Adaptive Sitting Plan Algorithm Based On Henon Chaotic Map

摘要

Examinations are an essential part of colleges, universities and academic institutes, where students go through many stages of evaluation scheme for better assessment. An organized structure of an exam hall with a proper sitting arrangement of students leads the implementation process of examination. A fraudulent behaviour such as cheating in examinations can hamper the efforts of many students; it is the Machiavellian behaviour of students which is being increased with technology and the rapid growth of the internet. In this paper, we have designed two algorithms, the first algorithm generates automatic sitting arrangement plan for examination halls to prevent mismanagement, prohibited material, and cheating during examinations and the second algorithm deals with Henon chaotic map to rescheduled the sitting plan. It is based on the sitting allocation methodology to generate random allocation in classrooms for every exam to prevent cheating from their surrounding locations. To preserve academic integrity, it is required to decrease the possibility of cheating in the examination hall. Maximum utilization of classrooms and less human resources are the main objectives of the proposed algorithms. Proposed work has been applied to university, and it gives a better environment during examination with the less human resource in a less executable time rather than a manual sitting plan allocation methods.