The higher education landscape is undergoing a profound transformation, propelled by the rapid integration of Artificial Intelligence (AI). The journey of embedding AI into the educational continuum, from induction to teaching, learning, and student outcomes, necessitates a thoughtful exploration of its pedagogical, ethical, and disciplinary dimensions.
Event Information
Date: 10 July 2024
Venue: Manchester
Time: 09:30-16:30 BST
Symposium themes
We are interested in focusing on the human and the machine and therefore pose the following questions:
- How can we align the use of AI with the core values, objectives, and standards of higher education?
- What are the challenges of designing and implementing policy and regulations in the AI space?
- What specific EDI challenges and opportunities does AI provide?
- How do we ensure that inequity in student and staff usage of AI is not embedded in HEIs?
- What measures can be taken to harmonise AI's advantages with its potential risks and challenges in addressing challenges such as student engagement and belonging?
- How can we cultivate a responsible and inclusive AI usage culture amongst staff in the educational sector?
- How can AI be leveraged to make impactful advancements in teaching and learning methodologies in this diverse cultural landscape?
A comprehensive, insightful programme with plenty of opportunity to liaise with colleagues and share experiences with AI in Learning, teaching and Assessment and addresses fundamental questions in terms of equality and inclusivity as we move forward into an AI-enabled future in HE."Mirjam Hauck, The Open University
Call for papers
We are calling for contributions that address these critical questions. We welcome various submissions, including case studies, reflective pieces, critical essays, perspectives on AI, and reports. Contributions co-authored or presented alongside students are especially encouraged, highlighting our commitment to amplifying student voices in the discourse. To facilitate this, we pledge to provide the necessary technological support and collaboration to integrate student perspectives effectively into the presentations.
Submission Deadline: 7 May 2024
Oral Presentations—These are 15 minutes in length and will be followed by 5 minutes of Q&A with delegates. This session type should be selected if your proposed session is a critical essay or report on a project within your institution. It should offer guidance on how others can replicate similar projects within their institutions. Your session should include a PPT presentation or visual stimulus to accompany your talk.
"On the Cutting Edge" - should be 10 minutes long and followed by 10 minutes of Q&A. This is an opportunity to talk about 'works in progress' where you may not have taken any action, or it is too soon to evaluate the impact of your work. However, you plan or are making a change using AI and want feedback and dialogue with colleagues. The use of PPT slides for this session type is optional.
Workshop sessions - should be one hour long. We want to provide an opportunity for colleagues to learn from each other and, therefore, have a space for learning and development in this rapidly expanding area. We welcome contributions to help colleagues understand how to embed, use, and critique AI practice.
Who should attend?
- Academic Professionals: Educators, researchers, and administrators in higher education interested in integrating AI into educational practices.
- Policy Makers: This is relevant for those in governmental or regulatory roles who are focused on the ethical, pedagogical, and operational implications of AI in education.
- Tech Innovators and AI Practitioners are individuals or organisations working on AI technologies and solutions tailored for the Higher Education sector.
- Stakeholders in Education: Including non-profit organisations, educational technology companies, and consultants focusing on the advancement of learning and teaching methodologies.
Learning outcomes
- Insightful Perspectives: Gain insights into aligning AI with the core values, objectives, and higher education standards within the context.
- Risk Management Strategies: Learn about harmonising the advantages of AI with its potential risks and challenges, fostering a responsible and inclusive AI usage culture.
- Innovative Methodologies: This section offers practical examples and case studies on how AI can revolutionise teaching and learning methodologies.
- Collaborative Opportunities: Opportunities to engage in meaningful dialogue and collaboration with peers, highlighting the importance of student voices in AI integration.
- Practical Guidance: Learn from oral presentations and workshops on embedding, using, and critiquing AI in education, with tangible takeaways on replicating successful AI projects within institutions.