Experimenting and exploring AI
At this stage of the AI maturity toolkit, both individuals and institutions as a whole will be experimenting with AI tools.
You may already be:
- Experimenting and running pilots
- Developing a data culture to support AI emerging
- Establishing responsible AI processes
Institutions will be running structured pilots, to facilitate this they will have established frameworks to ensure the responsible use of AI, and have begun to think about how data maturity can support future AI solutions.
Resources
Strategic
- What is AI sovereignty and why does it matter for education? - explaining issues around AI sovereignty and how this could impact the UK education sector
- What do we mean by open-source AI? - explaining what open-source means in regards to AI and why its important to know
- Generative AI for college and university governors’ - discusses the use of generative AI in higher education governance, highlighting best practices, challenges, and recommendations for effectively integrating AI into college and university operations
Supporting students and learners
Advice and guidance on addressing student needs and concerns with guidance to support their learning experience.
- Navigating the intersection of AI, accessibility and education in 2025 - discusses AI's impact on accessibility in education and recommendations to ensure that students and staff continue to be supported by technology
- Generative AI and social inclusion - explored the impact of generative AI on social inclusion, considering both opportunities and threats
- AI in assessment: considering assistive technology users - discusses the challenges and considerations of using AI in assessments, particularly for assistive technology users. It highlights the need to balance academic integrity with accessibility, and the importance of recognising AI's role in assistive technologies
- AI and assistive technology: Grammarly - discusses the role of Grammarly as an assistive tool, highlighting its long-standing use in education and the challenges posed by its new generative AI features. It emphasises the importance of determining acceptable use of AI tools in assessments, especially for disabled and neurodivergent students
- AI: empowering inclusive education - Nalina Brahim-Said (a master’s student at the University of Bolton focusing on inclusive education in the UK curriculum and integrating AI for SEN and neurodiversity) covers how AI empowers inclusive education
- Student perceptions of GenAI - this report looks at how students are currently using generative AI and explores its potential impact on their learning experience
Supporting staff
Access practical guidance on the capabilities and limitations of AI helping staff integrate AI tools responsibly.
- Our AI presentation and workshop slides - a collection of presentations and resources from our previous AI events
- An introduction to GenAI in education - a free MOOC which gives educators an understanding about AI and how it is impacting education and learners
Maintaining academic integrity
Practical guidance covering assessment and the latest information on detection.
- Grammarly authorship and acknowledging AI use in assessment - discusses the role of Grammarly's authorship tool in promoting transparency and trust in AI-generated content, emphasising the importance of acknowledging AI use in academic assessments
Safe responsible use
Learn about ethical considerations, biases, and licensing options, ensuring AI is used thoughtfully and responsibly.
- Artificial intelligence and the environment: The current landscape - examining key ongoing changes to the discussion around AI and environmental impact
- The human aspects of AI: Society, diversity, and education - discusses the role of diversity in AI education, the importance of collaboration to foster inclusivity, and how AI is reshaping the competencies expected from graduates
- Generative AI: Interpreting terms and conditions for safe use - provides an overview of the terms and conditions of various generative AI tools, focusing on age restrictions and the use of user inputs for training AI models
- Navigating the terms and conditions of generative AI - a look into the terms and conditions of generative AI, with a focus on age requirements and training data.
- Artificial intelligence and ethics - should we be worried about AI? Our free mini MOOC explores the issues
AI tools
Exploring interesting potential and existing use cases and showcasing emerging AI tools.
- DeepSeek: Initial thoughts and advice - shares initial thoughts and advice on the release of DeepSeek, highlighting its features and the media attention it has received
- AI case study: CENTURY - explore how further education colleges are benefiting from Century
- Artificial intelligence in tertiary education pilots - from a chatbot for student queries to a virtual reality interview simulator, read about the outcomes of our completed artificial intelligence pilot projects
- AI tools - a compilation of of AI tools and features explored by Jisc's AI team, including links and information on practical uses, terms and conditions, cost and accessibility of tools
Exploring the uses of AI in medical education
BodySwaps, Sentira XR, SimConverse and Virti showcase their exciting AI products for medical education.
Next stage: operational
In the next stage, most institutions have produced a checklist of core activities and AI tools and systems are integrated into daily operations.