Year: 2025
Type: article
Abstract: The development of an automated examination allocation system. As student enrollments continue to rise, traditional manual scheduling methods become increasingly time-consuming and prone to errors. To address these challenges, the system automates the assignment of students to exam halls and supervisors, ensuring fairness, accuracy, and optimal use of available resources. It intelligently considers factors such as room capacity, scheduling conflicts, and supervisor availability to generate balanced allocations.
DOI: 10.55041/ijsrem47861
Author: Ms. Sakshi Ulape
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4410360518
FWCI:
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