Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations
Covid-19 has been a life-changer in the sphere of online education. With complete lockdown in various countries, there has been a tumultuous increase in the need for providing online education, and hence, it has become mandatory for examiners to ensure that a fair methodology is followed for evaluat...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
|
| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2023/3739975 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849307807517507584 |
|---|---|
| author | Sanaa Kaddoura Shweta Vincent D. Jude Hemanth |
| author_facet | Sanaa Kaddoura Shweta Vincent D. Jude Hemanth |
| author_sort | Sanaa Kaddoura |
| collection | DOAJ |
| description | Covid-19 has been a life-changer in the sphere of online education. With complete lockdown in various countries, there has been a tumultuous increase in the need for providing online education, and hence, it has become mandatory for examiners to ensure that a fair methodology is followed for evaluation, and academic integrity is met. A plethora of literature is available related to methods to mitigate cheating during online examinations. A systematic literature review (SLR) has been followed in our article which aims at introducing the research gap in terms of the usage of soft computing techniques to combat cheating during online examinations. We have also presented state-of-the-art methods followed, which are capable of mitigating online cheating, namely, face recognition, face expression recognition, head posture analysis, eye gaze tracking, network data traffic analysis, and detection of IP spoofing. A discussion on improvement of existing online cheating detection systems has also been presented. |
| format | Article |
| id | doaj-art-29aecaa53722441bb5dfdfc88f3121eb |
| institution | Kabale University |
| issn | 1687-9732 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-29aecaa53722441bb5dfdfc88f3121eb2025-08-20T03:54:37ZengWileyApplied Computational Intelligence and Soft Computing1687-97322023-01-01202310.1155/2023/3739975Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online ExaminationsSanaa Kaddoura0Shweta Vincent1D. Jude Hemanth2College of Technological InnovationDepartment of MechatronicsDepartment of ECECovid-19 has been a life-changer in the sphere of online education. With complete lockdown in various countries, there has been a tumultuous increase in the need for providing online education, and hence, it has become mandatory for examiners to ensure that a fair methodology is followed for evaluation, and academic integrity is met. A plethora of literature is available related to methods to mitigate cheating during online examinations. A systematic literature review (SLR) has been followed in our article which aims at introducing the research gap in terms of the usage of soft computing techniques to combat cheating during online examinations. We have also presented state-of-the-art methods followed, which are capable of mitigating online cheating, namely, face recognition, face expression recognition, head posture analysis, eye gaze tracking, network data traffic analysis, and detection of IP spoofing. A discussion on improvement of existing online cheating detection systems has also been presented.http://dx.doi.org/10.1155/2023/3739975 |
| spellingShingle | Sanaa Kaddoura Shweta Vincent D. Jude Hemanth Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations Applied Computational Intelligence and Soft Computing |
| title | Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations |
| title_full | Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations |
| title_fullStr | Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations |
| title_full_unstemmed | Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations |
| title_short | Computational Intelligence and Soft Computing Paradigm for Cheating Detection in Online Examinations |
| title_sort | computational intelligence and soft computing paradigm for cheating detection in online examinations |
| url | http://dx.doi.org/10.1155/2023/3739975 |
| work_keys_str_mv | AT sanaakaddoura computationalintelligenceandsoftcomputingparadigmforcheatingdetectioninonlineexaminations AT shwetavincent computationalintelligenceandsoftcomputingparadigmforcheatingdetectioninonlineexaminations AT djudehemanth computationalintelligenceandsoftcomputingparadigmforcheatingdetectioninonlineexaminations |