Elementary School Students' and Teachers' Perceptions Towards Creative Mathematical Writing with Generative AI
Project Overview
The document explores the integration of generative AI (GenAI) in elementary education, particularly in enhancing creative mathematical writing. It underscores the advantages of leveraging GenAI to aid students in articulating mathematical ideas creatively, while also acknowledging the potential drawbacks, including overreliance on AI-generated content and the necessity for social interactions in learning environments. The findings suggest that, despite its benefits, careful consideration is needed to ensure that GenAI tools align with educational objectives and promote meaningful student-teacher-AI interactions. Critical evaluation of AI outputs is emphasized to foster independent thinking and to mitigate challenges related to reliance on technology. Overall, the document advocates for a balanced approach to incorporating GenAI in educational settings, promoting both creativity and critical engagement among students.
Key Applications
GenAI-powered learning technology for creative mathematical writing
Context: Elementary school students (5th grade) and teachers in the United States
Implementation: Implemented in two US schools over multiple class sessions, using a structured approach involving asking questions, representing ideas visually, and transforming inputs into stories with GenAI assistance.
Outcomes: Improved creativity, mathematical understanding, and AI literacy among students, as well as increased engagement and ownership of learning.
Challenges: Overreliance on AI, reduced opportunities for social learning, and the need for critical evaluation of AI-generated content.
Implementation Barriers
Student-related
Students may lack critical evaluation skills for AI-generated content, which can hinder their ability to engage with and assess the quality of outputs.
Proposed Solutions: Provide pedagogical support to enhance students' ability to critically assess AI outputs and encourage engagement through active learning.
AI-related
GenAI's performance may be too perfect, depriving students of important learning opportunities by not allowing them to see areas for improvement.
Proposed Solutions: Adjust AI outputs to present room for improvement, encouraging student engagement and critical thinking.
Social-related
Limited opportunities for social interaction and sharing among students can affect collaboration and peer learning.
Proposed Solutions: Incorporate features that allow students to share their work and engage with peers' stories to foster a collaborative learning environment.
Accessibility-related
The system lacks multiple means of communication, which can affect students with typing difficulties or other accessibility needs.
Proposed Solutions: Implement features such as speech-to-text and other assistive technologies to accommodate diverse learners.
Project Team
Yukyeong Song
Researcher
Jinhee Kim
Researcher
Wanli Xing
Researcher
Zifeng Liu
Researcher
Chenglu Li
Researcher
Hyunju Oh
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Yukyeong Song, Jinhee Kim, Wanli Xing, Zifeng Liu, Chenglu Li, Hyunju Oh
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