Who Should Attend
Faculty and teaching center specialists across disciplines.
Learning Objectives
- Develop instruction that tests claims, compares alternatives and strengthens independent judgment.
- Apply course principles to discipline-specific teaching and student learning scenarios.
- Evaluate risks, equity, evidence quality and responsible AI boundaries.
- Produce an implementable teaching resource with peer feedback.
Curriculum & Instructional Hours
| Module | Key Topics | Hours |
|---|---|---|
| Reasoning and evidence | Arguments, assumptions, warrants | 5 |
| AI persuasion and errors | Confident falsehoods, framing, bias | 5 |
| Source triangulation | Primary evidence, credibility, disagreement | 5 |
| Decision-making under uncertainty | Trade-offs, uncertainty, counterarguments | 5 |
| Socratic discussion and debate | Questioning, peer critique, reflective reasoning | 5 |
| Critical judgment capstone | Design and demonstrate an evidence-based task | 5 |
Teaching & Assessment
Learning Methods
Interactive seminars, case analysis, hands-on design studios, peer review and guided reflection.
Assessment
Participation and applied exercises (25%), design artifacts and peer review (35%), final implementation portfolio (40%); proposed.
Program Outcomes
- Critical-thinking assignment with rubric
- AI-output critique and evidence log
- Independent judgment teaching activity
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.