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Maintaining reading experience continuity across e-book revisions.

Christopher Yang1, Brendan Flanagan2, Gokhan Akcapinar2,3

  • 11Graduate School of Informatics, Kyoto University, 36-1 Yoshida-Honmachi, Sakyo-ku, Kyoto, 606-8501 Japan.

Research and Practice in Technology Enhanced Learning
|January 8, 2019
PubMed
Summary
This summary is machine-generated.

This study addresses the challenge of transferring user learning footprints, like highlights and memos, between e-book revisions. The research found that combining image and text similarity is the optimal method for seamless continuity in digital learning.

Keywords:
E-book readerImage similarity processingLearning footprintPage similarity comparisonText similarity processing

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Area of Science:

  • Digital Learning
  • Human-Computer Interaction
  • Educational Technology

Background:

  • E-book readers allow users to create learning footprints (highlights, memos).
  • Instructors can update e-books, but this disrupts continuity of user learning footprints.
  • Maintaining user reading experience across e-book revisions is a significant challenge.

Purpose of the Study:

  • To enable the transfer of learning footprints (markers, memos, bookmarks) across e-book revisions.
  • To maintain user reading experience continuity in a coursework scenario.
  • To identify the optimal method for automatic transfer of learning footprints.

Main Methods:

  • Comparison of three page similarity methods: image level, text level, and image & text level.
  • Utilized similarity computing models to calculate pairwise page similarity.
  • Analyzed the performance of footprint transfer and determined optimal thresholds for page similarity.

Main Results:

  • Evaluated the performance of image, text, and combined image & text similarity methods.
  • Conducted error analysis to identify types of errors in footprint transfer.
  • Identified page image & text similarity as the most effective method.

Conclusions:

  • The combined image & text similarity comparison method is optimal for automatically transferring learning footprints across e-book revisions.
  • This approach effectively maintains user reading experience continuity.
  • Addresses a key shortcoming in current e-book systems.