Classroom AI
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Signals Are Not States: Neuro-Symbolic Safeguards for Culturally Aware Classroom AI
arXiv:2603.22793v2 Announce Type: replace Abstract: Classroom AI systems increasingly infer high-level educational states such as engagement, confusion, collaboration, participation, and instructional quality from multimodal and linguistic signals. In multicultural and multilingual classrooms, such inferences can translate culturally situated behavior into stereotyped claims: silence may be read as disengagement, gaze aversion as inattention, code-switching as low proficiency, or indirect...
'Ma'am, aap hi samjha do': Why teachers aren't worried about AI taking over classrooms yet
Walk into almost any school staffroom today and you will find two worlds sitting side by side. In one corner are the familiar symbols of teaching that have barely changed in decades: stacks of notebooks waiting to be checked, lesson plans being prepared, and teachers discussing the daily challenge of keeping students engaged. In the other corner are laptop screens glowing with AI-powered tools capable of generating worksheets, writing assessments, solving equations and answering questions in...
Tech Life
What is the role of a teacher once AI arrives in the school classroom?
A Classroom Study of LLM-Generated Feedback Intervention in Introductory Programming
arXiv:2606.08807v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to provide automated feedback in introductory programming courses, yet empirical evidence from authentic classroom deployments comparing different feedback modalities remains limited. In this work, we present a large-scale classroom study in which AI-generated feedback was deployed through a randomized protocol in an introductory Python programming course. Students received one of three...
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes
Announce Type: replace Abstract: Analyzing student behavior in educational scenarios is crucial for enhancing teaching quality and student engagement. Existing AI-based models often rely on classroom video footage to identify and analyze student behavior. While these video-based methods can partially capture and analyze student actions, they struggle to accurately track each student's actions in physical education classes, which take place in outdoor, open spaces with diverse activities, and...
Generation AI: Schools in Asia are embracing artificial intelligence
The schools in Asia embracing artificial intelligence in classrooms Sun 31 May 2026 at 5:12am Anaiya Singhvi loves school, but she often finds chemistry tough going. "It's kind of hard to visualise in real life since it's about molecules and atoms," the Singapore-based secondary school student said. "I've been using AI to help me with that."
SDSU Wired Its Dorms with 1,300 AI Cameras Without Telling Students
San Diego State University spent more than $1.3 million turning its campus into one of the most heavily watched in the California State University system and the students who study and live there learned the full scope from their own newspaper rather than from the administration. University Police finished installing over 1,300 AI-enabled cameras in 2024, threading them through classroom buildings, bookstores, dining areas, parking structures, gyms and the residence halls where students...
Inside Google’s AI training for teachers
MOUNTAIN VIEW, Calif. — Sitting in an atrium on Google’s campus, a group of K-12 educators imagined the worst response they could receive when they tried to persuade their colleagues to use artificial intelligence. They pictured a veteran English teacher who was still upset that cursive is no longer taught.
TeachObs: A Human-Validated Benchmark for Multimodal Teaching Observation and Model Evaluation
arXiv:2605.30673v1 Announce Type: new Abstract: Classroom videos contain observable teaching practices, but their pedagogical and visual signals are rarely organized in forms suitable for model evaluation. We present \textit{TeachObs}, a human-validated benchmark for multimodal teaching observation in classroom videos. \textit{TeachObs} includes 30 public lesson videos from eight countries divided into 5,158 fixed 15-second scenes.
A Theory-Guided LLM Pedagogical Agent for STEM+C Scaffolding Without Over-Reliance
Announce Type: new Abstract: LLM pedagogical agents are proliferating, yet recent findings have raised questions about their adherence to established theories of learning and, by extension, their educational value. Concerns regarding cognitive offloading, over-reliance, and "gaming" behaviors persist and remain largely unaddressed. In response, we developed Copa, an agentic, multi-agent, multimodal Collaborative Peer Agent for STEM+C learning.