FFLAI2026: Future Facing Learning and AI in Higher Education Digital Life Building, Teesside University Middlesbrough, UK, April 15-17, 2026

The conference brings together scholars, practitioners, students, and innovators to explore how artificial intelligence is reshaping higher education. From ethical design to transformative pedagogy, the conference offers a platform for critical dialogue, cutting-edge research, and collaborative innovation.

The conference will include digital thinking hands-on workshops to boost digital skills and knowledge, explore practical automation tools and discover best practices.

Conference opportunities

• Inspirational talks, panel discussions, and networking opportunities, and hands-on workshops to enhance your understanding of effective teaching practices.
• Showcase of cutting-edge research on AI in education.
• Practical tutorials and workshops on AI tools and pedagogies.
• Policy and strategy discussions on AI integration in higher education.
• Promotion of ethical, inclusive, and equitable use of AI technologies.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Full paper: 4,000 - 6,000 words
• Short paper: 3,000 - 4,000 words
• Poster: 300-word abstract
• Workshop proposal: 500 - 700 words
• Tutorial proposal: 500 - 700 words

List of Topics

• AI-enhanced pedagogy
  • Personalised learning at scale
  • Adaptive curriculum design
  • AI-powered tutoring and feedback
  • Student engagement through intelligent systems
• Responsible AI and digital ethics in higher education
  • Mitigating bias in AI tools
  • Ensuring data security and privacy
  • Inclusive and equitable access to AI-enhanced learning
  • Ethical decision-making and governance frameworks
• Institutional change and strategy
• EdTech innovation and practice
• Rethinking assessment in the age of AI
  • Automated grading and academic integrity
  • Predictive analytics for student success
  • AI in formative and authentic assessment
  • Learning analytics and data use
  • Student voice and experience

Committees

General Chair

• Professor Chrisina Jayne, Teesside University, UK

Program Chairs

• Dr Andrew Bingham, Teesside University, UK
• Dr Matthew Watson, Teesside University, UK
• Dr Ann  French, Teesside University, UK
• Dr Elias Pimenidis, UWE Bristol, UK

Program Committee

• Professor Zeng-Guang Hou, Institute of Automation, Chinese Academy of Sciences, China
• Professor Irwin King, The Chinese  University of Hong Kong
• Professor Stefania Tomasiello, Iuniversita Degli Studi Di Salerno, Italy
• Professor Taro Toyoizumi, RIKEN, Japan
• Professor Seiichi Ozawa, Kobe University, Japan
• Professor G.  Kumar Venayagamoorthy, Clemson University, USA
• Antonio Ragusa, Rome Business School, Italy
• Professor Petia Georgieva, University of Averio, Portugal
• Professor Anne Canuto, Federal University of RN, Brazil
• Professor Marley Vellasco, Pontifical Catholic University of Rio de Janeiro, Brazil
• Professor Zenglin Xu, Fudan University, China
• Professor Alastair Irons, Abertay University, UK
• Professor Parveen Kaur, University of Warwick 
• Dr Nicky Danino, Leeds Trinity University, UK
• Dr Mike Knowles, Teesside University, UK
• Dr Sam Goonerante, Teesside University, UK
• Dr Annalisa Occhipinti, Teesside University, UK
• Paul Hunter, Teesside University, UK
• Dr Gok Kandasamy, Teesside University, UK
• Dr Jibin He, Teesside University, UK
• Alexandra McMorris, Teesside University, UK
• Jackie Barlow, Teesside University, UK
• Dr Natalie Butcher, Teesside University, UK
• Clare Fletcher, Teesside University, UK
• Dr Chris Massey, Teesside University, UK
• Dr Victoria  Bell, Teesside University, UK
• Dr Jo Noble, Teesside University, UK
• Dr Myriam Mallet, Teesside University, UK

Venue

The conference will be held in Middlesbrough, Digital Life Building, TS1 3BX and in Teesside University London campus, Queen Elizabeth Olympic Park, Here East, Press Centre, London E15 2GW

Contact

All questions about submissions should be emailed to FFL.AI.Conference@tees.ac.uk