Evaluation of Online Learning Materials with Automatically Collected Interaction Data
Proceeding
David Sichau, Lukas Fässler, 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 September 1, 2024 from https://www.learntechlib.org/primary/p/173141/.
© 2016 Association for the Advancement of Computing in Education (AACE)
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An Open Learning Analytics Systems Ensuring Students’ Privacy
David Sichau, ETH Zurich, Switzerland; Lukas Fässler, ETH Zürich, Switzerland
EdMedia + Innovate Learning 2018 (Jun 25, 2018) pp. 116–121
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