Developing a reading concentration monitoring system by applying an artificial bee colony algorithm to e-books in an intelligent classroom

Chia Cheng Hsu, Hsin Chin Chen, Yen Ning Su, Kuo Kuang Huang, Yueh Min Huang

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)

Abstract

A growing number of educational studies apply sensors to improve student learning in real classroom settings. However, how can sensors be integrated into classrooms to help instructors find out students' reading concentration rates and thus better increase learning effectiveness? The aim of the current study was to develop a reading concentration monitoring system for use with e-books in an intelligent classroom and to help instructors find out the students' reading concentration rates. The proposed system uses three types of sensor technologies, namely a webcam, heartbeat sensor, and blood oxygen sensor to detect the learning behaviors of students by capturing various physiological signals. An artificial bee colony (ABC) optimization approach is applied to the data gathered from these sensors to help instructors understand their students' reading concentration rates in a classroom learning environment. The results show that the use of the ABC algorithm in the proposed system can effectively obtain near-optimal solutions.The system has a user-friendly graphical interface, making it easy for instructors to clearly understand the reading status of their students

Original languageEnglish
Pages (from-to)14158-14178
Number of pages21
JournalSensors (Switzerland)
Volume12
Issue number10
DOIs
Publication statusPublished - 2012 Oct

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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