Autonomous driving paper index
Teachers as AI Developers
One-line summary
The dominance of commercial AI in education has created a paradox: while these tools promise transformation, they perpetuate dependency, financial barriers, and environmental unsustainability.
Engineering notes
Through detailed case studies, including an AI-assisted Dialogue System (ADS) for multilingual nurse-patient training and assessment, they demonstrate how teachers can leverage AI coding assistants, browser-based models, and open-source resources to develop pedagogically tailored applications.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
The dominance of commercial AI in education has created a paradox: while these tools promise transformation, they perpetuate dependency, financial barriers, and environmental unsustainability. This Element challenges the 'technical mystique', the misconception that AI development requires expertise beyond educators' reach, and demonstrates how teachers can become creators rather than consumers of educational technology. The authors chronicle their transformation from linguists and educators to AI developers without formal computer science training, illustrating how the technical barriers educators face are often more perceived than real. Through detailed case studies, including an AI-assisted Dialogue System (ADS) for multilingual nurse-patient training and assessment, they demonstrate how teachers can leverage AI coding assistants, browser-based models, and open-source resources to develop pedagogically tailored applications. This title is also available as open access on Cambridge Core.
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