Summer AI Studio
Overview
In response to recommendations from the Campus AI Curriculum Task Force, the Provost's Office has initiated a campus-wide Summer Intensive focused on integrating AI into the curriculum. This five-week program is designed to equip 40–60 faculty members with the skills to reflectively and responsibly integrate AI into their courses.
Through hands-on workshops, collaborative design sessions, and expert guidance, faculty will redesign course components to thoughtfully incorporate AI in ways intended to support learning, strengthen critical thinking, and increase student engagement, while critically evaluating its actual impact on student outcomes.
Courses were identified for participation based on their potential for high impact and opportunities to support student learning through thoughtful AI integration. Learn more about the Task Force →
The program is developed and delivered in collaboration with the Office of the CIO, the Center for Innovation in Teaching & Learning, the University Library, the Siebel Center for Design, and AI experts from across campus.
Program Timeline
The program begins on June 15th with two weeks of synchronous sessions followed by a flexible three-week consultancy and support phase.
Week 1: Foundations In-person
AI capabilities, ethics, and pedagogical frameworks.
Week 2: Design In-person
Instructional ideation and course mapping.
Week 3: Prototype
Participants engage in hands-on design sessions to develop working prototypes of their AI-enabled course components. Instructional designers and AI tool specialists provide real-time guidance throughout the process.
Week 4: Testing & Peer Review
Faculty participate in structured peer-review sessions where prototypes are tested and critiqued. Participants simulate the student experience, evaluate AI outputs, and surface potential challenges around student use, transparency, and assessment integrity.
Week 5: Integration & Implementation
Participants finalize course revisions, integrate AI-enabled components into their syllabi, and develop assessment strategies that reflect responsible AI use. Each faculty member completes a structured teaching package — including student-facing instructions, an AI transparency policy, and documentation of intended learning outcomes — ready for Fall implementation.
Expectations and Deliverables
The Summer AI Studio is a high-engagement program requiring a commitment to innovation and collaboration.
Program Duration: 5 Weeks
Weekly Time Commitment: 10 hours each week
Each participant is expected to produce one fully developed course component ready for implementation in Fall 2026. Projects may incorporate AI as a learning tool, assessment strategy, object of critical analysis, or source of data-informed insight. Potential approaches may include:
AI-Enhanced Assignment
Students use AI to generate hypotheses, assist with literature review, or support problem-solving, followed by critical reflection on the process.
AI-Supported Learning Activity
Structured activities such as AI debate partners, case study analysis, or AI-generated datasets for student exploration.
AI-Integrated Assessment
Assessment formats including oral defenses of AI-assisted work, transparency reflections, or structured AI use documentation.
AI Tutor or Practice Tool
Prompt frameworks, AI-supported formative quizzes, or coaching tools for writing, coding, or skill development.
Critical AI Analysis Module
Students interrogate AI-generated outputs, examine limitations or bias, compare AI responses against disciplinary standards, and evaluate the broader implications of AI use in the field.
Data-Informed Teaching Resource
Faculty use AI to help analyze course data, identify patterns in student learning, or generate insights that inform instructional decisions, course design, or targeted student support.
Support Ecosystem
After the initial two weeks, the program will shift to a consultancy model, with participants working in smaller cohorts and receiving dedicated support from CITL Faculty Fellows, campus experts, and technical specialists across campus units and colleges. This studio approach gives each project team the flexibility to meet as needed, coordinate its work, and access support at key points throughout the design and prototyping process.
Faculty AI Fellows
Disciplinary guidance and peer mentorship from experienced colleagues.
Technical Experts
Instructional designers and technology specialists ready to assist.
Graduate Affiliates
Hands-on assistance with prompting, prototyping, and testing.