Abstract
While there is high potential in using learning analytics to provide educational institutions as well as teachers and learners with actionable information and improve learning experiences, currently only very few learning analytics tools are actually used in educational institutions. In this paper, we introduce MORPH, a platform that facilitates the integration of learning analytics modules and tools into institutional learning systems. MORPH provides a robust distributed architecture which combines batch, stream and real-time data processing using a parallel processing model to enable and support efficient processing of large amounts of data. Furthermore, it provides common management and administration features that enable the seamless integration of learning analytics research modules and tools into existing institutional learning systems.
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