Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology
Identity verification and proctoring of online students are one of the key challenges to online learning today. Especially for online certification and accreditation, the training organizations need to verify that the online students who completed the learning process and received the academic credi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9427463/ |
| _version_ | 1818641055866683392 |
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| author | Mikel Labayen Ricardo Vea Julian Florez Naiara Aginako Basilio Sierra |
| author_facet | Mikel Labayen Ricardo Vea Julian Florez Naiara Aginako Basilio Sierra |
| author_sort | Mikel Labayen |
| collection | DOAJ |
| description | Identity verification and proctoring of online students are one of the key challenges to online learning today. Especially for online certification and accreditation, the training organizations need to verify that the online students who completed the learning process and received the academic credits are those who registered for the courses. Furthermore, they need to ensure that these students complete all the activities of online training without cheating or inappropriate behaviours. The COVID-19 pandemic has accelerated (abruptly in certain cases) the migration and implementation of online education strategies and consequently the need for safe mechanisms to authenticate and proctor online students. Nowadays, there are several technologies with different grades of automation. In this paper, we deeply describe a specific solution based on the authentication of different biometric technologies and an automatic proctoring system (system workflow as well as AI algorithms), which incorporates features to solve the main concerns in the market: highly scalable, automatic, affordable, with few hardware and software requirements for the user, reliable and passive for the student. Finally, the technological performance test of the large scale system, the usability-privacy perception survey of the user and their results are discussed in this work. |
| first_indexed | 2024-12-16T23:21:05Z |
| format | Article |
| id | doaj.art-99cdc5685e924fb58bd93f3843f4707b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T23:21:05Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-99cdc5685e924fb58bd93f3843f4707b2022-12-21T22:12:10ZengIEEEIEEE Access2169-35362021-01-019723987241110.1109/ACCESS.2021.30793759427463Online Student Authentication and Proctoring System Based on Multimodal Biometrics TechnologyMikel Labayen0https://orcid.org/0000-0001-8136-5324Ricardo Vea1https://orcid.org/0000-0001-9168-2163Julian Florez2Naiara Aginako3https://orcid.org/0000-0002-2156-8215Basilio Sierra4https://orcid.org/0000-0001-8062-9332Smowltech, Donostia, SpainSmowltech, Donostia, SpainVicomtech Research Center, Donostia, SpainComputer Sciences and Artificial Intelligence Department, University of the Basque Country, Donostia, SpainComputer Sciences and Artificial Intelligence Department, University of the Basque Country, Donostia, SpainIdentity verification and proctoring of online students are one of the key challenges to online learning today. Especially for online certification and accreditation, the training organizations need to verify that the online students who completed the learning process and received the academic credits are those who registered for the courses. Furthermore, they need to ensure that these students complete all the activities of online training without cheating or inappropriate behaviours. The COVID-19 pandemic has accelerated (abruptly in certain cases) the migration and implementation of online education strategies and consequently the need for safe mechanisms to authenticate and proctor online students. Nowadays, there are several technologies with different grades of automation. In this paper, we deeply describe a specific solution based on the authentication of different biometric technologies and an automatic proctoring system (system workflow as well as AI algorithms), which incorporates features to solve the main concerns in the market: highly scalable, automatic, affordable, with few hardware and software requirements for the user, reliable and passive for the student. Finally, the technological performance test of the large scale system, the usability-privacy perception survey of the user and their results are discussed in this work.https://ieeexplore.ieee.org/document/9427463/Biometric authenticationcloud computingcomputer visiondata science applications in educationdistance education and online learningmachine learning |
| spellingShingle | Mikel Labayen Ricardo Vea Julian Florez Naiara Aginako Basilio Sierra Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology IEEE Access Biometric authentication cloud computing computer vision data science applications in education distance education and online learning machine learning |
| title | Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology |
| title_full | Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology |
| title_fullStr | Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology |
| title_full_unstemmed | Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology |
| title_short | Online Student Authentication and Proctoring System Based on Multimodal Biometrics Technology |
| title_sort | online student authentication and proctoring system based on multimodal biometrics technology |
| topic | Biometric authentication cloud computing computer vision data science applications in education distance education and online learning machine learning |
| url | https://ieeexplore.ieee.org/document/9427463/ |
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