A sensor-assisted model for estimating the accuracy of learning retention in computer classroom

Jan Pan Hwang; Ting Ting Wu; Fu Jou Lai; Yueh-Min Huang

doi:10.1109/ICSensT.2011.6137063

A sensor-assisted model for estimating the accuracy of learning retention in computer classroom

Jan Pan Hwang, Ting Ting Wu, Fu Jou Lai, Yueh-Min Huang

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Modern lifestyle is closely associated with information technology, and sensor technology is particularly used, especially in learning and education. This study proposed a sensor-assisted learning system using sensor technology, in order to determine the learning retention of learners in the learning process, and further provide assistance or feedback. The identification rule of this system is constructed based on decision tree algorithm ID3 (C4.5). The system determined the learning retention according to the learners' visual attention recognition, sitting position variability, and physiological signals analysis.

Original language	English
Title of host publication	2011 5th International Conference on Sensing Technology, ICST 2011
Pages	650-654
Number of pages	5
DOIs	https://doi.org/10.1109/ICSensT.2011.6137063
Publication status	Published - 2011 Dec 1
Event	2011 5th International Conference on Sensing Technology, ICST 2011 - Palmerston North, New Zealand Duration: 2011 Nov 28 → 2011 Dec 1

Publication series

Name	Proceedings of the International Conference on Sensing Technology, ICST
ISSN (Print)	2156-8065
ISSN (Electronic)	2156-8073

Other

Other	2011 5th International Conference on Sensing Technology, ICST 2011
Country/Territory	New Zealand
City	Palmerston North
Period	11-11-28 → 11-12-01

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering

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10.1109/ICSensT.2011.6137063

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Hwang, J. P., Wu, T. T., Lai, F. J., & Huang, Y-M. (2011). A sensor-assisted model for estimating the accuracy of learning retention in computer classroom. In 2011 5th International Conference on Sensing Technology, ICST 2011 (pp. 650-654). [6137063] (Proceedings of the International Conference on Sensing Technology, ICST). https://doi.org/10.1109/ICSensT.2011.6137063

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title = "A sensor-assisted model for estimating the accuracy of learning retention in computer classroom",

abstract = "Modern lifestyle is closely associated with information technology, and sensor technology is particularly used, especially in learning and education. This study proposed a sensor-assisted learning system using sensor technology, in order to determine the learning retention of learners in the learning process, and further provide assistance or feedback. The identification rule of this system is constructed based on decision tree algorithm ID3 (C4.5). The system determined the learning retention according to the learners' visual attention recognition, sitting position variability, and physiological signals analysis.",

author = "Hwang, {Jan Pan} and Wu, {Ting Ting} and Lai, {Fu Jou} and Yueh-Min Huang",

year = "2011",

month = dec,

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doi = "10.1109/ICSensT.2011.6137063",

language = "English",

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series = "Proceedings of the International Conference on Sensing Technology, ICST",

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Hwang, JP, Wu, TT, Lai, FJ & Huang, Y-M 2011, A sensor-assisted model for estimating the accuracy of learning retention in computer classroom. in 2011 5th International Conference on Sensing Technology, ICST 2011., 6137063, Proceedings of the International Conference on Sensing Technology, ICST, pp. 650-654, 2011 5th International Conference on Sensing Technology, ICST 2011, Palmerston North, New Zealand, 11-11-28. https://doi.org/10.1109/ICSensT.2011.6137063

A sensor-assisted model for estimating the accuracy of learning retention in computer classroom. / Hwang, Jan Pan; Wu, Ting Ting; Lai, Fu Jou et al.

2011 5th International Conference on Sensing Technology, ICST 2011. 2011. p. 650-654 6137063 (Proceedings of the International Conference on Sensing Technology, ICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Modern lifestyle is closely associated with information technology, and sensor technology is particularly used, especially in learning and education. This study proposed a sensor-assisted learning system using sensor technology, in order to determine the learning retention of learners in the learning process, and further provide assistance or feedback. The identification rule of this system is constructed based on decision tree algorithm ID3 (C4.5). The system determined the learning retention according to the learners' visual attention recognition, sitting position variability, and physiological signals analysis.

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Y2 - 28 November 2011 through 1 December 2011

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A sensor-assisted model for estimating the accuracy of learning retention in computer classroom

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