Who Should Attend
Faculty, research-methods instructors, capstone supervisors.
Learning Objectives
- Redesign authentic assignments and research processes for transparent, responsible AI use.
- 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 |
|---|---|---|
| Assignment redesign principles | Authenticity, process, disciplinary aims | 6 |
| Research question and literature work | Search strategy, source verification, synthesis | 6 |
| Methods and data integrity | Documentation, reproducibility, ethics | 6 |
| Project milestones and process artifacts | Drafts, logs, peer review, checkpoints | 6 |
| Responsible AI collaboration | Permitted assistance, disclosure, evaluation | 6 |
| Assignment design studio | Produce a redesigned project brief and assessment plan | 6 |
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
- AI-aware assignment brief
- Research process and verification log template
- Project milestones and grading rubric
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.