Enhancing STEM Learning with ChatGPT and Bing Chat as Objects to Think With: A Case Study
Project Overview
The document explores the role of generative AI, specifically ChatGPT and Bing Chat, in STEM education, highlighting its potential to enhance critical thinking, problem-solving skills, and understanding of complex concepts through a constructionist framework that prioritizes hands-on, experiential learning. Case study findings indicate that these AI tools significantly foster learner engagement and encourage reflective thinking, illustrating their effectiveness as educational aids. However, the document also addresses notable challenges, such as concerns regarding the accuracy of information provided by these AI systems and the potential decline in human interaction in the learning process. Overall, while generative AI presents promising applications in education, it necessitates careful consideration of its limitations to optimize its benefits for students.
Key Applications
ChatGPT and Bing Chat as objects-to-think-with
Context: STEM education, primarily targeted at secondary school students and educators in Brazil.
Implementation: Through a qualitative single-case study methodology, researchers simulated STEM learning experiences using GenAIbots during structured dialogues.
Outcomes: Enhanced reflective and critical thinking, creativity, and problem-solving skills among participants; improved comprehension of STEM concepts.
Challenges: Concerns about the accuracy and reliability of AI information and the potential for diminished human interaction.
Implementation Barriers
Technical
Issues related to the accuracy and reliability of AI-generated information.
Proposed Solutions: Integrating AI tools with collaborative learning and other educational activities to mitigate potential limitations.
Pedagogical
Challenges in crafting effective prompts for AI to ensure desired interactions.
Proposed Solutions: Providing comprehensive training to educators in prompt-crafting techniques.
Project Team
Marco Antonio Rodrigues Vasconcelos
Researcher
Renato P. dos Santos
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Marco Antonio Rodrigues Vasconcelos, Renato P. dos Santos
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