AI in teaching and assessment
We do not ban AI. We change how we teach and assess, so that learning stays real and students graduate ready for an AI world.
Five principles for teaching with AI
1. AI literacy
Students and staff learn how AI works, what it can do and where it fails.
2. Prepared lecturers
Lecturers are supported to guide students in using AI tools appropriately.
3. Adapted teaching and assessment
Courses include the ethical use of AI, with equal access for all students.
4. Academic integrity
Standards of honesty and rigour are upheld in every course.
5. Shared good practice
Faculties share what works as the technology changes.
Assessments that show real understanding
Because software that claims to detect AI-written text is not reliable, the strongest assessments are those in which students show their own understanding. Plasma University already has a strong tradition of this: every final-year student presents and defends their thesis in front of examiners in the annual Thesis Defence.
- Oral presentations and defences
- Practical and clinical examinations in labs and hospitals
- Work submitted in stages, with drafts and reflection
- In-class writing and problem solving
How our lecturers can use AI
Preparing materials
Drafting examples, case studies and practice questions – always checked and adapted by the lecturer.
Supporting language
Short summaries in Somali to help students with weaker English.
Supporting students at risk
Using attendance and results in the university system to contact students who are falling behind.
Course assistants
An AI course assistant should answer routine questions and give hints, never complete answers.
Lecturers decide
Marks, progression and misconduct decisions are always made by people.
Continuous training
Staff development on AI tools, assessment design and data protection.
How we teach
Our approach to teaching and learning.
