Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams
abstract: 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 testin...
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ndltd-asu.edu-item-349212018-06-22T03:06:36Z Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams abstract: 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. Dissertation/Thesis Chuang, Chia-yuan (Author) Femiani, John C. (Advisor) Craig, Scotty D. (Advisor) Bekki, Jennifer (Committee member) Arizona State University (Publisher) Computer science Cognitive psychology Cheating Confusion Head Pose Online Education Time Delay eng 87 pages Doctoral Dissertation Computer Science 2015 Doctoral Dissertation http://hdl.handle.net/2286/R.I.34921 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2015 |
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English |
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Doctoral Thesis |
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Computer science Cognitive psychology Cheating Confusion Head Pose Online Education Time Delay |
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Computer science Cognitive psychology Cheating Confusion Head Pose Online Education Time Delay Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams |
description |
abstract: 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. === Dissertation/Thesis === Doctoral Dissertation Computer Science 2015 |
author2 |
Chuang, Chia-yuan (Author) |
author_facet |
Chuang, Chia-yuan (Author) |
title |
Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams |
title_short |
Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams |
title_full |
Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams |
title_fullStr |
Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams |
title_full_unstemmed |
Improving Proctoring by Using Non-Verbal Cues During Remotely Administrated Exams |
title_sort |
improving proctoring by using non-verbal cues during remotely administrated exams |
publishDate |
2015 |
url |
http://hdl.handle.net/2286/R.I.34921 |
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1718700894904647680 |