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UCF Selected for National Endowment for the Humanities Project on AI in Education

AI in Education EditorialUpdated July 14, 20261 min readRead source
UCF Selected for National Endowment for the Humanities Project on AI in Education
🇺🇸US🔬Researchers🎯Research👩‍🏫Teachers🏛️Administrators🎯Teaching+3 more

Skip to main content Professor Anastasia Salter (left) and Associate Professor Mel Stanfill (right) will lead a new generative AI learning community for faculty and graduate students as part of a National Endowment for the Humanities grant awarded to UCF’s texts and technology program. As generative artificial intelligence (AI) reshapes classrooms, workplaces and creative industries, UCF researchers are asking a timely question: How should the humanities respond?

Analysis & Perspectives

People Also Ask

What role does education play in the development of AI?
Education shapes the next generation of AI researchers, ethicists, and practitioners. Universities produce the talent that builds AI systems, while K-12 education increasingly incorporates computational thinking and data literacy to prepare all students — not just future engineers — to participate meaningfully in an AI-shaped society.
How is AI changing the way students learn?
AI is personalizing learning at scale through adaptive platforms that adjust difficulty and pacing to each student. It is also automating administrative tasks for teachers, enabling new forms of assessment like real-time comprehension checks, and making expert tutoring more accessible through AI-powered tools like Khan Academy's Khanmigo.
What skills do students need to thrive in an AI-driven world?
Students need a blend of technical literacy (understanding how AI works), critical thinking (evaluating AI outputs), creativity (doing what AI cannot), and ethical reasoning (understanding impacts on society). The OECD and UNESCO both highlight adaptability and human-centered skills as the most future-proof investments for learners.
Is AI replacing teachers?
AI is not replacing teachers — it is automating repetitive tasks like grading multiple-choice assessments and generating first drafts of lesson plans. The irreplaceable aspects of teaching — mentorship, social-emotional support, classroom management, and moral guidance — remain fundamentally human and are increasingly valued as AI handles more mechanical tasks.