AI in Higher Education

Students already use AI. The question left for the school is whether it uses it too, with rules, or pretends the problem does not exist.

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Who This Training Is For

• Higher education faculty, in any scientific field
• Researchers and research fellows
• Non-teaching staff: academic services, project management and coordination
• Faculty and department leadership preparing internal AI guidance

What Your Team Will Be Able to Do

• Speed up literature review and synthesis of sources without losing traceability
• Prepare lessons, materials and assignments in far less time
• Design assessment that still measures learning when writing is assisted
• Talk about academic integrity with clear criteria, instead of bans nobody enforces
• Contribute to institutional guidance instead of everyone deciding alone

Programme

1. What changed — what faculty, researchers and students already do with AI
2. Prompts for academic work — the DCPT method applied to review, synthesis and writing
3. Research support — literature, reference organisation and data analysis, with verification
4. Teaching — lesson plans, materials, assignments and differentiation
5. Assessment and academic integrity — criteria that hold up against AI use
6. Institutional governance — what internal guidance needs to say

The programme is tuned during the assessment: institutions weigh research and teaching very differently.

Learning Objectives

• Understand the core concepts of Artificial Intelligence, from the first neural networks to Large Language Models
• Apply a structured prompt engineering method (the DCPT formula) to academic work
• Use AI tools to support research: literature review, synthesis of sources and reference organisation
• Produce teaching materials with AI support, keeping scientific rigour and authorship intact
• Recognise the implications of AI for assessment and academic integrity
• Understand the principles of AI governance in a higher education context
• Build the critical ability to validate AI-generated results rather than accepting them unchecked

Format

• In person or online
• Adaptable duration: 3h, 6h or a path across several sessions
• Exercises with real materials from the subjects in the room
• Adapted to the school level and context

What Makes It Different

This is not a tool demo for teachers.

It is the same work as always — preparing, teaching and assessing — done with a new tool, plus the hard conversation about homework written by a machine.

Has your school decided what counts as legitimate use of AI?

Request a tailored proposal.