Professional Development

Get involved and strengthen your teaching with interactive faculty development.

EXPLORE THIS SECTION
EXPLORE THIS SECTION
Professional Development Staff

Development Pathways

Get involved and strengthen your teaching with interactive faculty development.

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Mentorship

Share your expertise, mentor colleagues, and help shape teaching and learning across UT Martin.
Students reviewing materials together in a UT Martin nursing lab.

Research Funding

Explore small awards that help you bring promising teaching ideas into the classroom.
An instructor explaining a diagram in a UT Martin agricultural engineering class.

Certifications

Develop practical AI skills for your teaching through guided, hands-on learning.
Soar with a Mentor

Skyhawk Faculty Fellows

Faculty Fellows partner with CTL to strengthen teaching and learning across UT Martin.

During the process of choosing a faculty fellow, candidates are evaluated based on their teaching effectiveness, commitment to professional development, and ability to contribute to the academic community. The CTL Fellows Program will select two faculty members annually (one in Fall, one in Spring) to serve a one-year term as a CTL Faculty Fellow.

Faculty interested in applying can submit an inquiry to the ctl@utm.edu

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Support for New Ideas

Faculty Micro-Grants

Micro-Grants help remove financial barriers to opportunities for growth, innovation, and research, giving faculty greater access to teaching support and professional development.

  • Software and resource subscriptions
  • Certificates and specialized training
  • Workshops or pre-conference registration
  • Teaching technology and AI tools

Ready to Apply?

Micro-Grant opportunities are announced throughout the academic year. Watch your UT Martin email for application dates, eligibility information, and instructions.

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Practical AI for Teaching

Applied AI Certificate

The Applied AI Certificate combines guided learning with hands-on practice where faculty will explore AI tools and practical ways to apply them to teaching and learning.

  • Launching Spring 2027
  • Eight modules
  • Approximately 12-15 contact hours
  • No prior AI experience required

Learning Outcomes

  • Apply AI to course planning, assignments, and instructional materials
  • Design meaningful learning experiences using AI
  • Set expectations for responsible AI use
  • Evaluate AI-generated content and tools

For questions or to learn more, contact CTL at 731-881-7728 or ctl@utm.edu.

UT Martin meteorology students using laptops while working outdoors.