The proposed overarching question for IO1 has been: What are the promising and established practices that are effective in personalising learning with a view to improving outcomes for learners in K-12 education. This has guided the partners in their search through available research and websites. Materials have been referenced with title, year, author and URL, rated, categorized into type and length (time of reading), tagged in agreed available categories (for example personalised learning, CPD, curriculum design) and accompanied with a short description of the main points covered in the material.
The literature guide contains over 50 pieces of literature on how AI, adaptive technologies and other digital tools have the potential to support personalised learning as well as evidence of how effective teacher CPD can improve teachers’ ability to use these technologies. The collection is accompanied with a report that presents what is meant by personalised learning and how adaptive and AI-based tools are being used to support it. The report also examines some of the issues around such use, from privacy and ethics to the nature of the teaching and learning involved while nodding to the next intellectual output in which examples of promising practice will show how personalised learning can and does happen in different educational settings.