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Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum

Paper recorded by Signals 4 on 2026-09-25 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.AI · 人工智能 · first seen 2026-09-28

Abstract

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. There is little known about how elementary teachers work as they implement conversational AI tools

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#5 most recent of 420 cs.AI papers we have recorded · ↑ newer: OC-GS: Gaussian Splatting for Irregular Turntable Capture · ↓ older: DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Educati
Cite this page: Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum: the #5 most recent of 420 cs.AI papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/adapting-for-ai-how-elementary-teachers-adjust-their-practices-for-an-ai-integra.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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