Can Help Seeking Behavior in Intelligent Tutoring Systems Be Used as Online Measure for Goal Orientation?

Christine Otieno, Rolf Schwonke, Ron Salden, Alexander Renkl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Questionnaires to assess goal orientation are widely used. However, recent research indicates some shortcomings. Most significantly, questionnaire data are unable to capture developments and changes in students goal orientation during the learning process. Therefore, it seems appropriate to supplement questionnaire data with online measures that directly tackle students' behavior. We analyzed data of 57 students who participated in a study with the Cognitive Tutor Geometry. Specifically, we analyzed relationships between questionnaire data on goal orientation, the use of hints and a glossary while working with the Tutor as potential online indicators for goal orientation, and learning outcomes. Results of our analyses show that our potential online indicators systematically differ from questionnaire data of goal orientation, yet have high predictive power for learning outcomes. Therefore, online indicators may be used to supplement questionnaire data of goal orientation and/or to further optimize adaptation in intelligent tutoring systems.

Original languageEnglish
Title of host publicationProceedings of the 35th Annual Conference of the Cognitive Science Society
EditorsMarkus Knauff, Natalie Sebanz, Michael Pauen, Ipke Wachsmuth
PublisherCognitive Science Society
Pages1103-1108
Number of pages6
ISBN (Electronic)9780976831891
Publication statusPublished - 2013
Event35th Annual Meeting of the Cognitive Science Society 2013 - Berlin, Germany
Duration: 31 Jul 20133 Aug 2013

Conference

Conference35th Annual Meeting of the Cognitive Science Society 2013
Abbreviated titleCogSci 2013
Country/TerritoryGermany
CityBerlin
Period31/07/133/08/13

Keywords

  • Goal Orientation
  • Intelligent Tutoring Systems
  • Motivation
  • Self-regulated Learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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