Evaluation of Online Learning Materials with Automatically Collected Interaction Data

ID: 48563 Type: Full Paper: Case Study
  1. David Sichau and Lukas Fässler, ETH Zurich, Switzerland

Tuesday, June 28 1:30 PM-2:00 PM Location: Pavilion Ballroom C

No presider for this session.

Abstract: One of the challenges of distance learning is that lecturers have no opportunity to directly observe students working with the learning materials. This makes it difficult for lecturers to evaluate the quality of the learning materials. In this paper an approach, based on automatically collected interactions, of students with the learning materials, is proposed to cope with this drawback and allow lecturers to gain feedback but also allow them to gain insight into the way students work with the learning materials. This insight can be used to evaluate the quality of the learning materials and thereby improve them.


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