Users and Activities
We plan to support the following staff and student groupings for the shown AI related activities
Students
Including undergraduate and postgraduate learners, encompassing all disciplines and modes of study.
Staff
Including Academics alongside Educator, Leaders, Administrators and Support Staff. Also Programme and Modules Teams alongside Education Support Teams.
Develop
Developing skills to use AI successfully and responsibly.
Plan
Planning for the future incorporating AI opportunities and risks.
Enhance
Enhancing teaching, learning, and educational outcomes.
Improve
Improving the efficiency and effectiveness of routine activities.
Potential Support Model
Explore the details of our support model by clicking on the titles below. Each tab provides further information to help you understand the proposed resources.
Single central source of user-focussed AI education-related information.
Guides, policies, reports, and other forms of information related to AI in education, covering:
- Capabilities and Impact of AI (Future-oriented information, planning advice, and related guidance).
- Responsible and Ethical Use of AI (Guidance and requirements).
- AI Skills and Capabilities (Skills guides and associated development resources).
- AI Innovation in Education (Case studies, findings, and reports).
- AI in Teaching, Learning, Assessment, and Support (Advice, guidance, exemplars, and other materials detailing current best practices).
- Efficiency and Effectiveness Enhancement (Advice, guidance, exemplars, and other materials related to education activities).
- Integration in Education (Practical guidance, project management templates, and other processes supporting integration within education).
Courses and activities offering accessible, practical guidance, direction, and support.
A comprehensive suite of training programs and development activities designed to equip individuals with the necessary skills and knowledge to effectively use AI. This includes hands-on workshops, online courses, and interactive training. The focus areas include:
- Foundational AI Skills (Introductory courses and capabilities).
- AI Ethics and Responsibility (Ethical considerations and safe/fair use).
- AI in Education Practice (Practical workshops, training sessions).
- Advanced AI Skills: Development programs for acquiring advanced AI skills.
Directed guidance and step-by-step support for the integration of AI within education.
A set of guides, plans, and tools providing practical, step-by-step directions for integrating AI within teaching, learning, support, and assessment. This includes survey templates, to-do checklists, reference lists, worksheets, recommended AI tools, who to involve and consult, sources of support and guidance, etc.
Crafted for clarity and ease of use by individuals across various roles and by teams, including detailed information on the expected time and effort required. Activities include:
- Discovery (What exists, what’s new and emerging).
- Prioritisation (What’s important, what needs to be done first).
- Implementation (People, time, and resources; Practical steps and actions).
- Review (Understanding impact and outcomes).
- Lessons Learnt (Ways of understanding, using, and sharing findings).
AI Resources
Policies, guides, templates, reports, and other types of resources supporting the AI hub, toolkit, and training/development activities.
- AI in Education Roadmap: Timelines, goals and outcomes concerning the use of AI in education.
- AI Values and Behaviours Policy: Staff and student shaping values and behaviours for the use of AI.
- AI Equity and Inclusion Policy: Requirements ensuring equitable and inclusive use of AI for staff and students.
- AI Accountability and Responsibility Policy: Details of staff and student responsibilities for the use of AI, including lines of accountability.
- AI Safety and Security Policy: Requirements ensuring AI systems and tools are used in a safe and secure manner.
- AI Skills Guide: Recommended AI skills for staff and students alongside development guidance.
- AI in Education Roadmap: Timelines, goals and outcomes concerning the use of AI in education.
- AI Values and Behaviours Policy: Staff and student shaping values and behaviours for the use of AI.
- AI Equity and Inclusion Policy: Requirements ensuring equitable and inclusive use of AI for staff and students.
- AI Accountability and Responsibility Policy: Details of staff and student responsibilities for the use of AI, including lines of accountability.
- AI Safety and Security Policy: Requirements ensuring AI systems and tools are used in a safe and secure manner.
- AI Skills Guide: Recommended AI skills for staff and students alongside development guidance.
AI Horizon Scanning
- Skills, jobs and education related AI
capabilities horizon scanning. - AI Horizon Scanning Strategy
- Case studies, findings, and reports on the innovative use of AI in education as well as innovative uses in improving efficiency and effectiveness within education activities.
AI in Education Innovation
- Innovation activities exploring the use of AI within education.
- AI in Education Innovation Strategy
- Resources supporting the development of AI skills.
- Guidance, exemplars, and other materials detailing best practice for the use of AI in teaching, learning, assessment, and support.
- Guidance, exemplars, and other materials on the use of AI to improve efficiency and effectiveness within education activities.
- Guides, plans, and tools providing practical, step-by-step directions for integrating AI within teaching, learning, support, and assessment.