AI in Education
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Faculty are right that AI output is mediocre. They’re wrong about why

AI in Education Editorial•••Updated July 28, 2026•1 min read•Read source
Faculty are right that AI output is mediocre. They’re wrong about why
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Skip to main content Faculty are right that AI output is mediocre. They’re wrong about why If AI amplifies what you bring to it, the liberal arts mission of developing critical thinkers becomes not nostalgia but practical necessity, says Nicholas Creel Published on March 24, 2026 Last updated March 27, 2026 Nicholas B. Creel Share on bluesky Share on linkedin Share on twitter Share on facebook Share on mail 7 Source: duncan1890/Getty Images Earlier this month, a viral Substack post

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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

Will AI replace teachers in the future?▾
Education researchers broadly agree that AI will not replace teachers but will significantly change what teachers do. AI handles information delivery, practice, and grading efficiently. Teachers provide mentorship, motivation, social-emotional support, and the nuanced judgment that defines quality education — capabilities that remain beyond current AI.
What teaching tasks can AI already do?▾
AI can already draft lesson plans, adapt reading levels, grade multiple-choice and short-answer assessments, answer factual student questions 24/7, generate practice problems, provide writing feedback, and flag at-risk students through learning analytics. These tasks represent a significant portion of teacher preparation time but not the relational core of teaching.
Are any teaching jobs already being replaced by AI?▾
Some online tutoring and test-prep roles have been reduced as AI tools handle those functions. AI teaching assistants manage high-volume student queries in massive open online courses. However, full classroom teaching positions in K-12 and higher education have not been replaced; the demand for credentialed teachers remains strong globally.
How should teachers prepare for an AI-integrated future?▾
Teachers future-proof their careers by developing AI literacy, learning to use AI tools as productivity multipliers, and deepening skills in the uniquely human aspects of teaching: building relationships, facilitating discussion, providing mentorship, and exercising professional judgment in complex student situations where AI cannot reliably operate.

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