Presentation Panel Panel
AI Literacy at Scale in Higher Education
Universities increasingly need students and staff to understand what AI can and cannot do, and how to use it responsibly. This session presents institution-wide approaches to AI literacy, drawing on institutional programmes, team-level dialogue and student perspectives. Speakers examine how policy, curriculum and professional development can work together, and what it takes to move beyond isolated experiments towards a more consistent approach across the university.
Lydia Doornebos
Advisor Learning with Technology , HAN University of Applied Sciences
Lydia Doornebos is a Policy Advisor at HAN University of Applied Sciences, where she leads institutional efforts to build digital, data and AI literacy across the organisation. Her work centres on strengthening these competencies among both students and staff, spanning HR professionalisation policy, open digital learning materials, and the university's AI-Desk and AI-Hub initiatives. She brings over two decades of experience at the intersection of education, learning technology and organisational leadership. Before joining HAN in 2021, she held senior roles including Business Unit Manager at CBT and owner/director of Rubus Opleidingspartners, where she led teams of educational designers in developing innovative learning solutions, e-learning, and assessment programmes. Her background combines management, curriculum design, e-learning development and assessment expertise.
Lydia studied Communication Science and Applied Linguistics at the University of Groningen. She is based in the Netherlands.
Jing Lu
Clinical Assistant Professor, Purdue University
Jing Lu is a Clinical Assistant Professor at Purdue University Libraries and School of Information Studies. Her work focuses on AI literacy, AI pedagogy, information strategies, and inclusive approaches to teaching and learning. She develops and teaches courses and workshops on the responsible and effective use of AI in academic settings, with a particular focus on helping students, faculty, and researchers navigate emerging AI tools and technologies. Jing also leads AI literacy initiatives at Purdue and develops resources to support AI learning across disciplines.
Ilja Boor
Head Teaching and Learning Centre Science, Univeristy of Amsterdam
Ilja Boor, PhD, is Head of the Teaching & Learning Centre Science at the University of Amsterdam and programme lead of the Visible Learning Trajectories Program. As part of the university-wide Teaching & Learning Centre network, she leads and shapes large-scale educational innovation, focusing on programme-level curriculum development, teaching team professionalisation, GenAI and affective learning in higher education.
Annette Q Pedersen
Senior Consultant, e-Learning , University of Copenhagen
Digital educational developer at the University of Copenhagen. Annette Q Pedersen has been working with university teachers' digital competencies development for many years at course, department, faculty and institutional levels. She has led and participated in EU-projects CUTE and CUTIE on the subject (cutie.unak.is). In latter year her focus has been on AI and how it affects students' learning processes, teaching and education in Higher Education. UCPH: https://researchprofiles.ku.dk/en/persons/annette-pedersen/