A preliminary usability evaluation for online annotation and student clustering system

Miao Han Chang, Rita Kuo, Fathi Essalmi, Maiga Chang, Vive Kumar, Hsu Yang Kung

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

Abstract

This research evaluated an annotation recommendation system – GRACE (General Rapid Annotation Clustering Enhancement) – which gives suggestions of what annotations might be missing when students were reading the teaching materials. A pilot is done in two computer science classes in a college in Tunisia. The results show that system’s usability is acceptable for students doing online reading activities on GRACE.

Original languageEnglish
Title of host publicationICCE 2019 - 27th International Conference on Computers in Education, Proceedings
EditorsMaiga Chang, Hyo-Jeong So, Lung-Hsiang Wong, Ju-Ling Shih, Fu-Yun Yu, Michelle P. Banawan, Ben Chang, Weiqin Chen, Andrei D. Coronel, Swapna Gottipati, H. Ulrich Hoppe, Morris S.Y. Jong, Calvin Liao, Jon Mason, Fan Ouyang, Patcharin Panjaburee, Ma. Mercedes T. Rodrigo, Yanjie Song, Niwat Srisawasdi, Ahmed Tlili, Chengjiu Yin
Pages647-650
Number of pages4
ISBN (Electronic)9789869721448
Publication statusPublished - 19 Nov. 2019
Event27th International Conference on Computers in Education, ICCE 2019 - Kenting, Taiwan, Province of China
Duration: 2 Dec. 20196 Dec. 2019

Publication series

NameICCE 2019 - 27th International Conference on Computers in Education, Proceedings
Volume2

Conference

Conference27th International Conference on Computers in Education, ICCE 2019
Country/TerritoryTaiwan, Province of China
CityKenting
Period2/12/196/12/19

Keywords

  • Annotation
  • Bio-inspired approach
  • Clustering
  • Diffusion of innovation
  • Usability

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