The Teaching Support Gap
Teaching effectiveness varies:
- Graduate students become instructors with minimal training
- Faculty expertise is disciplinary, not pedagogical
- Teaching development resources are limited
- Busy schedules leave little time for pedagogical growth
- Feedback on teaching comes too late to affect current students
Students benefit when instructors improve. Most instructors want to improve. The gap is support.
What a Teaching Support Agent Does
A vertical AI agent for teaching support provides just-in-time pedagogical assistance tailored to instructors' contexts.
Course Design Support
For planning:
Outcome Alignment: Help instructors connect activities to learning outcomes.
Assessment Design: Suggest assessment approaches for different learning goals.
Active Learning Ideas: Recommend engagement strategies for content types.
Schedule Optimization: Balance content coverage with learning depth.
Instructional Practice
For execution:
Discussion Prompts: Generate questions that promote critical thinking.
Explanation Alternatives: Offer different ways to explain difficult concepts.
Feedback Drafting: Suggest constructive feedback on student work.
Reflection Prompts: Help instructors learn from teaching experiences.
Analytics Integration
For improvement:
Engagement Visibility: Show patterns in student engagement with content.
Assessment Analysis: Highlight where students struggle.
Comparative Context: How does this course compare to benchmarks?
Improvement Suggestions: Based on evidence, what changes might help?
Academic Freedom
Teaching support must respect instructor autonomy:
Suggestions, Not Mandates
The agent offers options; instructors decide.
Disciplinary Awareness
Pedagogical advice must fit disciplinary norms.
Confidentiality
Teaching struggles stay confidential unless instructors choose to share.
Building on the Right Foundation
Teaching data is sensitive. Instructors must trust that information isn't used against them.
The Opportunity
Better teaching produces better learning. AI agents can make pedagogical support more accessible—when built with respect for academic freedom and instructor autonomy.
Universities exploring teaching support AI should prioritize platforms that protect instructor confidentiality, respect academic freedom, and provide implementation partnerships that understand faculty culture. The goal is instructor empowerment—not surveillance that undermines teaching.