{"id":{"repo_id":"soton","oai_identifier":"oai:eprints.soton.ac.uk:173439"},"canonical_url":"https://search.dev.ndltd.org/etd/soton/oai:eprints.soton.ac.uk:173439","repository":{"repo_id":"soton","name":"University of Southampton","base_url":"https://eprints.soton.ac.uk/cgi/oai2"},"display":{"title":"Presence verification for summative e-assessments","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.","abstract_html":"Influenced by information technology advances, the assessment process has begun to make its way out of the traditional classroom into online environments. The<br/>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,<br/>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<br/><br/>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.<br/><br/>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<br/>results clearly state that, such an approach would significantly improve the detection rate of impersonation attempts during online summative assessments.","abstract_has_math":false,"creators":["Apampa, Kikelomo Maria"],"institution":"University of Southampton","degree_name":"Ph.D.","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Wills, Gary","Argles, David"],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-08","date_published":"2010-08","updated_at":"2026-07-24T04:36:21Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Wills, Gary","Argles, David"]},{"key":"dc:creator","label":"Author","values":["Apampa, Kikelomo Maria"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2010-08"]},{"key":"dc:date.issued","label":"Date","values":["2010-08"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Learning Technology Group (pre 2011 reorg)","School of Electronics and Computer Science"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Southampton"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://eprints.soton.ac.uk/173439/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["Ph.D."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://eprints.soton.ac.uk/173439/1/Kike_Thesis_Full.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Presence verification for summative e-assessments"]}]}],"canonical_facts":{"dc:contributor.advisor":["Wills, Gary","Argles, David"],"dc:creator":["Apampa, Kikelomo Maria"],"dc:date":["2010-08"],"dc:date.issued":["2010-08"],"dc:description.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."],"dc:format":["text"],"dc:identifier.uri":["https://eprints.soton.ac.uk/173439/1/Kike_Thesis_Full.pdf"],"dc:publisher.department":["Learning Technology Group (pre 2011 reorg)","School of Electronics and Computer Science"],"dc:publisher.institution":["University of Southampton"],"dc:relation.isreferencedby":["https://eprints.soton.ac.uk/173439/"],"dc:title":["Presence verification for summative e-assessments"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["Ph.D."]},"updated_at":"2026-07-24T04:36:21Z"}