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Presence verification for summative e-assessments

Presence verification for summative e-assessments
Presence verification for summative e-assessments
Influenced by information technology advances, the assessment process has begun to make its way out of the traditional classroom into online environments. The
online summative assessment is a high-stake examination which counts towards a final course mark. Thus, as a result of the important consequences of such summative tests,
security measures are put in place to ensure that only the ‘right’ students are assessed. However, the identity-authentication model adopted for user security is susceptible to impersonation challenges

This thesis introduces the concept of presence verification as an essential extension to the existing identity-authentication user security model. The presence security goal is aimed at ensuring that the correctly authenticated student at the start of a test is the same student throughout the test session. Thus, verifying a student’s presence beyond the initial login procedure minimises the impersonation threats. In order, to embrace the gains of ensuring presence during summative e-assessments, a blob-analysis solution which follows an object tracking approach is proposed. The design of the blobbased presence verification (BlobPV) system involves video processing techniques which can be used to detect, verify and classify a student’s presence status in the test environment. Thereby, indicating the likelihood of acceptable or unacceptable activities.

Experiments were carried to demonstrate the feasibility of a blob-based presence verification system in summative test environments. Additionally, the BlobPV system was evaluated to determine the accuracy of correctly classifying a student’s presence status. For each experiment and evaluation, the methods and results are described. The
results clearly state that, such an approach would significantly improve the detection rate of impersonation attempts during online summative assessments.
Apampa, Kikelomo Maria
76dc5205-f11a-4253-93bb-47d5fa2f8255
Apampa, Kikelomo Maria
76dc5205-f11a-4253-93bb-47d5fa2f8255
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Argles, David
7dd3d276-b2b2-4fb2-a0e8-4058bb01fc37

Apampa, Kikelomo Maria (2010) Presence verification for summative e-assessments. University of Southampton, School of Electronics and Computer Science, Doctoral Thesis, 231pp.

Record type: Thesis (Doctoral)

Abstract

Influenced by information technology advances, the assessment process has begun to make its way out of the traditional classroom into online environments. The
online summative assessment is a high-stake examination which counts towards a final course mark. Thus, as a result of the important consequences of such summative tests,
security measures are put in place to ensure that only the ‘right’ students are assessed. However, the identity-authentication model adopted for user security is susceptible to impersonation challenges

This thesis introduces the concept of presence verification as an essential extension to the existing identity-authentication user security model. The presence security goal is aimed at ensuring that the correctly authenticated student at the start of a test is the same student throughout the test session. Thus, verifying a student’s presence beyond the initial login procedure minimises the impersonation threats. In order, to embrace the gains of ensuring presence during summative e-assessments, a blob-analysis solution which follows an object tracking approach is proposed. The design of the blobbased presence verification (BlobPV) system involves video processing techniques which can be used to detect, verify and classify a student’s presence status in the test environment. Thereby, indicating the likelihood of acceptable or unacceptable activities.

Experiments were carried to demonstrate the feasibility of a blob-based presence verification system in summative test environments. Additionally, the BlobPV system was evaluated to determine the accuracy of correctly classifying a student’s presence status. For each experiment and evaluation, the methods and results are described. The
results clearly state that, such an approach would significantly improve the detection rate of impersonation attempts during online summative assessments.

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More information

Published date: August 2010
Organisations: University of Southampton

Identifiers

Local EPrints ID: 173439
URI: http://eprints.soton.ac.uk/id/eprint/173439
PURE UUID: 3fddc695-61d9-44a2-a3f5-ea22230728bf
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 20 May 2011 09:21
Last modified: 12 Nov 2019 01:59

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Contributors

Author: Kikelomo Maria Apampa
Thesis advisor: Gary Wills ORCID iD
Thesis advisor: David Argles

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