Improved Mechanism for Detecting Examinations Impersonations in Public Higher Learning Institutions : Case of the Mwalimu Nyerere Memorial Academy.

Lwangisa,, Domition Jasson (2025) Improved Mechanism for Detecting Examinations Impersonations in Public Higher Learning Institutions : Case of the Mwalimu Nyerere Memorial Academy. Masters thesis, The Open University of Tanzania.

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Abstract

Student identification documents, such as ID cards and exam hall tickets, are crucial for verifying exams eligibility in public higher learning institutions. However, these methods have security vulnerabilities, including weak authentication, lack of encryption, and inadequate anti-counterfeiting measures, making impersonation easier. The study focused on enhancing the detection of impersonations in physical examinations in Public Higher Learning Institutions. The main goal was to develop an improved mechanism for detecting impersonations, with specific objectives to identify key technologies, design an enhanced Natural Language Processing (NLP) model, and evaluate the developed model. The research was conducted at the Mwalimu Nyerere Memorial Academy (MNMA) due to its current high enrollment rate with low number of academics, involving 525 respondents including academic staff, ICT officers, and students. A mixed research methodology was adopted, the study used a case study approach with stratified sampling, employing semi-structured interviews, document analysis, and surveys for data collection. The study analyzed data using content analysis, statistics, and probability theory, presenting findings through graphs and UML diagrams. It developed an enhanced NLP model with Laravel, Flutter, and MySQL, integrating QR codes for student authentication through dynamic question generation. Results confirmed model efficiency in improving security and verification with minimal time and cost. Keywords: Impersonations, Examinations, Higher Learning Institution, Impersonations detection, impersonator, Dynamic Challenging questions, QR Code and NLP Model.

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