Continuous user identification in distance learning: a recent technology perspective
Abstract The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guaran...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-07-01
|
| Series: | Smart Learning Environments |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40561-023-00255-9 |
| _version_ | 1797769329447534592 |
|---|---|
| author | David Portugal José N. Faria Marios Belk Pedro Martins Argyris Constantinides Anna Pietron Andreas Pitsillides Nikolaos Avouris Christos A. Fidas |
| author_facet | David Portugal José N. Faria Marios Belk Pedro Martins Argyris Constantinides Anna Pietron Andreas Pitsillides Nikolaos Avouris Christos A. Fidas |
| author_sort | David Portugal |
| collection | DOAJ |
| description | Abstract The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guarantee the authenticity of the enrolled student, which requires instructors to manually verify their identities, a time-consuming task that compromises academic quality. This article presents a comprehensive review of existing efforts around continuous user identification, focusing on intelligent proctoring systems and automatic identification methods, as well as their applicability in this domain. We conclude that there is a clear need for continuous user identification technology by HEIs, but existing systems lack agile system integration models that combine many inputs, such as face, voice and behavioural data in a practical manner, and encounter numerous barriers related to data protection during implementation. |
| first_indexed | 2024-03-12T21:06:23Z |
| format | Article |
| id | doaj.art-cbad07cd749845b696fad9cccf1dc38b |
| institution | Directory Open Access Journal |
| issn | 2196-7091 |
| language | English |
| last_indexed | 2024-03-12T21:06:23Z |
| publishDate | 2023-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Smart Learning Environments |
| spelling | doaj.art-cbad07cd749845b696fad9cccf1dc38b2023-07-30T11:26:55ZengSpringerOpenSmart Learning Environments2196-70912023-07-0110113410.1186/s40561-023-00255-9Continuous user identification in distance learning: a recent technology perspectiveDavid Portugal0José N. Faria1Marios Belk2Pedro Martins3Argyris Constantinides4Anna Pietron5Andreas Pitsillides6Nikolaos Avouris7Christos A. Fidas8Institute of Systems and Robotics, University of CoimbraInstitute of Systems and Robotics, University of CoimbraCognitive UX GmbHInstitute of Systems and Robotics, University of CoimbraDepartment of Computer Science, University of CyprusCognitive UX GmbHDepartment of Computer Science, University of CyprusDepartment of Electrical and Computer Engineering, University of PatrasDepartment of Electrical and Computer Engineering, University of PatrasAbstract The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guarantee the authenticity of the enrolled student, which requires instructors to manually verify their identities, a time-consuming task that compromises academic quality. This article presents a comprehensive review of existing efforts around continuous user identification, focusing on intelligent proctoring systems and automatic identification methods, as well as their applicability in this domain. We conclude that there is a clear need for continuous user identification technology by HEIs, but existing systems lack agile system integration models that combine many inputs, such as face, voice and behavioural data in a practical manner, and encounter numerous barriers related to data protection during implementation.https://doi.org/10.1186/s40561-023-00255-9Continuous user identificationDistance learningIntelligent proctoring systemsImage-based identificationVoice-based identificationBiometrics |
| spellingShingle | David Portugal José N. Faria Marios Belk Pedro Martins Argyris Constantinides Anna Pietron Andreas Pitsillides Nikolaos Avouris Christos A. Fidas Continuous user identification in distance learning: a recent technology perspective Smart Learning Environments Continuous user identification Distance learning Intelligent proctoring systems Image-based identification Voice-based identification Biometrics |
| title | Continuous user identification in distance learning: a recent technology perspective |
| title_full | Continuous user identification in distance learning: a recent technology perspective |
| title_fullStr | Continuous user identification in distance learning: a recent technology perspective |
| title_full_unstemmed | Continuous user identification in distance learning: a recent technology perspective |
| title_short | Continuous user identification in distance learning: a recent technology perspective |
| title_sort | continuous user identification in distance learning a recent technology perspective |
| topic | Continuous user identification Distance learning Intelligent proctoring systems Image-based identification Voice-based identification Biometrics |
| url | https://doi.org/10.1186/s40561-023-00255-9 |
| work_keys_str_mv | AT davidportugal continuoususeridentificationindistancelearningarecenttechnologyperspective AT josenfaria continuoususeridentificationindistancelearningarecenttechnologyperspective AT mariosbelk continuoususeridentificationindistancelearningarecenttechnologyperspective AT pedromartins continuoususeridentificationindistancelearningarecenttechnologyperspective AT argyrisconstantinides continuoususeridentificationindistancelearningarecenttechnologyperspective AT annapietron continuoususeridentificationindistancelearningarecenttechnologyperspective AT andreaspitsillides continuoususeridentificationindistancelearningarecenttechnologyperspective AT nikolaosavouris continuoususeridentificationindistancelearningarecenttechnologyperspective AT christosafidas continuoususeridentificationindistancelearningarecenttechnologyperspective |