Built by Butler, for Butler

Coordinated through the Office of Education and Educational Technology (OEET), this hub is built by and for Butler and draws on resources from faculty, staff, students, and units across campus. It brings together practical tools, real examples, and values‑aligned guidance so you can make confident, ethical decisions with AI in teaching, learning, and operations.

Navigating the hub

The hub is organized around five pillars, intentionally developed by a faculty and staff working group to focus our efforts on the most important areas of AI in education. These pillars clarify campus priorities and make navigation simple—helping you dive directly into the resources most relevant to your goals.

Built by Butler, for Butler: Submit An Example

Our Hub is built by and for Butler, and it improves when you add real practice. Your example helps colleagues make informed choices with the AI Compass, grows the Assignment Bank, and keeps our guidance aligned with Butler values, academic integrity, accessibility, and student needs.

Share one concrete example from your class, research, office workflow, internship, or creative work. Wins and missteps are both useful. We review for alignment with Butler values, integrity, accessibility, and privacy. Selected entries appear in pillar pages and the Assignment Bank to help others implement and iterate with confidence.

Pillar 1: Faculty Education and Community Culture

Built to grow shared understanding and normalize responsible AI through faculty-to-faculty learning.

Grounding foundational AI knowledge in peer conversation, this pillar builds a supportive culture that protects academic integrity while empowering instructors to align AI practices with their specific courses and values.

What you can find here: Faculty testimonials; transparency and syllabus guidance; peer how to’s; curated reading for faculty.

Pillar 3: Teaching and Learning: Instructional Design and Academic Integrity

Built to integrate AI meaningfully into courses while keeping learning authentic and assessment sound.

This pillar focuses on pedagogy first and offers concrete models for course and assessment design at beginner, intermediate, and advanced levels. It supports ethical use, transparent citation, and integrity‑forward evaluation.

What you can find here: Assignment Bank; sample rubrics; course and assessment design guides; beginner, intermediate, and expert demonstrations; classroom use cases including IAIPC cohort examples.

Pillar 5: Butler Institutional Identity, Values, Data

Built to ground AI in Butler values, leadership vision, and evidence from our campus community.

This pillar frames AI as a human force multiplier that enhances rather than replaces human thought. It connects work across the hub to Boldly Butler and academic integrity and surfaces institutional insights through survey visualizations and leadership perspectives to guide responsible progress.

What you can find here: Butler AI Principles visualization; leadership videos; campus AI survey data and visualizations; force multiplier explainer; value aligned language and resources.

Pillar 2: Practical Tools and Decision Support

Built to support you in making informed decisions about when to use AI, when to not, and which tools to use.

This pillar equips you to make responsible AI choices by aligning tool selection, critical verification, and human oversight with Butler’s academic standards.

What you can find here: AI Compass flowchart; approved and avoided tools from IT; verification checklists; syllabus statement tool; discipline based pathways; tool evaluations such as the PISA Editor.

Pillar 4: Student AI Literacy and Storytelling

Built to help students use AI ethically, verify well, and share authentic Butler voices.

This pillar prepares students to evaluate, cite, and responsibly integrate AI into their academic and professional work through practical literacy tools and ethical guidance. It features authentic student perspectives, shared via blogs, podcasts, and reflections, to help navigate accuracy, bias, and effective task alignment.

What you can find here: Micro learning modules; ethics and verification skills; policies and guidance; student reflections, podcasts, and blogs; curated reading for students.