A Systematic Review of Project Allocation Methods in Undergraduate Transnational Engineering Education

Hussain, Sajjad; Gamage, Kelum A. A.; Sagor, Hasanuzzaman; Tariq, Faisal; Ma, Liang; Imran, Muhammad Ali

doi:10.3390/educsci9040258

Cited by 11 publications

(5 citation statements)

References 38 publications

(56 reference statements)

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“…Following reviews of literatures [24][25][26][27][28][29][30][31][32][33] identifed gap relating to absence of a framework that identifes not only a comprehensive list of criteria but also explicit consideration of contextual factors, along with feedback loops to highlight opportunities for continuous improvement, a framework for efective student-to-supervisor assignment was developed in this study (see Figure 1). Unlike existing studies, this framework incorporates not only identifcation of explicit criteria but also links to both the department (and faculty) goals, in relation to strategic prioritization of fnal year projects, leading to both student performance on fnal year projects and departmental performance.…”

Section: Framework For the Student-to-supervisor Assignmentmentioning

confidence: 99%

An Optimization Model for the Student-to-Project Supervisor Assignment Problem-The Case of an Engineering Department

Ramotsisi

Kgomotso

Seboni

2022

Journal of Optimization

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Purpose. Empirical studies on the topic of assigning university project students to supervisors are currently underexplored. Such studies are critical to success of both the students and the university. Whilst extant research on this topic has contributed to an understanding of student assignments, what appears to be missing is application of a comprehensive framework to inform formulation and validation of a robust solution approach that takes account of both student and supervisor preferences, to optimize a real-life student-to-project supervisor assignment problem. Methodology. Questionnaire and interview surveys with project coordinators, project supervisors, head of department and students were conducted to identify factors surrounding the student-to-project supervisor assignment, through a case study approach in a university department offering engineering degree programs. This study not only develops a framework to understand an effective student-to-project supervisor assignment decision but also applies it in practice, through a case study in a University department offering engineering degree programs. An integer linear programming model was developed and implemented in an optimization software to optimize the student-to-project supervisor assignment, using data from the case study. Findings. Using OpenSolver, validated model results show improvements in matching both students and project supervisors’ preferences, whilst complying with supervisors’ workloads. These results also reveal an improvement in minimizing the project coordinator’s time in doing the assignment by introducing a standardized approach that concurrently considers all variables in a consistent manner. Originality. The contribution lies in: (1) development of a robust framework for student-to-supervisor assignments, (2) explicit consideration of contextual factors that recognize different assignment scenarios, (3) identification of feedback loops to recognize not only the need for continuous improvement in student-to-supervisor assignments but also links to performance in final year projects, (4) unique insights to guide project coordinators in relation to an efficient, effective, comprehensive, and standardized approach to the student-to-project supervisor assignment, and (5) a deeper understanding of a comprehensive range of factors that play a role in student-to-project supervisor assignments in higher education institutions.

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Section: Framework For the Student-to-supervisor Assignmentmentioning

confidence: 99%

An Optimization Model for the Student-to-Project Supervisor Assignment Problem-The Case of an Engineering Department

Ramotsisi

Kgomotso

Seboni

2022

Journal of Optimization

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“…From outcome conclude that in a short period, even for large cases of problems, the proposed genetic algorithm can provide solutions that are very similar to the optimal solutions. Also in 2019 S. Hussain et al [20] conducted a general study on the methods and strategies used to allocate the projects used in several previous researches studies. The authors concentrate on the project allocations in transnational education (TNE) contexts in the two largest TNE programs in Chinese universities with a focus on solving the most prominent challenges and difficulties that are faced.…”

Section: Smodi Et Almentioning

confidence: 99%

Optimum Allocation of Graduation Projects: Survey and Proposed Solution

Gani

tayyeh

Hamid

2021

J. Al-Qadisiyah Comp. Sci. Math.

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The final year project is an important part of obtaining a Graduation certificate in scientific and engineering universities. To ensure high quality in the completion of graduation projects, the project allocation process must be efficient and fair among students. Optimum allocation of graduation projects ensures a great experience for students and exceptional learning of new technologies from that projects, which may contribute to expanding students' future horizons. In this work, we review a wide range of research for the allocation project strategies that are used in various universities, in addition to the factors that have an effective impact on the selection of graduation projects by students. We also highlight the problems that these strategies tried to solve, in addition to those that they failed to solve. Finally, we present a modern idea to overcome too many problems that were presented in the literature discussion where the proposed system is based mainly on the student development level during the study stage.

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“…We also present the factors impacting the design allocations, particularly TNE vittles. Eventually, we describe the challenges associated with the design allocations in the TNE script, along with proposing some possible results to address these challenges [14].…”

Section: Introductionmentioning

confidence: 99%

Development of An Android-Based Visual Implementation of Student Project Allocation System

Abisha,

Aishwaryalakshmi,

Sneka

et al. 2022

International Journal of Advanced Network, Monitoring and Controls

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Technology is everyplace we go in moment's life. So, scholars of seminaries or sodalities, or universities bear an operation that supports smartphones to get all types of information related to examination, lecture notes, placement, systems regarding announcement, events, transportation, etc. Rather of calling systems because nearly all mobile druggies have smartphones currently. This being system takes a pupil list and allocates administrators to scholars. Using a manual system in the management and allocation of projects to students is characterized by many problems, including the Inability of the project Guide to know that a title has been approved already for a student. Difficulty and inappropriate documentation of allocated project topics. Ineffective in entering, updating, and retrieving records of allocated projects. Difficulty in accessing the project Guide for approval of the topic. Duplication in project topics approved for students. We designed an operation to attain the demand of scholars. The main ideal of the pupil design allocation system is to make a system that will give information for each pupil. Projects can efficiently be allocated to students without delay, and topic conflict between students in the same department will not arise here. Pupil updates can be fluently penetrated if the database system is enhanced. This design will give a fruitful way to manage data at a low cost. The Student Project Allocation contains colorful options similar as login/logout, viewing and streamlining data, etc. It'll be secure. Data can be used by only those with an id and word while maintaining the data.

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A Systematic Review of Project Allocation Methods in Undergraduate Transnational Engineering Education

Cited by 11 publications

References 38 publications

An Optimization Model for the Student-to-Project Supervisor Assignment Problem-The Case of an Engineering Department

An Optimization Model for the Student-to-Project Supervisor Assignment Problem-The Case of an Engineering Department

Optimum Allocation of Graduation Projects: Survey and Proposed Solution

Development of An Android-Based Visual Implementation of Student Project Allocation System

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