Enhancement of student e-exam assessment method using face recognition and psychological distress factors
Also available in printed version
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| Format: | Master's thesis |
| Language: | English |
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Universiti Teknologi Malaysia
2025
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| Online Access: | https://utmik.utm.my/handle/123456789/50921 |
| Abstract | Abstract here |
| _version_ | 1854975038627774464 |
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| author | Samson Idemudia |
| author2 | Mohd. Fo'ad Rohani, supervisor |
| author_facet | Mohd. Fo'ad Rohani, supervisor Samson Idemudia |
| author_sort | Samson Idemudia |
| description | Also available in printed version |
| format | Master's thesis |
| id | utm-123456789-50921 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-509212025-08-20T15:19:20Z Enhancement of student e-exam assessment method using face recognition and psychological distress factors Samson Idemudia Mohd. Fo'ad Rohani, supervisor Computing Also available in printed version Currently, electronic-exams scheme has been a very important module in education and teaching realm. Via education and teaching, countries are capable to build skills of their citizens, subsequently; connecting information divide within the country and with other established ones. Thus, there is a need for security control in the e-exam scheme. Security is a vital in e-exam as a web-based solicitation. Lack of trusted, secure and cheating free e-assessment is the main reason for unsuccessfully e-exams. The previous existing e-exam scheme in Nigeria University was using the combination of fingerprint biometric authentication and cryptographic dynamic. This guarantees that the candidate is the correct person on the other side in period of electronic-exams without a need for proctor. We propose a smarter and highly secured approach as a new finding which is the face recognition that will be introduced to enhanced authentication of candidate sitting for e-exam. It automatic the process and a proctor will not be required anymore. The system constantly with a less period of time rage, check for candidate identity throughout the exam time and to make sure the candidate who started the exam is the same person who will finished that exam so that can't be replaced by other person and to prevent cheating by looking at the adjacent computer and the system will generate an early alert once any suspicious movement will be notify by the system. It generates web authentication APIs, Image, Video, action matching and feature extraction. One of the research areas is the student distress related examination. Due to the rapid growth of technology, the students have to cope up with the E-Exams related stress. The present study will try to analyze the existing E-Exams system in Nigeria and their impact on students' distress. The main objectives of this study is to investigate and to analyze the existing student assessment methods of E-Exams system in Nigeria Universities in terms of additional security aspect of view; to develop an improve students assessment methods of E-Exams system by considering Psychological distress aspect. The proposed system has been presented to experts in addition to 29 students as respondent and to study the effect and the benefit of such system in eexam atmosphere fahmimoksen UTM 140 p. Thesis (Sarjana Sains (Keselamatan Maklumat)) - Universiti Teknologi Malaysia, 2016 2025-03-14T03:42:47Z 2025-03-14T03:42:47Z 2016 Master's thesis https://utmik.utm.my/handle/123456789/50921 vital:108987 valet-20180408-15504 ENG Closed Access UTM Complete Unpublished Completion application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Computing Samson Idemudia Enhancement of student e-exam assessment method using face recognition and psychological distress factors |
| thesis_level | Master |
| title | Enhancement of student e-exam assessment method using face recognition and psychological distress factors |
| title_full | Enhancement of student e-exam assessment method using face recognition and psychological distress factors |
| title_fullStr | Enhancement of student e-exam assessment method using face recognition and psychological distress factors |
| title_full_unstemmed | Enhancement of student e-exam assessment method using face recognition and psychological distress factors |
| title_short | Enhancement of student e-exam assessment method using face recognition and psychological distress factors |
| title_sort | enhancement of student e exam assessment method using face recognition and psychological distress factors |
| topic | Computing |
| url | https://utmik.utm.my/handle/123456789/50921 |
| work_keys_str_mv | AT samsonidemudia enhancementofstudenteexamassessmentmethodusingfacerecognitionandpsychologicaldistressfactors |