International Journal For Multidisciplinary Research

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Evaluating Effectiveness of Student Final Year Project Allocation: a Case Study at Universiti Brunei Darussalam

Author(s) Shiaw Yin Yong, Nur Qalbi Hj. Mohd. Salleh
Country Brunei Darussalam
Abstract The allocation of final year projects is a critical task for universities to ensure that students receive the best possible academic experience. The allocation problem is often complex, and universities face several challenges, including balancing staff workload, taking into consideration students’ preferences as well as allocating resources optimally. This paper presents a Linear Programming approach for optimising student final year project allocation to address the mentioned challenges. By considering students’ preferences, staff workload, and project quality, the proposed model provides an optimal and fair project allocation scheme. The model’s effectiveness was demonstrated through a case study in Mathematical Sciences, Faculty of Science, UBD, using real data. The results obtained from the LP model are both feasible and optimal, indicating that the approach provides an unbiased allocation of supervisors to project students satisfying all constraints. The model allows for flexibility in fine-tuning the allocation scheme, as it can accommodate different levels of quality preferences and student priorities. It is believed that the proposed LP model can provide necessary support for the project coordinator to make informed decisions regarding final year project allocation. The model can also save time and resources by providing solution quickly and efficiently.
Keywords Project allocation, Linear Programming, optimisation, constraints
Field Mathematics
Published In Volume 5, Issue 3, May-June 2023
Published On 2023-06-22
Cite This Evaluating Effectiveness of Student Final Year Project Allocation: a Case Study at Universiti Brunei Darussalam - Shiaw Yin Yong, Nur Qalbi Hj. Mohd. Salleh - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3930
DOI https://doi.org/10.36948/ijfmr.2023.v05i03.3930
Short DOI https://doi.org/gsdk6x
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