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This study investigated the ability to relate a test taker’s non-verbal cues during online assessments to probable cheating incidents. Specifically, this study focused on the role of time delay, head pose and affective state for detection of cheating incidences in

This study investigated the ability to relate a test taker’s non-verbal cues during online assessments to probable cheating incidents. Specifically, this study focused on the role of time delay, head pose and affective state for detection of cheating incidences in a lab-based online testing session. The analysis of a test taker’s non-verbal cues indicated that time delay, the variation of a student’s head pose relative to the computer screen and confusion had significantly statistical relation to cheating behaviors. Additionally, time delay, head pose relative to the computer screen, confusion, and the interaction term of confusion and time delay were predictors in a support vector machine of cheating prediction with an average accuracy of 70.7%. The current algorithm could automatically flag suspicious student behavior for proctors in large scale online courses during remotely administered exams.
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    Title
    • Improving proctoring by using non-verbal cues during remotely administrated exams
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    Date Created
    2015
    Resource Type
  • Text
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    Note
    • Partial requirement for: Ph. D., Arizona State University, 2015
      Note type
      thesis
    • Includes bibliographical references (pages 52-55)
      Note type
      bibliography
    • Field of study: Computer science

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    by Chia-yuan Chuang

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