LA4S – Learning Analytics and Learning Process Management for small size Higher Education Organizations
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 (statement on Learning Analytics and Knowledge from the 1st International Conference from 2011).
LA focus on learning and teaching activities in digital supported learning environments such as Learning Management Systems (LMS). It enables both, learners and teachers to receive feedback and status reports the own learning / teaching track and therefore enables to put quality aspects into learning and teaching processes, emphasizing self-evaluation on individual learning / teaching tracks. Hence, teaching and training will become much more transparent, this enables access on collected data and information for identifying individual key performance indicators for these processes.
The main objective of this project is to integrate already carried out experiences in the research topic 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 like the University of Liechtenstein.
Team:
- Michael Kickmeier-Rust
- Dietrich Albert
Partners: Uni Liechtenstein, TU Graz, Gottfried Wilhelm Leibniz Universität Hannover, Open Universiteit Nederland, Hochschule für Technik und Wirtschaft Berlin
Duration: 01.01.2016 – 31.12.2017 (24 months)
Budget:
- Total Budget: € 300.000,00
- CSS Budget: € 24.000,00