AI in Higher Education Course Design: Supporting Faculty in the AI Era
Generative AI is already part of how students research, draft, and study. Faculty are adapting quickly—but often without consistent institutional guidance.
This isn’t a problem to solve. It’s an opportunity to design more intentionally.
As AI becomes embedded in higher education course design, institutions have a chance to support faculty in ways that strengthen teaching, preserve academic integrity, and prepare students for an AI-enabled workforce.
Our Framework
At Six Red Marbles, we frame this shift as AI + Human Insight (AI + HI).
AI accelerates drafting, research, and routine tasks. Human expertise ensures rigor, pedagogy, and meaningful learning. The goal is amplification, not automation.
The Opportunity
Supporting Faculty with Clarity and Structure
Faculty are navigating a rapidly evolving landscape. Many instructors are still working through how to integrate AI effectively — and they don’t need more tools. They need clear frameworks and practical support.
That support falls into two key areas:
Course Design
AI-Assisted Course Design Workflows
When implemented thoughtfully, AI can support the core elements of course design. These are starting points, not final outputs — faculty expertise ensures alignment, rigor, and disciplinary integrity.
Learning Design
Draft learning objectives aligned to program outcomes
Content Outlines
Generate initial reading lists and course content scaffolds
Assessment
Build rubric frameworks and discussion prompts for faculty refinement
Research Support
Summarize literature, identify gaps, and support citation management
AI research support allows faculty to spend more time on analysis, mentorship, and original contribution.
Faculty Development
Making Faculty Development Practical
Generic AI training rarely translates into teaching practice. The most effective approach is applied, discipline-specific development.
If AI can generate a first draft, assessment must go beyond output.
What This Looks Like
STEM
Refining AI-generated problem sets for disciplinary accuracy
Humanities
Developing discussion prompts that preserve context and nuance
Writing
Building AI-informed rubrics while maintaining standards
Assessment
Rethinking Assessment for AI-Enabled Learning
AI changes how students produce work — but it also expands how we can evaluate learning. These approaches strengthen rigor by focusing on thinking, not just production.
Reflective Portfolios
Document AI use and evaluation process throughout the course
Oral Presentations
Assess synthesis and reasoning in the student’s own voice
Context-Specific Projects
Require human judgment in scenarios AI cannot replicate
Process Documentation
Show drafts, iteration, and decision-making over time
AI Literacy
Teaching Students to Use AI Responsibly
AI literacy is now part of academic success. Faculty can support this by helping students develop verification skills, disciplinary judgment, and a clear understanding of where human expertise remains essential.
Practical Classroom Strategies
Responsible Integration
Three Guardrails for Responsible AI Integration
Looking Ahead
From Exploration to Implementation
Faculty are already adapting. Institutions have the opportunity to support them more intentionally. When AI is integrated thoughtfully into course design, the results are measurable.
What Thoughtful AI Integration Can Deliver
Reduced administrative burden on faculty
Stronger learning outcomes for students
Expanded opportunities for student engagement
The goal is not to make faculty into technologists. It is to provide the structure and support needed to teach effectively in an AI-enabled environment.
Ready to Move Forward?
Strengthen AI in Your Course Design Strategy
Six Red Marbles partners with higher education institutions to integrate AI into course design, faculty development, and institutional strategy.
In a 30-minute AI + HI Readiness Briefing, we’ll help you:
Identify your institution’s current readiness stage
Surface the biggest constraint to progress
Align course design, faculty support, and governance
Define clear next steps