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Learning Analytics (LA) as a key aspect of Learning Process Management (LPM) supports the measurement, analysis and reporting of data about learners and their contexts for purposes of understanding and optimizing learning and the environments in which it occurs. The main objective of this project is to integrate already carried out experiences in the research field of LA and LPM, in combination with aspects of Learning Semantics (LS) and transfer innovations of these fields into the area of small size Higher Education organizations.

Small size universities such as the University of Liechtenstein, with about 550 students, have less resources available to invest in the modernization of their teaching and training system. Strategic partnership and cooperation with larger European Higher Education Institutions (HEI) that are leaders in research areas such as LA and LPM can help small size universities to get involved and participate in current developments for implementing advanced learning techniques and technologies.


The LA4S project aims to design and prepare a prototype toolset especially developed for small size universities which includes a framework for identifying and supporting learning paths, and provides a structured collection of existing LA Datasets and “ready to use” LA Tools, as well as recommendations covering Ethical Issues, Privacy and Data Protection considerations.


The project results will be available to various stakeholders such as universities, companies and schools allowing them to integrate learning analytics in the most convenient way.