The Future of Education
Dewey Meets the Machine: Guided Inquiry Using Generative AI for Students Ages 7-11
Timothy Mattison, University of Southern Indiana (United States)
Jill Raisor, University of Southern Indiana (United States)
Abstract
Ever since Open AI made ChatGPT publicly available in 2022, educators of young children have scrambled to figure out how to use the now various generative artificial intelligence (GenAI) programs to drive their students’ learning. However, in many cases, educators are using GenAI with their students without guidance from child development and learning theories. As a result, teachers could unintentionally habituate their students to harmful GenAI practices such as overreliance on the technology. Leading child development theories stress the need for young children to learn through experience by asking questions and using the objects around them to test possible answers to those questions. This online presentation (preferably synchronous) will provide participants with models for early childhood and primary school teachers to guide student inquiry using GenAI. The growing body of scholarly literature on GenAI capabilities indicates that the technology should be able to help teachers make students’ inquiry process more engaging and efficient. The researchers built the basic structure of these models to guide student inquiry using the education philosophy of John Dewey and the scholarly literature on GenAI capabilities. The researchers refined their models using the theories of Jean Piaget and Lev Vygotsky. The researchers will demonstrate each model using GenAI to demonstrate theory-aligned framing of inquiry questions, hypothesis creation and testing, and reflection. The ultimate goal of presenting these models to other researchers is to engage them in working hypotheses they can test through empirical studies. A detailed theoretical concept paper with references will accompany this presentation.
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Keywords |
Early Childhood, Primary Education, Generative AI, Inquiry |
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REFERENCES |
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