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ERIC Number: EJ1473282
Record Type: Journal
Publication Date: 2025-May
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: EISSN-1559-7075
Available Date: 2025-03-08
Relational Agencies in Children's Writing with Generative AI
TechTrends: Linking Research and Practice to Improve Learning, v69 n3 p618-627 2025
While Generative Artificial Intelligence tools that use Large Language Models in programs like ChatGPT are available to the public, little is known about how children learn from and respond to these tools. Much of the previous research with elementary children--the little that exists--has focused on the ability of these tools to produce appropriate text for children to "read" rather than supporting them in being agents of their own "writing." This narrative inquiry explored how a grade 4 child attempted to leverage her agencies to use ChatGPT as a tool to help her write texts that she wanted to write. Implications of this work include the need to understand how children make sense of writing and reading as entangled processes, particularly in the context of Generative Artificial Intelligence agents, and the need to support children in narrating their own agencies when engaging with ChatGPT or other LLMs.
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Grade 4; Intermediate Grades
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1University of New Mexico, Albuquerque, USA