AI in Education
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The best time to be a teacher: Leading with AI and technology in the age of personalized learning

Dr. Harold Jeffcoat, AASA, The School Superintendents Association•
eSchool News
••Updated September 15, 2026•1 min read•Read source
Teacher Training
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In an era defined by rapid technological advancement and an unprecedented explosion of information, public education stands at a pivotal and exciting crossroads.

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Analysis & Perspectives

Strategic Planning for AI Professional Development: Equipping Educators to Integrate AI as a Pedagogical Partner, Not Just a Tool

This article outlines a strategic framework for professional development, empowering educators to effectively integrate AI into their teaching practices. It moves beyond viewing AI as a mere tool, instead focusing on equipping educators to leverage AI as a sophisticated pedagogical partner. The aim is to enhance learning experiences and foster innovative instructional design.

Redefining Assessment and Feedback Strategies in the Age of Generative AI: From Plagiarism Detection to Promoting Critical AI Literacy

This article explores how the advent of generative AI necessitates a fundamental re-evaluation of assessment and feedback strategies in education. It advocates for a shift from solely focusing on plagiarism detection towards cultivating critical AI literacy among students. The piece outlines innovative approaches to integrate AI responsibly, ensuring academic integrity while equipping learners with essential skills for an AI-driven world.

People Also Ask

Where can I read technology news about AI?▾
Recommended technology news sources for AI coverage include MIT Technology Review (in-depth analysis), The Verge (consumer-focused), Wired (culture and technology), Ars Technica (technical depth), and TechCrunch (startup and product news). For AI-in-education technology news specifically, EdSurge and aiineducation.io focus on school-relevant developments.
What technology companies are leading in AI development?▾
The leading AI companies as of 2025 are OpenAI (ChatGPT, GPT-4o), Google DeepMind (Gemini), Anthropic (Claude), Meta AI (Llama open-source models), Microsoft (Copilot, Azure AI), and Mistral AI. In education-specific AI, Khanmigo (Khan Academy), Carnegie Learning, and Squirrel AI are recognized leaders.
How fast is AI technology advancing?▾
AI capabilities have advanced rapidly: the performance gap between the best models of 2022 and 2025 on standard benchmarks is comparable to the gap between beginner and expert human performance on many tasks. New model generations now arrive roughly annually from major labs, with incremental updates more frequently. The pace shows no sign of slowing.
What AI technology breakthroughs matter most for education?▾
The most educationally significant AI technology advances are multimodal models that can work with images and audio (enabling visual problem-solving help), long-context models that can process entire textbooks, speech-to-text enabling voice-based tutoring, and agentic AI capable of taking multi-step actions on behalf of students and teachers.

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