Who Should Attend
University instructors, instructional designers and teaching support staff.
Learning Objectives
- Identify faculty tasks suitable for AI assistance and those requiring human judgment.
- Create and verify AI-supported instructional materials.
- Protect confidential student information and intellectual property.
- Measure workflow benefits without compromising teaching quality.
Curriculum & Instructional Hours
| Module | Key Topics | Hours |
|---|---|---|
| Faculty AI Workflow Design | Task inventory, selection criteria, human-in-the-loop | 5 |
| Lesson and Content Preparation | Drafting lessons, examples, accessibility checks | 5 |
| Feedback and Rubric Support | Rubric drafting, formative feedback, faculty review | 5 |
| Research and Administration Support | Summaries, planning, verification and citation limits | 5 |
| Ethics and Data Protection | Privacy, hallucinations, bias, institutional compliance | 5 |
| Faculty Productivity Capstone | Workflow prototype, safeguards and performance review | 5 |
Teaching & Assessment
Learning Methods
Interactive workshops, guided labs, peer review, case discussions and applied capstone projects.
Assessment
Workshop engagement (25%), applied exercises and draft artifacts (35%), final capstone project (40%); proposed.
Program Outcomes
- Verified AI-assisted lesson package
- Faculty workflow checklist
- Responsible use and data protection protocol
- Productivity improvement demonstration
Program planning notice: Curriculum, duration, faculty, delivery, visits, and completion arrangements are proposed and subject to final institutional confirmation. University visits, visiting scholar placements, academic credit, and partner-issued credentials are not guaranteed.