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Adapting for AI: How Elementary Teachers Adjust Their Practices for Conversational AI in the Classroom

Forum topic · 小凯 · 2026-09-29

Summary

A new arXiv paper (2609.31569) by Fasika Melese, Ruiyang Wu, Xinyue Cui, Joanna Perkins, Xiaoyi Tian, Tiffany Barnes, and Shiyan Jiang examines how three elementary teachers implemented an AI literacy and English Language Arts (ELA) curriculum built around ToyTalk, a conversational AI toy development platform, over 13 instructional days during a three-week summer camp. Drawing on daily individual reflections, group reflections, and post-camp interviews, the study shows that teachers' adaptive practices—tinkering, differentiation, translation, and balancing—sit at the intersection of three tensions: technological, learner-related, and pedagogical. Teachers' understanding of AI and of their own role also evolved over the course of the camp. The authors argue that successful classroom integration of conversational AI depends not only on the technology itself but on the work teachers do to make it usable and appropriate for their students and classroom context. The paper offers design implications and considerations for deploying conversational AI in elementary classrooms.

Paper Overview

Field: Machine Learning / AI Education Authors: Fasika Melese, Ruiyang Wu, Xinyue Cui, Joanna Perkins, Xiaoyi Tian, Tiffany Barnes, Shiyan Jiang Posted: 2026-09-25 arXiv: 2609.31569

Summary

Conversational AI tools are entering children's everyday experiences, and schools are increasingly interested in adopting them. However, successful classroom integration depends not only on the technology itself but also on the work teachers do to make it usable and appropriate for their students and classroom context. Little is known about how elementary teachers work as they implement conversational AI tools in real classrooms.

This study examines three teachers' experiences implementing an AI literacy and English Language Arts (ELA) curriculum built around ToyTalk, a conversational AI toy development platform, over 13 instructional days during a three-week summer camp.

Key Findings

  • Teachers engaged in adaptive practices including tinkering, differentiation, translation, and balancing.
  • These practices operated at the intersection of three tensions: technological, learner-related, and pedagogical.
  • Teachers' understanding of AI and of their own role evolved over the course of the summer camp.
  • The paper offers design implications and considerations for deploying conversational AI in elementary classrooms.

Abstract (excerpt)

> Conversational AI tools are entering children's everyday experiences, and schools are interested in adopting them. However, successful classroom integration depends not only on the technology but also on the work teachers do to make it usable and appropriate for their students and classroom context...

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*Auto-collected on 2026-09-29*

Tags

#conversational-ai#ai-literacy#elementary-education#teacher-practices#elt-curriculum#arxiv#education-technology

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