Philippa Hardman
Dr Philippa Hardman is a leading expert in learning science, instructional design, and the use of artificial intelligence in education. She has spent more than 20 years researching how people learn and how learning experiences should be designed. Her main focus is connecting learning science with real-world learning design, using AI to improve the quality, efficiency, and impact of education and training. Her mission is to help educators, organisations, and businesses design better learning experiences powered by AI.
She is the Creator and Founder of DOMS™, a learning design system that combines AI and learning science. Through DOMS™ and its sister method FRAME™, she runs the AI & Learning Design Bootcamp, which is considered the world’s most popular AI course for educators and learning professionals. She also hosts monthly AI bootcamps where she shares practical methods to use AI in education and training.
Dr Hardman works as a specialist AI and education advisor for major global organisations, including OpenAI, KPMG, Novartis, BCG, Salesforce, and Haleon. She is an OpenAI Education Advisor, a LinkedIn Top Voice, an ASU+GSV Woman in AI for 2025–2026, and a TEDx speaker. She regularly delivers keynote talks at global education and technology conferences and appears on podcasts related to AI and learning.
She is an Affiliated Scholar in Digital Humanities at the University of Cambridge, where she continues to research online and digital learning. She has a strong interest in community-first learning models and in moving beyond traditional MOOCs. She has also served on the MK:U Advisory Board at Cranfield University, helping to design innovative higher education curricula.
Previously, she held senior roles at Aula, Construct, and Teach First, where she led community-first and hybrid learning strategies. Her work has improved student engagement and satisfaction at large institutions, including the University of Oxford and Coventry University.
Dr Hardman holds a PhD, Master’s degree, and Bachelor’s degree in History from the University of Sheffield. She has published research on digital learning, gamification, and professional development. In 2023–2024, she won the Innofounder Denmark Award for her work in AI and education innovation.
