AI for Your Teaching
In the classroom, AI creates more personalised, engaging, and effective learning environments. Explore the pedagogical cycle.
Integrating AI into Higher Education Pedagogy
The integration of artificial intelligence into higher education offers transformative potential for pedagogy, extending far beyond simple automation. When used thoughtfully, AI can serve as a powerful partner to enhance the core activities of teaching and learning, creating more dynamic, accessible, and personalised educational experiences for students.
Key applications include the personalisation of learning pathways to cater for diverse student needs and the rapid creation of engaging content, such as interactive simulations or multimedia resources. Furthermore, AI offers powerful tools for streamlining assessment and feedback, enabling academics to provide more timely and detailed evaluations. It also facilitates more accessible and sophisticated data analysis, making quantitative methods available to a wider range of students without requiring deep coding knowledge.
Effective integration, however, necessitates a structured approach. This involves not only exploring the practical tools but also establishing clear institutional guidelines. Frameworks for assessment and ethics are crucial to ensure that AI is used responsibly and enhances, rather than undermines, academic integrity and student learning. The resources on this page are designed to help you navigate these opportunities and challenges.
Click on a teaching stage above to explore AI applications for that area.
Framework for Incorporating AI in Assessment
This framework provides clear institutional guidelines on the permitted use of AI across different assessment types. Use this modified AI assessment rating scale to ensure students understand the expectations for each assignment.
Level 1: No AI
The assessment is completed entirely without AI assistance. This level ensures that students rely solely on their own knowledge, understanding, and skills.
Requirement:
AI must not be used at any point during the assessment.
Level 2: AI-assisted idea generation and structuring
AI can be used in the assessment for brainstorming, creating structures, and generating ideas for improving work.
Requirement:
No AI content is allowed in the final submission.
Level 3: AI-assisted editing
AI can be used to make improvements to the clarity or quality of student created work to improve the final output, but no new content can be created using AI.
Requirement:
Your original work with no AI content must be provided in an appendix.
Level 4: AI task completion, human evaluation
AI is used to complete certain elements of the task, with students providing discussion or commentary on the AI-generated content. This level requires critical engagement with AI generated content and evaluating its output.
Requirement:
You will use AI to complete specified tasks in your assessment. Any AI created content must be cited.
Level 5: Collaborating with AI
AI should be used as a ‘co-pilot’ in order to meet the requirements of the assessment, allowing for a collaborative approach with AI and enhancing creativity.
Requirement:
You may use AI throughout your assessment to support your own work and do not have to specify which content is AI generated.
Level 6: Must use AI
AI usage is mandatory, aiming to build confidence and proficiency with AI tools.
Requirement:
You must use AI throughout this assessment and demonstrate how you used and refined outputs.