A low-cost scalable solution for monitoring affective state of students in e-learning environment using mouse and keystroke data

Po Ming Lee, Wei Hsuan Tsui, Tzu-Chien Hsiao*

*Corresponding author for this work

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

4 Scopus citations

Abstract

This study proposed a user-independent intelligent system that reports the affective state of students in a non-intrusive and low-cost manner by utilizing mouse record and keystroke data collected in dynamic world. A scalable client-server architecture for student affective state monitoring in e-learning environment is also demonstrated.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 11th International Conference, ITS 2012, Proceedings
Pages679-680
Number of pages2
DOIs
StatePublished - 22 Jun 2012
Event11th International Conference on Intelligent Tutoring Systems, ITS 2012 - Chania, Crete, Greece
Duration: 14 Jun 201218 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7315 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Intelligent Tutoring Systems, ITS 2012
CountryGreece
CityChania, Crete
Period14/06/1218/06/12

Keywords

  • Affect Detection
  • Client-Server Architecture
  • E-learning
  • Keystroke
  • Mouse Record

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