Faculty AI Literacy Hub
Empower your teaching and research with artificial intelligence. From basic concepts to advanced applications, find the resources you need to integrate AI into your academic practice.
Find Your AI Pathway
Browse by AI Readiness
Discover resources tailored to your experience level, from AI curious beginners to advanced practitioners. Each level offers carefully curated materials to build your skills progressively.
Browse by Tool Type
Navigate directly to resources organized by function – teaching tools, research assistants, administrative aids, professional development, and ethical guidelines.
Your AI Readiness Survey
AI Curious (Beginner)
Start with fundamental concepts, myths vs. reality, and why AI matters in education. Access introductory videos, FAQs, and simple case studies relevant to your discipline.
AI Explorer (Intermediate)
Explore tool comparisons, pedagogical integration techniques, and academic integrity approaches. Find how-to guides, example lesson plans, and join faculty discussion forums.
AI Practitioner (Advanced)
Dive into data management, custom AI applications, and impact evaluation. Access project templates, research articles, and advanced workshop opportunities.
AI Tools for Teaching Excellence
Intelligent Tutoring
Adaptive AI tutors that tailor learning based on student responses and pace.
Automated Feedback
Save time with tools that provide structured, formative feedback instantly.
Classroom Analytics
Track student engagement and trends with visual dashboards and reports.
Ethical AI Integration
Institutional Guidelines
Access university-specific policies and recommendations for responsible AI use in academic contexts. Review best practices for protecting student data and ensuring equity.
Ethical Case Studies
Explore real-world examples of ethical dilemmas in educational AI use and how institutions have addressed them. Reflect on implications for your own practice.
Privacy & Bias Checklists
Use practical tools to evaluate AI applications for potential privacy concerns and algorithmic bias before implementation in your courses or research.
Understanding the ethical dimensions of AI is essential for responsible implementation. Our resources help you navigate complex considerations while maximizing benefits for students and scholarship.
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