Our contribution at this year International Computer Assisted Assessment Conference (CAA 2014) about “Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching” is now online available.
Much has been written lately about the potential of Learning Analyt- ics for improving learning and teaching. Nevertheless, most of the contributions to date are concentrating on the abstract theoretical or algorithmic level, or, deal with academic efficiencies like teachers’ grading habits. This paper wants to fo- cus on the value that Learning Analytics brings to pedagogic interventions and feedback for reflection. We first analyse what Learning Analytics has to offer in this respect, and, then, present a practical use case of applied Learning Analytics for didactic support in primary school Arithmetic.
Reference: Greller, W., Ebner, M., Schön, M. (2014) Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching. In: Computer Assisted Assessment. Kalz, Marco, Ras, Eric (Eds.) -Research into E-Assessment, Communications in Computer and Information Science Volume 439, 2014, pp 79-87. Springer, New York
Our presentation (done by Martin) at this year International Computer Assisted Assessment Conference (CAA 2014) about “Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching” is now online available.
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At this year LAK 2012 Conference on “Learning Analytics and Knowledge” we presented our first results of the netidee project “Multiplication Trainer“. Our publication is also online available:
One of the first and basic mathematical knowledge of schoolchildren is the multiplication table. At the age of 8 to 10 eachchild has to learn by training step by step, or more scientifically, by using a behavioristic learning concept. Due to this fact it can be mentioned that we know very well about the pedagogicalapproach, but on the other side there is rather less knowledgeabout the increase of step-by-step knowledge of the schoolchildren.In this publication we present some data documenting thefluctuation in the process of acquiring the multiplication tables.We report the development of an algorithm which is able to adaptthe given tasks out of a given pool to unknown pupils. For this purpose a web-based application for learning the multiplicationtable was developed and then tested by children. Afterwards so-called learning curves of each child were drawn and analyzed bythe research team as well as teachers carrying out interestingoutcomes. Learning itself is maybe not as predictable as we knowfrom pedagogical experiences, it is a very individualized processof the learners themselves.It can be summarized that the algorithm itself as well as thelearning curves are very useful for studying the learning success.Therefore it can be concluded that learning analytics will becomean important step for teachers and learners of tomorrow.
Reference: Schön, M., Ebner, M., Kothmeier, G. (2012) It’s Just About Learning the Multiplication Table, Conferecnce Proceeding of LAK12: 2nd International Conference on Learning Analytics & Knowledge, 29 April – 2 May 2012, Vancouver, BC, Canada