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
Supporting students and learners
Advice and guidance on addressing student needs and concerns with guidance to support their learning experience.
- Embracing generative AI in fashion education - Jane Mills, Deputy Head of Subject, Fashion at the Faculty of Arts, University of Northampton shows how generative AI has been embraced in their approach to fashion education
- How digital assistants are promoting enhanced accessibility at the Open University - Dr Tim Coughlan, senior lecturer in education technology at the Open University, discusses the benefits and practicalities of using digital assistants to improve the student experience for disabled learners
- How Petroc College is harnessing artificial intelligence - Petroc College share how they are harnessing artificial intelligence to improve outcomes for students
- How artificial intelligence is supporting the student admissions process - Anthony Manny, business analytics lead at the Universities and Admissions Centre (UAC), Australia, discusses how they are using AI to support and enhance the university admissions process
- AI: empowering inclusive education - Nalina Brahim-Said (a current 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
Accessibility drop in clinic: AI and accessibility in education
Watch our recording of a discussion around AI and accessibility in education.
Supporting staff
Access practical guidance on the capabilities and limitations of AI helping staff integrate AI tools responsibly.
- An introduction to GenAI in education - a free MOOC which gives educators an understanding about AI and how it is impacting education and learners
- Ten tips when conducting A.I. pilots - Rob Howe, Head of Learning Technology at University of Northampton, shares his experiences of conducting pioneering AI Pilots
- Establishing a resource hub for AI success stories in education - a call out for successful, specific examples of how AI has improved educational practices
- Innovative insights: AI success stories from the community - examples showcasing AI in education, from both FE and HE institutions, spanning various subject areas and utilising different AI tools
- AI in education: pedagogy first – providing personalised learning - a discussion with Scott Hayden from Basingstoke College of Technology about how they are using AI to support personalised learning
- AI in education: pedagogy first – enhancing collaborative learning - a discussion with Mutlu Cukurova from University College London about how AI can support collaborative problem solving
- Debunking myths and harnessing solutions: navigating generative AI in education - a blog focused on debunking some of the common myths surrounding generative AI in education
Maintaining academic integrity
Practical guidance covering assessment and the latest information on detection.
- Exploring innovations in assessment - to understand more about how learners and educators are currently benefiting from innovations in assessment, we spoke to Dr Karen Henderson about The University of the West England’s (UWE Bristol) e assessment system, Dewis
Safe responsible use
Learn about ethical considerations, biases, and licensing options, ensuring AI is used thoughtfully and responsibly.
- Exploring the potential for bias in ChatGPT - this blog uses ChatGPT as a case study to start exploring bias in more detail and also shows how we might explore bias in other AI systems
- 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.
- Interested in receiving formative feedback on your draft essays and dissertations on demand? Introducing Warwick’s “AI Essay-Analyst” - learn about the University of Warwick’s recently developed in-house “AI Essay-Analyst”
- Google Gemini – initial thoughts - some of the key facts from Google’s 60-page technical report on Gemini, and some thoughts about what it might mean for education
- 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 map - browse our interactive map of institutions using AI technologies to improve their processes
- 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
- AI and assistive technology – Grammarly - a focus on Grammarly and its generative AI functionality, considering how we can manage use of new generative capabilities while ensuring that students and learners are not disadvantaged by restricting access to supportive tools
Exploring the uses of AI in medical education
BodySwaps, Sentira XR, SimConverse and Virti showcase their exciting AI products for medical education.
Reflecting on last year’s AI pilots
We led three pilots of promising AI products: Anywyse, Student Voice, and TeacherMatic. In this session, we reflect on these pilots and draw out actionable insights.
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.