Interleaved learning: A design science approach and field experiment

  • Tao Li
  • , De Liu
  • , Yufang Wang
  • , Sean Xin Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Motivated by a lack of attention to learning strategies in online personalized e-learning, we design and test a new knowledge-map-enhanced interleaving learning design that challenges learners with a mix of different learning topics but reduces their intrinsic cognitive workload by exposing learners the prerequisites of these topics. Our design goal is to offer a better trade-off between exploring more knowledge gaps and exploiting one such gap, and thus help not only strong learners but also weak ones. Our pilot field experiment using 704 high school students in their English reading assignments provides initial support for our design.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information Systems 2018, ICIS 2018
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683173
StatePublished - 2018
Event39th International Conference on Information Systems, ICIS 2018 - San Francisco, United States
Duration: Dec 13 2018Dec 16 2018

Publication series

NameInternational Conference on Information Systems 2018, ICIS 2018

Conference

Conference39th International Conference on Information Systems, ICIS 2018
Country/TerritoryUnited States
CitySan Francisco
Period12/13/1812/16/18

Bibliographical note

Publisher Copyright:
© International Conference on Information Systems 2018, ICIS 2018.All rights reserved.

Keywords

  • Design science
  • Field experiment
  • Interleaved learning
  • Knowledge map
  • Learning sequencing

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