The immediate next steps go into two directions. One direction is to conduct more case studies with our partners
to gain a better overview and understanding of the various learning analysation processes that different actors
perform and to establish a kind of roadmap or list of best practices for newcomers. Another direction is to
integrate the export towards Excel facility into the tool LAMA we are developing (Dierenfeld 2012). LAMA is
a web application that users can access from Moodle over a Moodle block. Its aim is to support different actors
to analyse user data from learning management systems. It should be adaptable to and by different kinds of
actors according to their needs or skills and therefore have different modes. For the time being we have
identified two modes: the simple mode for a quick overview, and the mode for actors with knowledge on Pivot
Tables. A challenge is to integrate a mode with data mining techniques that non computer scientists can use in a
correct way. We also pursue work in that direction.
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Acknowledgements
This work is partially supported by the “Berlin Senatsverwaltung für Wirtschaft, Technologie und Frauen” with
funding from the European Social Fund. We thank all our partners for their cooperation, particularly André
Krüger and Benjamin Wolf for all their advices and help concerning Moodle.