Position paper: Data for AI research (DAIR) infrastructure: advancing educational research and practice

The project represents a report that introduces a data infrastructure that a) integrates data from multiple sources, b) enables various access permissions to differentstakeholders, c) provides model building and algorithm development within the data lake, and d) allows for the implementation of real-time analysis outputs including adaptive feedback and dashboards for both learners and teachers. This technical environment is foundation to the utilisation of artificial intelligence in knowledge processes and to establish advanced applications such as personal knowledge graphs and contextual learning supports that are indicative of true personalised learning and sensemaking, simultaneously advancing research and practice of teaching and learning.