Predicting e-textbook adoption based on event segmentation of teachers' usage

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Customized content of e-textbook require teachers to spend greater efforts using authoring tools and planning activities before class, and teachers with various contexts have different demands on e-textbook. However, some teachers who lack ICT skills and dissatisfy with the features tend to give up using e-textbook. Thus we need to know the status of teachers' usage earlier before we decide to give them some technical supports. This paper describes an analysis method for predicting e-textbook adoption from usage records in early days, and an event segmentation method of teachers' usage is used in effort to provide features of predictive model.

Original languageEnglish
Title of host publicationLAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference
Subtitle of host publicationUnderstanding, Informing and Improving Learning with Data
PublisherAssociation for Computing Machinery
Pages560-561
Number of pages2
ISBN (Electronic)9781450348706
DOIs
StatePublished - 13 Mar 2017
Event7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada
Duration: 13 Mar 201717 Mar 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Learning Analytics and Knowledge, LAK 2017
Country/TerritoryCanada
CityVancouver
Period13/03/1717/03/17

Keywords

  • Event segmentation
  • Feature finding
  • Predictive analytics
  • Technology adoption

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