@inproceedings{0b8bb2e2210b41e1ad0b090a5471e24f,
title = "Usability evaluation plan for online annotation and student clustering system – a tunisian university case",
abstract = "When students learn in schools, they usually annotate words and concepts that they think important in the text. Sometimes students might overlook some important information while studying and they might not be able to answer questions of quizzes or exams properly. If they can be reminded about the potentially important words and concepts, they may achieve better academic performance. The research team develops an online annotation and student clustering system which not only allows teachers can create online reading activities for students and review students{\textquoteright} annotations on the e-text but also clusters students into different groups based on their annotations via bio-inspired clustering approach. This paper talks about the experience and process that the research team had in a Tunisian university to execute an evaluation study.",
keywords = "Annotation, Bio-inspired approach, Clustering, Diffusion of innovation, Usability",
author = "Chang, {Miao Han} and Rita Kuo and Fathi Essalmi and Maiga Chang and Vive Kumar and Kung, {Hsu Yang}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 8th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management, DHM 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017 ; Conference date: 09-07-2017 Through 14-07-2017",
year = "2017",
doi = "10.1007/978-3-319-58463-8_21",
language = "English",
isbn = "9783319584621",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "241--254",
editor = "Duffy, {Vincent G.}",
booktitle = "Digital Human Modeling",
}