Enhanced test evaluation for web based adaptive learning paths
Daniel Atorf, Bela-Andreas Bargel, Alexander Streicher, Wolfgang Roller · 2011
In our work we describe an approach for the automatic evaluation of student test results by a web based e-learning application, which considers more criteria than the obvious correctness. This evaluation is focused on the use in adaptive learning paths, meaning that the student's learning path is adapted based on the test results. We describe a concept which integrates the evaluation of more criteria than correctness and how an implementation of such adaptive learning paths could look like in a web based e-learning environment. Our work shows a working prototype which uses the enhanced criteria speed and certainty based upon an evaluation with fuzzy logic algorithms. Finally we present some first results about the acceptance of web based adaptive learning paths.