This resource supports the integration of AI literacy into physiotherapy higher education across Europe. It brings together the regulatory, ethical, and professional foundations that institutions need to understand, a framework of AI competencies for physiotherapy educators and students, and a practical roadmap for embedding those competencies into any European programme — whether well-resourced or just starting out.
A curated, searchable collection of regulatory documents, ethical frameworks, competency standards, and professional guidelines relevant to AI in physiotherapy education. Entries are searchable and filterable by topic category.
An evolving framework of AI competencies for physiotherapy higher education, organized by proficiency level. Each competency is grounded in the literature database and linked directly to supporting references.
A phased roadmap — Explore, Pilot, Embed, Sustain — that any European physiotherapy programme can adapt to integrate AI competencies into their curriculum, with concrete actions linked directly to the competency framework and literature.
The knowledge base is organized into three interconnected sections. The Literature Database contains the regulatory and ethical foundations; use the search and category filters to locate specific documents. The Competency Framework builds on these foundations — it contains two complementary parts: a student framework across six domains and an educator framework across four domains, both linked to relevant literature. The Implementation Roadmap translates the competency framework into a phased institutional action plan, with each action linked back to the relevant competency domains and literature.
Student proficiency levels (Awareness, Understanding, Application, Integration) are independent of curriculum year. Educator proficiency levels (Developing, Practising, Leading) reflect stages of professional development rather than a linear learning arc.
This resource is developed and maintained by the ENPHE Working Group on AI in Physiotherapy Education.
To develop a shared, evidence-based competency framework that supports physiotherapy higher education institutions across Europe in preparing students and educators for responsible, critical, and effective use of artificial intelligence.
The working group combines a structured review of regulatory and ethical literature with collaborative competency development across institutions from multiple European countries. Strategic implementation planning follows competency formulation.
Part of the European Network of Physiotherapy in Higher Education (ENPHE). Visit enphe.org for more information.
Regulatory frameworks, ethical guidelines, competency standards, and professional literature on AI in higher education
For physiotherapy higher education — developed by the ENPHE Working Group on AI in Physiotherapy Education
This framework sets out the AI competencies needed in physiotherapy higher education — organised into two complementary parts. The student framework describes what physiotherapy students should know, understand, and be able to do with AI across their programme. The educator framework describes what physiotherapy lecturers and clinical educators need in order to teach, model, and develop those student competencies. Both frameworks are evidence-based and grounded in the literature database. Click any reference chip to jump directly to that document.
Six domains covering AI foundations, regulatory literacy, ethical reasoning, critical evaluation, professional practice, and academic learning. Four proficiency levels: Awareness, Understanding, Application, Integration.
Four domains covering pedagogical AI literacy, curriculum and assessment design, professional modelling and regulatory practice, and supporting student AI development. Three proficiency levels: Developing, Practising, Leading.
Six domains organised by proficiency level. Proficiency levels are independent of curriculum year — each institution positions competencies within its own programme structure. Click any literature chip to jump to that reference in the database.
Four domains covering the competencies physiotherapy lecturers and clinical educators need to teach, model, and develop student AI literacy. Three proficiency levels reflect stages of professional development rather than a linear learning arc.
A phased framework any ENPHE institution can adapt to integrate AI competencies into their physiotherapy curriculum