BIO-INSPIRED CLUSTERING APPROACH BASED ON STUDENTS’ ANNOTATION ON ONLINE READING MATERIALS

Abstract

When students read a book, they usually annotate important words in the text. Students may perhaps miss some important information while reading the book. Students can perform better academically and score well in written exams, quizzes, and other learning activities if they know about the potentially important annotations in advance. With an annotation system’s help, teachers can create online reading activities for students and review students’ annotations on the e-text. This research aims to design and implement a bio-inspired clustering method. The proposed method can cluster students into groups according to their annotations on the online reading materials. The annotation system uses the clustering results to find content that might be important for student. This research implements an Online Annotation System that can let students annotate on the reading activities in different ways and give students annotation reminders base on the clustering results.