BSN Exam Scheduling across Same Semester Courses-Improving Student Success: A Retrospective, Comparative, Descriptive Research Study

Goldsberry, Jennifer; Handwerker, Sarah M.; Moore, Lee R.

doi:10.1016/j.teln.2018.09.001

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Traditional course scheduling is a tedious and complex work, and the courses of electronic engineering specialty are relatively complex, which increases the difficulty of course scheduling. It is not only necessary to make reasonable organization and arrangement for students, teachers, and curriculum specialty but also under the continuous expansion and development of the scale of Electronic Engineering students every year, the education of electronic engineering specialty becomes tenser and tenser and manual course scheduling cannot meet the teaching status of electronic engineering specialty [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Design of Automatic Course Arrangement System for Electronic Engineering Teaching Based on Monte Carlo Genetic Algorithm

Shuai

2021

Security and Communication Networks

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In order to overcome the problems of convergence and low satisfaction in the traditional course scheduling system, a new Electronic Engineering Teaching Automatic Course Scheduling System based on the Monte Carlo genetic algorithm is proposed in this paper. The overall structure and hardware structure of the course scheduling system are designed. The hardware includes system management, course scheduling information input, course scheduling management, and course schedule query. In the software part, the Monte Carlo genetic algorithm is used to optimize the course scheduling optimization process, and a course scheduling scheme more in line with the needs of students and teachers is obtained. The experimental results show that the Monte Carlo genetic algorithm has higher convergence and higher user satisfaction compared with the traditional genetic algorithm. Therefore, it shows that the performance of the course scheduling system has been effectively improved.

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Section: Introductionmentioning

confidence: 99%

Design of Automatic Course Arrangement System for Electronic Engineering Teaching Based on Monte Carlo Genetic Algorithm

Shuai

2021

Security and Communication Networks

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“…There are a limited number of papers on planning university exams, including [26], [27], [28], [29] and [30]. In these papers, more attention has been paid to the method of model solving and no new innovation has been presented regarding the modeling problem, while the main innovation of this paper is the presentation of a new model in this regard.…”

Section: Integer Programmingmentioning

confidence: 99%

An integer mathematical model for the problem of timetabling university exams

Shadkam¹

2021

BEN

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This research is an attempt to create optimized planning in educational units. The problem of university courses timetabling is one of the problems that is very important for educational units; establishing optimal distances to comply with students' study status as well as balancing other constraints of the timetabling problem is one of the challenges in a timetabling problem. Therefore, sometimes an educational unit may not be able to strike a good balance between all the constraints it faces and fail to achieve a proper timing table. In this paper, in order to achieve optimal exam timetabling with an integer scheduling approach, a model for exam timetabling is presented. The purpose of the proposed mathematical model is to maximize the appropriate time intervals that should be established between students' exams. In this mathematical model, according to the number of allowed exam days and the number of possible exam sessions per day, a number of positions have been considered and it is tried to assign these positions to the courses according to the courses related to the students of each entrance. The most important advantage of the proposed model is its simplicity while sufficient accuracy. Therefore, complex methods are not needed to solve this model.

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BSN Exam Scheduling across Same Semester Courses-Improving Student Success: A Retrospective, Comparative, Descriptive Research Study

Cited by 2 publications

References 18 publications

Design of Automatic Course Arrangement System for Electronic Engineering Teaching Based on Monte Carlo Genetic Algorithm

Design of Automatic Course Arrangement System for Electronic Engineering Teaching Based on Monte Carlo Genetic Algorithm

An integer mathematical model for the problem of timetabling university exams

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