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Evaluation of Online Learning Materials with Automatically Collected Interaction Data
Proceeding

, , ETH Zurich, Switzerland

EdMedia + Innovate Learning, in Vancouver, BC, Canada ISBN 978-1-939797-24-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

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.

Citation

Sichau, D. & Fässler, L. (2016). Evaluation of Online Learning Materials with Automatically Collected Interaction Data. In Proceedings of EdMedia 2016--World Conference on Educational Media and Technology (pp. 1435-1442). Vancouver, BC, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved October 7, 2022 from .

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