analysis, and coding saves time, allowing students to focus on critical thinking.

  • Bridging Knowledge Gaps: AI helps clarify doubts, reinforcing learning and supporting students who struggle with traditional teaching methods.

Challenges

  • Accuracy and Reliability: AI-generated responses may occasionally contain errors, requiring students to validate information from credible sources.

  • Lack of Hands-on Experience: While AI aids in theoretical understanding, practical laboratory skills still require direct experimentation.

  • Ethical Concerns and Plagiarism: Over-reliance on AI for report writing and assignments may lead to academic integrity issues.

  • Technical Limitations: AI tools may struggle with highly advanced chemical engineering computations requiring specialized software integration.

Future Prospects and Recommendations

To maximize the benefits of ChatGPT v3.5 in chemical engineering education, institutions should:

  • Integrate AI into curriculum design as a supplementary learning tool.

  • Train students to critically evaluate AI-generated content to enhance analytical skills.

  • Develop AI-powered interactive simulations and virtual labs for hands-on learning.

  • Establish ethical guidelines for AI usage in academia to prevent misuse.

Conclusion

Generative AI, particularly ChatGPT v3.5, is transforming chemical engineering education by enhancing learning, research, and problem-solving capabilities. While challenges exist, proper implementation and ethical considerations can help harness AI’s full potential, making chemical engineering education more accessible, interactive, and effective for students worldwide.

30th Edition of International Research Awards on Science, Health and Engineering | 28-29 March 2025|San Francisco, United States.

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