An approach for identifying affective states through behavioral patterns in web-based learning management systems

Farman Ali Khan, Sabine Graf, Edgar R. Weippl, A. Min Tjoa

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

10 Citations (Scopus)

Abstract

In a learning environment, the students experience different affective states. Learning environments that takes into account the students' affective state enhance the students' learning, gain and experience. Therefore, it is crucial to provide students with different learning material and activities according to different affective states. To provide learning that considers students' affective states, the primary step is the detection of affective states of a student. In this paper, we present an approach for the detection of affective states from the patterns of students' behavior observed during an online course. By calculating the affective states and then filling that affective state data into the student model of a learning management system a basis for adaptivity is provided.

Original languageEnglish
Title of host publicationiiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services
Pages431-435
Number of pages5
DOIs
Publication statusPublished - 2009
Event11th International Conference on Information Integration and Web-based Applications and Services, iiWAS2009 - Kuala Lumpur, Malaysia
Duration: 14 Dec. 200916 Dec. 2009

Publication series

NameiiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services

Conference

Conference11th International Conference on Information Integration and Web-based Applications and Services, iiWAS2009
Country/TerritoryMalaysia
CityKuala Lumpur
Period14/12/0916/12/09

Keywords

  • adaptive learning systems
  • affective states
  • confidence
  • confusion
  • effort
  • human computer interaction
  • independence

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