Annotation recommendation for online reading activities

Miao Han Chang, Maiga Chang, Rita Kuo, Fathi Essalmi, Vivekanandan S. Kumar, Hsu Yang Kung

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


Both classroom and online learning ask students doing reading activities. The mature and widely used e-readers allow students reading and making annotation on the screen with their computer, tablet, or even smartphone. Annotations will be a very important resource aside from the notes for students while preparing for exams. However, sometimes students might think something is not important or relevant or just simply overlook while making annotations on the materials. Such annotations might lead to lose marks later when they are writing exams. The research team has developed an online annotation system that allows teachers to create online reading activities for their students and review students’ annotations on the e-text. Moreover, with the help of a bioinspired innovative clustering method GRACE (General Rapid Annotation Clustering Enhancement), students will be offered annotation recommendations based on the similarity their annotations have from other students on the same text. In such case, students may reconsider the content they chose to ignore or overlooked earlier and make their annotations more complete and better for exam preparation later.

Original languageEnglish
Title of host publicationLecture Notes in Educational Technology
Number of pages6
Publication statusPublished - 2018

Publication series

NameLecture Notes in Educational Technology
ISSN (Print)2196-4963
ISSN (Electronic)2196-4971


  • Annotation
  • Bio-inspired approach
  • Clustering
  • E-text
  • Recommendation


Dive into the research topics of 'Annotation recommendation for online reading activities'. Together they form a unique fingerprint.

Cite this