Publications

The Centre for AI in Education shares its work through academic publications, submitted manuscripts, practical frameworks, project outputs, talks and sector-facing resources.

These outputs reflect our focus on responsible AI use, educational innovation, assessment practice, inclusion, governance and evidence-informed adoption of AI in education.

Publications

  • Madhav Ram, A., Saravi, S., Yang, Y. et al. The AI scaffold and engagement spectrum as a novel UDL-aligned system for supporting students with dyslexia. Educ Inf Technol (2026). https://doi.org/10.1007/s10639-026-13934-0

Dissemination

The Centre for AI in Education shares its work through sector-facing events, invited talks, conference presentations, workshops, professional networks and external articles. These activities connect Loughborough’s practice with wider conversations about responsible AI use, assessment, feedback, inclusion, governance and educational innovation.

QAA Quality Insights Conference 2025

Members of the Centre for AI in Education contributed to QAA’s Quality Insights Conference 2025, sharing work on the use of artificial intelligence to support formative assessment feedback in higher education. The session focused on how AI can assist teaching staff in generating timely feedback for students while keeping academic judgement central.

  • QAA’s conference report highlighted the Centre’s work as part of wider sector discussion on how assessment and feedback practices are being reconsidered in response to generative AI.

OR66 Annual Conference 2024

Members of the AI in Education team presented work at OR66, the Operational Research Society’s annual conference, as part of the Responsible OR and AI session.

  • Responsible Use of AI in Assessment Feedback Generation
    This presentation shared work on AI-powered formative assessment feedback, focusing on how AI can support timely and personalised feedback while addressing trust, transparency and responsible use in higher education.

  • Enhancing EDI through the Integration of Large Language Models and AI
    This presentation shared work on the use of large language models and AI avatars to support Equity, Diversity and Inclusion learning. The project used AI-generated interview scenarios to help participants recognise and reflect on unconscious bias in professional contexts.

EDI in STEMM 2024 poster presentation

  • AI for detecting unconscious bias in interviews
    This poster presented work on using AI to support reflection on unconscious bias in job interview contexts. It explored how AI-supported interview scenarios can help participants recognise bias, review decision-making and consider fairer recruitment practices.

Invited keynote speaker, International Conference on building cultural bridges (ICBCB), Kazakhstan, 2024

Dr Sara Saravi was invited to deliver a keynote address on the use of artificial intelligence in education, focusing on responsible innovation, inclusive educational practice and the opportunities and challenges created by emerging AI technologies. The keynote demonstrates the Centre’s contribution to international discussion on AI in education and its role in connecting practical educational innovation with wider academic and professional audiences.

  • Invited speaker contribution
    SDU University, Kazakhstan, 2024

    Dr Firat Batmaz was recognised for his invited contribution as a guest speaker at SDU University, Kazakhstan, sharing work linked to artificial intelligence and education. The contribution reflects the Centre’s international engagement and its role in sharing practice on responsible and practical AI use in education.

Sector engagement

Members of the Centre for AI in Education regularly share practice, reflections and emerging thinking through sector-facing articles, professional outlets and invited contributions. The items below can be included as article cards or a chronological list on the website.

  • Ensuring AI Reliability in Education
    Inside OR, July 2024 | Dr Firat Batmaz and Dr John R. Woodward
    This feature reports on the Assurance of AI in Education workshop held at Loughborough University, focusing on trust, transparency, ethics, data protection, stakeholder engagement and practical assurance mechanisms for AI use in education.

  • The Human Element in Integrating Generative AI into Education
    Inside OR, September 2024 | Dr Firat Batmaz and Dr John R. Woodward
    This article discusses why human connection, educator judgement and accessible user interfaces remain essential when introducing generative AI into education.

  • Embracing AI in Educational Assessment by Learning from Mistakes
    Inside OR, November 2024 | Dr John R. Woodward and Dr Firat Batmaz
    This article argues for a measured approach to using AI in formative assessment, starting with low-risk activities where mistakes can be identified and corrected before higher-stakes use.

  • Unlocking Educational Data Potential
    Inside OR, January 2025 | Dr Firat Batmaz and Dr John R. Woodward
    This article explores how Retrieval-Augmented Generation can help universities make better use of educational data, while recognising the need for data governance, intellectual property safeguards and phased implementation.

  • Strategic Ways to Bring AI into Education
    Inside OR, March 2025 | Dr Firat Batmaz and Dr John R. Woodward
    This article outlines practical routes for AI adoption in education, including partnerships with developers, open-source tools, interdisciplinary collaboration and institutional support for staff.

  • Exploring the Role of AI in Academic Essay Writing
    April 2025 newsletter | Dr Firat Batmaz
    This article considers how AI can influence different stages of academic essay writing, from idea generation and organisation to drafting, reviewing and editing, while warning against over-reliance.

  • Managing the Use of AI in Student Programming Work
    Inside OR, July 2025 | Dr Firat Batmaz
    This article examines the role of AI in programming coursework and argues for assessment design that supports learning, transparency and academic integrity while recognising the realities of AI use by students.

  • Integrating AI in Education with a Human-Centred Approach
    Inside OR, September 2025 | Dr Firat Batmaz
    This feature reflects on the development of AI in education since the Assurance of AI in Education workshop, highlighting assessment, academic writing, educational data, programming education and the need to keep AI aligned with educational values.

  • AI in Higher Education When Impact Matters More Than Integration
    Inside OR, March 2026 | Dr Firat Batmaz
    This article argues that universities should evaluate AI adoption through educational value, cost efficiency and income protection, rather than treating integration itself as the main goal.