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Статті в журналах з теми "Educational Timetabling"

Автор: Grafiati

Опубліковано: 21 березня 2023

Оновлено: 26 липня 2025

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1

Zhu, Kaixiang, Lily D. Li, and Michael Li. "A Survey of Computational Intelligence in Educational Timetabling." International Journal of Machine Learning and Computing 11, no. 1 (2021): 40–47. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1012.

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Анотація:

Timetabling problems have been widely studied, of which Educational Timetabling Problem (ETP) is the biggest section. Generally, ETP can be divided into three modules, namely, course timetabling, school timetabling, and examination timetabling. For solving ETP, many techniques have been developed including conventional algorithms and computational intelligence approaches. Several surveys have been conducted focusing on those methods. Some surveys target on particular categories; some tend to cover all types of approaches. However, there are lack of reviews specifically focusing on computationa

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2

Bolaji, Asaju La’aro, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, and Mohammed A. Awadallah. "Artificial Bee Colony Algorithm for Solving Educational Timetabling Problems." International Journal of Natural Computing Research 3, no. 2 (2012): 1–21. http://dx.doi.org/10.4018/jncr.2012040101.

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Анотація:

This paper presents an artificial bee colony algorithm (ABC) for Education Timetabling Problem (ETP). It is aimed at developing a good-quality solution for the problem. The initial population of solutions was generated using Saturation Degree (SD) and Backtracking Algorithm (BA) to ensure the feasibility of the solutions. At the improvement stage in the solution method, ABC uses neighbourhood structures iteratively within the employed and onlooker bee operators, in order to rigorously navigate the UTP search space. The technique was evaluated using curriculum-based course timetabling (CB-CTT)

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3

Haitan, О., and О. Nazarov. "HYBRID APPROACH TO SOLVING OF THE AUTOMATED TIMETABLING PROBLEM IN HIGHER EDUCATIONAL INSTITUTION." Системи управління, навігації та зв’язку. Збірник наукових праць 2, no. 60 (2020): 60–69. http://dx.doi.org/10.26906/sunz.2020.2.060.

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Анотація:

The paper describes a hybrid approach to solving of the automated timetabling problem in higher educational institution based on the ant colony optimization, the genetic algorithm, and the Nelder–Mead method. The ant colony method is the basis of this algorithm, which forms the initial population for the genetic algorithm. The combination of this method with the genetic algorithm and the Nelder–Mead method reduces time of the convergence of an algorithm and eliminates the strong dependence of the results on the initial search parameters, which usually are selected experimentally. The Nelder–Me

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4

M, Pharsana Parveen, and Julia Rose Mary. "Graph Colouring, Class Scheduling and Application in Modern Computer Science." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1065–69. http://dx.doi.org/10.22214/ijraset.2023.49590.

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Анотація:

Abstract: Course timetabling and exam timetabling are two most common academic scheduling problems in any of the educational institution. A desirable schedule combines resources in a way which satisfies essential and preferential constrains. In this paper, we focus on college course timetabling including hard and soft constraints. Our Objective is to inculcate graph colouring approach to obtain a conflict free course graph.

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5

Shadkam, Elham. "An integer mathematical model for the problem of timetabling university exams." BEN Vol:2 Issue:3 2021 2, no. 3 (2021): 11–15. http://dx.doi.org/10.36937/ben.2021.003.003.

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Анотація:

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 timetablin

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6

Fonseca, George H. G., Haroldo G. Santos, Eduardo G. Carrano, and Thomas J. R. Stidsen. "Integer programming techniques for educational timetabling." European Journal of Operational Research 262, no. 1 (2017): 28–39. http://dx.doi.org/10.1016/j.ejor.2017.03.020.

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7

Mazlan, Munirah, Mokhairi Makhtar, Ahmad Firdaus Khair Ahmad Khairi, Mohamad Afendee Mohamed, and Mohd Nordin Abdul Rahman. "Ant colony optimisation for solving university course timetabling problems." International Journal of Engineering & Technology 7, no. 2.15 (2018): 139. http://dx.doi.org/10.14419/ijet.v7i2.15.11371.

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Анотація:

Course timetabling is one of the most important activities faced by any educational institution. Furthermore, the course timetabling process is time-consuming and tiresome as it needs to be prepared for each regular semester. This paper aims to apply the Ant Colony Optimisation (ACO) method to solve the course timetabling problem. This approach is to optimise the properties of the course requirement and minimise various conflicts for the time slot assignation. This method is based on the life of the ant colony in generating automatic timetabling according to the properties (pheromones) such as

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8

Mazlan, Munirah, Mokhairi Makhtar, Ahmad Firdaus Khair Ahmad Khairi, Mohamed Afendee Mohamed, and Mohd Nordin Abdul Rahman. "A study on optimization methods for solving course timetabling problem in university." International Journal of Engineering & Technology 7, no. 2.14 (2018): 196. http://dx.doi.org/10.14419/ijet.v7i2.14.12824.

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Анотація:

Course timetabling is one of the most important processes faced by any educational institution. However, the course timetabling process is time consuming and tiresome as it needs to be done for each regular semester. This paper aims to study on the Optimization methods to solve the course timetabling problem. The study is obtained and discussed by categorizing between the classification of Hard Constraint and Soft Constraint and the classification of Optimization Methods. From the study, it shows that Meta-Heuristics are the mostly method used in solving the course timetabling problem. It is c

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9

de la Rosa-Rivera, Felipe, Jose I. Nunez-Varela, José C. Ortiz-Bayliss, and Hugo Terashima-Marín. "Algorithm selection for solving educational timetabling problems." Expert Systems with Applications 174 (July 2021): 114694. http://dx.doi.org/10.1016/j.eswa.2021.114694.

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10

Ma, Xin Min, and Lin Li Wu. "Research on Timetabling Problems Based on Particle Swarm Optimization Algorithm." Advanced Engineering Forum 6-7 (September 2012): 736–41. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.736.

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Анотація:

A new algorithm for timetabling based on particle swarm optimization algorithm was proposed, and the key problems such as particle coding, fitness function fabricating, particle swarm initialization and crossover operation were settled. The fitness value declines when the evolution generation increases. The results showed that it was a good solution for course timetabling problem in the educational system.

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11

Zhu, Kaixiang, Lily D. Li, and Michael Li. "School Timetabling Optimisation Using Artificial Bee Colony Algorithm Based on a Virtual Searching Space Method." Mathematics 10, no. 1 (2021): 73. http://dx.doi.org/10.3390/math10010073.

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Анотація:

Although educational timetabling problems have been studied for decades, one instance of this, the school timetabling problem (STP), has not developed as quickly as examination timetabling and course timetabling problems due to its diversity and complexity. In addition, most STP research has only focused on the educators’ availabilities when studying the educator aspect, and the educators’ preferences and expertise have not been taken into consideration. To fill in this gap, this paper proposes a conceptual model for the school timetabling problem considering educators’ availabilities, prefere

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12

Sakaliuk, O., and F. Trishyn. "ANALYSIS OF PROCESS CREATION OF THE COURSES TIMETABLING." Automation of technological and business processes 11, no. 2 (2019): 30–35. http://dx.doi.org/10.15673/atbp.v11i2.1370.

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Анотація:

The organization of education for persons who are studying is carried out in accordance with the coursestimetabling. Courses timetabling should provide an effective implementation of the curriculum in full.The problem of creating the courses timetabling has been given sufficient attention during the last decades. But even today,the process of creating the courses timetabling requires a fairly large part of human control. The typical problem of creatingthe courses timetabling is to plan a set of meetings between teachers and students over a period of time that requires someresources and should

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13

Muklason, Ahmad, Ahsanul Marom, and I. Gusti Agung Premananda. "Automated Course Timetabling Optimization Using Tabu-Simulated Annealing Hyper-Heuristics Algorithm." Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika 10, no. 1 (2024): 15–21. http://dx.doi.org/10.23917/khif.v10i1.4835.

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Анотація:

The topic of solving Timetabling Problems is an interesting area of study. These problems are commonly encountered in many institutions, particularly in the educational sector, including universities. One of the challenges faced by universities is the Course Timetabling Problem, which needs to be addressed regularly in every semester, taking into consideration the available resources. Solving this problem requires a significant amount of time and resources to create the optimal schedule that adheres to the predefined constraints, including both hard and soft constraints. As a problem of comput

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14

Ogris, Vid, Tomaž Kristan, Andrej Škraba, Marko Urh, and Davorin Kofjač. "iUrnik: Timetabling for Primary Educational Institutions in Slovenia." Interfaces 46, no. 3 (2016): 231–44. http://dx.doi.org/10.1287/inte.2016.0846.

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15

Pillay, Nelishia. "A review of hyper-heuristics for educational timetabling." Annals of Operations Research 239, no. 1 (2014): 3–38. http://dx.doi.org/10.1007/s10479-014-1688-1.

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16

N, Buvaneswari, and Rekha S. "Timetable Scheduling using Bipartite Graph." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1854–56. http://dx.doi.org/10.22214/ijraset.2022.47641.

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Анотація:

Abstract: In any educational institution, the two most common academic scheduling problems are course timetabling and exam timetabling. A schedule is desirablewhich combines resources like teachers, subjects, students, classrooms in a way to avoid conflicts satisfying various essential and preferential constraints. The timetable scheduling problem is known to be NP Complete but the corresponding optimization problem is NP Hard. This problem is solved using bipartite graph. Hence a heuristic approach ispreferred to find a nearest optimal solution within reasonable running time

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17

Mazlan, Munirah, Mokhairi Makhtar, Ahmad Firdaus Khair Ahmad Khairi, and Mohamad Afendee Mohamed. "University course timetabling model using ant colony optimization algorithm approach." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 72. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp72-76.

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Анотація:

<p>Due to the increased number of students and regulations, all educational institutions have renewed their interest to appear in the number of complexity and flexibility since the resources and events are becoming more difficult to be scheduled. Timetabling is the type of problems where the events need to be organized into a number of timeslots to prevent the conflicts in using a given set of resources. Thus in the intervening decades, significant progress has been made in the course timetabling problem monitoring with meta-heuristic adjustment. In this study, ant colony optimization (A

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18

Mazlan, Munirah, Mokhairi Makhtar, Ahmad Firdaus Khair Ahmad Khairi, and Mohamad Afendee Mohamed. "University course timetabling model using ant colony optimization algorithm approach." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 72–76. https://doi.org/10.11591/ijeecs.v13.i1.pp72-76.

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Анотація:

Due to the increased number of students and regulations, all educational institutions have renewed their interest to appear in the number of complexity and flexibility since the resources and events are becoming more difficult to be scheduled. Timetabling is the type of problems where the events need to be organized into a number of timeslots to prevent the conflicts in using a given set of resources. Thus in the intervening decades, significant progress has been made in the course timetabling problem monitoring with metaheuristic adjustment. In this study, ant colony optimization (ACO) algori

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19

Burke, Edmund K., Barry McCollum, Amnon Meisels, Sanja Petrovic, and Rong Qu. "A graph-based hyper-heuristic for educational timetabling problems." European Journal of Operational Research 176, no. 1 (2007): 177–92. http://dx.doi.org/10.1016/j.ejor.2005.08.012.

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20

Pillay, Nelishia, and Ender Özcan. "Automated generation of constructive ordering heuristics for educational timetabling." Annals of Operations Research 275, no. 1 (2017): 181–208. http://dx.doi.org/10.1007/s10479-017-2625-x.

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21

Khair, Ahmad Firdaus, Mokhairi Makhtar, Munirah Mazlan, Mohamad Afendee Mohamed, and Mohd Nordin Abdul Rahman. "An ant colony algorithm for universiti sultan zainal abidin examination timetabling problem." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 191. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp191-198.

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Анотація:

The real-life construction of examination timetabling problem is considered as a common problem that always encountered and experienced in educational institution whether in school, college, and university. This problem is usually experienced by the academic management department where they have trouble to handle complexity for assign examination into a suitable timeslot manually. In this paper, an algorithm approach of ant colony optimisation (ACO) is presented to find an effective solution for dealing with Universiti Sultan Zainal Abidin (UniSZA) examination timetabling problems. A combinati

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22

Khair, Ahmad Firdaus, Mokhairi Makhtar, Munirah Mazlan, Mohamad Afendee Mohamed, and Mohd Nordin Abdul Rahman. "An ant colony algorithm for universiti sultan zainal abidin examination timetabling problem." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 191–98. https://doi.org/10.11591/ijeecs.v13.i1.pp191-198.

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Анотація:

The real-life construction of examination timetabling problem is considered as a common problem that always encountered and experienced in educational institution whether in school, college, and university. This problem is usually experienced by the academic management department where they have trouble to handle complexity for assign examination into a suitable timeslot manually. In this paper, an algorithm approach of ant colony optimisation (ACO) is presented to find an effective solution for dealing with Universiti Sultan Zainal Abidin (UniSZA) examination timetabling problems. A combinati

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23

Sabar, Nasser R., Masri Ayob, Graham Kendall, and Rong Qu. "A honey-bee mating optimization algorithm for educational timetabling problems." European Journal of Operational Research 216, no. 3 (2012): 533–43. http://dx.doi.org/10.1016/j.ejor.2011.08.006.

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24

Alkallak, Isra Natheer, Ruqaya Zedan Shaban, and Yazen Hudhaifa Shakir Alnema. "Intelligent university timetable scheduling system using sudoku grid with magic square." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1526–34. http://dx.doi.org/10.11591/eei.v11i3.3694.

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Анотація:

Examination timetabling is problem faced by many academic educational institutions. The situation formulated as artificial intelligence problems as Sudoku grid with Magic square. Problem assigning a set of examinations to a fixed number of examination periods so that no student is required to take more than one examination at a time. The research describes two proposed heuristic algorithms to create university examination timetabling and avoiding the overlapping of exams. We proposed two algorithms, the first algorithm is based on Sudoku grid, a number of hard constraints as well as a number o

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25

Firdaus Khair, Ahmad, Mokhairi Makhtar, Munirah Mazlan, Mohamad Afendee Mohamed, and Mohd Nordin Abdul Rahman. "Solving examination timetabling problem in UniSZA using ant colony optimization." International Journal of Engineering & Technology 7, no. 2.15 (2018): 132. http://dx.doi.org/10.14419/ijet.v7i2.15.11369.

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Анотація:

At all educational institutions, timetabling is a conventional problem that has always caused numerous difficulties and demands that need to be satisfied. For the examination timetabling problem, those matters can be defined as complexity in scheduling exam events or non-deterministic polynomial hard problems (NP-hard problems). In this study, the latest approach using an ant colony optimisation (ACO) which is the ant system (AS) is presented to find an effective solution for dealing with university exam timetabling problems. This application is believed to be an impressive solution that can b

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26

Isra, Natheer Alkallak, Zedan Shaban Ruqaya, and Hudhaifa Shakir Alnema Yazen. "Intelligent university timetable scheduling system using sudoku grid with magic square." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1526~1534. https://doi.org/10.11591/eei.v11i3.3694.

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Анотація:

Examination timetabling is problem faced by many academic educational institutions. The situation formulated as artificial intelligence problems as Sudoku grid with Magic square. Problem assigning a set of examinations to a fixed number of examination periods so that no student is required to take more than one examination at a time. The research describes two proposed heuristic algorithms to create university examination timetabling and avoiding the overlapping of exams. We proposed two algorithms, the first algorithm is based on Sudoku grid, a number of hard constraints as well as a number o

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27

Sakaliuk, O., and F. Trishyn. "USING A GENETIC ALGORITHM TO SOLVE THE COURSES TIMETABLING CREATION PROBLEM." Automation of technological and business processes 13, no. 2 (2021): 22–28. http://dx.doi.org/10.15673/atbp.v13i2.2053.

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Анотація:

Creating of courses timetable is an extremely difficult, time-consuming task and usually takes a long time. In many educational institutions, the courses schedule is developed manually. Schedule theory includes problems that are actually less complex than problems in practice, but theoretical analysis provides a fundamental understanding of the complexity of the schedule. The logical result is that the schedule is very difficult to build in practice due to many constraints [1]. Scheduling courses is a planning problem. In 1996, the problem of scheduling was described as the allocation of

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28

Larabi-Marie-Sainte, Souad, Roohi Jan, Ali Al-Matouq, and Sara Alabduhadi. "The impact of timetable on student’s absences and performance." PLOS ONE 16, no. 6 (2021): e0253256. http://dx.doi.org/10.1371/journal.pone.0253256.

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Анотація:

Student’s academic performance is the point of interest for both the student and the academic institution in higher education. This performance can be affected by several factors and one of them is student absences. This is mainly due to the missed lectures and other class activities. Studies related to university timetabling investigate the different techniques and algorithms to design course timetables without analyzing the relationship between student attendance behavior and timetable design. This article first aimed at demonstrating the impact of absences and timetabling design on student’

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29

Guia, Angelita D., and Melvin A. Ballera. "Multi-agent class timetabling for higher educational institutions using prometheus platform." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1679. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1679-1687.

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<p>A in a university setting, class scheduling is vital for teaching and learning process. Academic institutions rely on time tables in their day to day activities. University Course Timeframe problem can be resolved by using multi-agent systems-based method which may increase the independence of each department's class scheduling, adaptability in a distributed environment and prevents conflicts between events or resources, and unforeseen allocation through intervention between agents in a dispersed environment. Class timing is performed manually in most of the higher educational institu

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30

Guia, Angelita D., and Melvin A. Ballera. "Multi-agent class timetabling for higher educational institutions using prometheus platform." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2022): 1679–87. https://doi.org/10.11591/ijeecs.v22.i3.pp1679-1687.

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Анотація:

A in a university setting, class scheduling is vital for teaching and learning process. Academic institutions rely on time tables in their day to day activities. University Course Timeframe problem can be resolved by using multi-agent systems-based method which may increase the independence of each department's class scheduling, adaptability in a distributed environment and prevents conflicts between events or resources, and unforeseen allocation through intervention between agents in a dispersed environment. Class timing is performed manually in most of the higher educational institutions

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31

H P, Appu. "Constraint-Driven Timetabling with Real-Time Updates: Design and Implementation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48599.

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Анотація:

Abstract—The management of academic timetables presents a significant operational challenge for educational institutions worldwide. This paper presents an innovative scheduling system that transforms timetable generation from a time-consuming manual process to an automated, real-time solution. Our ap- proach formulates the scheduling problem as a constraint sat- isfaction challenge, implementing Google’s OR-Tools CP-SAT solver to generate conflict-free timetables that honor essential constraints such as faculty availability, classroom allocation, and curriculum requirements. The system’s disti

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32

Nand, Ravneil, Bibhya Sharma, and Kaylash Chaudhary. "An introduction of preference based stepping ahead firefly algorithm for the uncapacitated examination timetabling." PeerJ Computer Science 8 (September 2, 2022): e1068. http://dx.doi.org/10.7717/peerj-cs.1068.

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Анотація:

In recent times, there has been a growing attention to intelligent optimization algorithms centred on swarm principles such as the firefly algorithm (FA). It was proposed for the continuous domain that mimics the attraction of fireflies to flashing light and has been used in discrete domains via modification. A discrete domain that is a major challenge in most higher education institutes (HEI) is examination timetabling. This article presents a new methodology based on FA for uncapacitated examination timetabling problems (UETP) where the proposed method is an extension of earlier work by the

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33

Kosolap, A. I., and T. M. Dubovik. "OPTIMIZATION OF TIMETABLE AT THE UNIVERSITY." Radio Electronics, Computer Science, Control, no. 3 (October 9, 2021): 175–83. http://dx.doi.org/10.15588/1607-3274-2021-3-15.

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Анотація:

Context. In this paper, we consider a well-known university scheduling problem. Such tasks are solved several times a year in every educational institution. The problem of constructing an optimal schedule remains open despite numerous studies in this area. This is due to the complexity of the corresponding optimization problem, in particular, its significant dimension. This complicates its numerical solution with existing optimization methods. Scheduling models also need improvement. Thus, schedule optimization is a complex computational problem and requires the development of new methods for

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34

Arratia-Martinez, Nancy Maribel, Cristina Maya-Padron, and Paulina A. Avila-Torres. "University Course Timetabling Problem with Professor Assignment." Mathematical Problems in Engineering 2021 (January 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/6617177.

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Анотація:

One of the decision problems in many organizations and institutions is to decide how to schedule different tasks, in particular, in higher education institutions. One of the main problems is the university course timetabling problem (UCTP): this problem consists of the allocation of events (courses, professors, and students) to a number of fixed time slots and rooms, this at the beginning of each academic period of the universities. The existent formulations include particular requirements from different educational levels and institutions, as in our case. In this paper, we focus on the univer

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35

Mokhtari, Mozhgan, Majid Vaziri Sarashk, Milad Asadpour, Nadia Saeidi, and Omid Boyer. "Developing a Model for the University Course Timetabling Problem: A Case Study." Complexity 2021 (December 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/9940866.

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Анотація:

Over recent years, timetable programming in academic settings has become particularly challenging due to such factors as the growing number of students, the variety of lectures, the inadequacy of educational facilities in some areas, and the incorporation of teachers and students’ preferences into the schedule. Many researchers, therefore, have been formulating the problem of timetabling lectures using different methods. In this research, a multiobjective mixed-integer programming model was developed to provide a timetable for the postgraduate courses at the Industrial Engineering Department o

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Palma, Cristian D., and Patrick Bornhardt. "Considering Section Balance in an Integer Optimization Model for the Curriculum-Based Course Timetabling Problem." Mathematics 8, no. 10 (2020): 1763. http://dx.doi.org/10.3390/math8101763.

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University course timetabling is a complex and time-consuming duty that every educational institution faces regularly. It consists of scheduling a set of lectures in predefined time slots so as to avoid student conflicts, meet teacher and room availability, and manage several institution-specific operational rules. In this paper, we schedule courses based on a curriculum, that is, before the students’ registration. Unlike other curriculum-based models, the proposed model considers two practical aspects when managing the conflicts between lectures: (i) it schedules sections of subjects so that

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Boyd, Brian, Mary Simpson, and Margaret Gooday. "Developing a Framework for Effective Learning and Teaching in a Secondary School Setting." Scottish Educational Review 34, no. 2 (2002): 188–202. http://dx.doi.org/10.1163/27730840-03402007.

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This article describes a research study commissioned by a Scottish Council, designed to investigate aspects of educational provision in the first two years of secondary education and with the aim of generating a framework for the development of teaching and learning policies in the Council’s schools. The context for the research included the Council’s best value regime, the advice from HMI to schools on how the quality and outcomes of the educational experiences of pupils in S1 and S2 could be improved, and the concern of the Council at the prospective adoption by schools of practices derived

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Alghamdi, H., T. Alsubait, H. Alhakami, and A. Baz. "A Review of Optimization Algorithms for University Timetable Scheduling." Engineering, Technology & Applied Science Research 10, no. 6 (2020): 6410–17. http://dx.doi.org/10.48084/etasr.3832.

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The university course timetabling problem looks for the best schedule, to satisfy given criteria as a set of given resources, which may contain lecturers, groups of students, classrooms, or laboratories. Developing a timetable is a fundamental requirement for the healthy functioning of all educational and administrative parts of an academic institution. However, factors such as the availability of hours, the number of subjects, and the allocation of teachers make the timetable problem very complex. This study intends to review several optimization algorithms that could be applied as possible s

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Alghamdi, H., T. Alsubait, H. Alhakami, and A. Baz. "A Review of Optimization Algorithms for University Timetable Scheduling." Engineering, Technology & Applied Science Research 10, no. 6 (2020): 6410–17. https://doi.org/10.48084/etasr.3832.

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Анотація:

The university course timetabling problem looks for the best schedule, to satisfy given criteria as a set of given resources, which may contain lecturers, groups of students, classrooms, or laboratories. Developing a timetable is a fundamental requirement for the healthy functioning of all educational and administrative parts of an academic institution. However, factors such as the availability of hours, the number of subjects, and the allocation of teachers make the timetable problem very complex. This study intends to review several optimization algorithms that could be applied as possible s

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Wu, Liping. "The application of Coarse-Grained Parallel Genetic Algorithm with Hadoop in University Intelligent Course-Timetabling System." International Journal of Emerging Technologies in Learning (iJET) 10, no. 8 (2015): 11. http://dx.doi.org/10.3991/ijet.v10i8.5206.

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The university course-timetabling problem is a NP-C problem. The traditional method of arranging course is inefficient, causes a high conflict rate of teacher resource or classroom resource, and is poor satisfaction in students. So it does not meet the requirements of modern university educational administration management. However, parallel genetic algorithm (PGA) not only have the advantages of the traditional genetic algorithm(GA), but also take full advantage of the computing power of parallel computing. It can improve the quality and speed of solving effectively, and have a broad applicat

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Barber, C., R. Taylor, L. Edmonds, et al. "P037 Challenges and Facilitators in Adopting Healthy School Start Times: Key Stakeholders’ Perspectives." Sleep Advances 5, Supplement_1 (2024): A42. https://doi.org/10.1093/sleepadvances/zpae070.119.

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Abstract Introduction School start times no earlier than 9:45 a.m. for senior high students are considered “healthy” school start times (HSSTs) due to their potential to enhance teenagers’ health and well-being by accommodating their natural sleep patterns. Although many schools in Aotearoa New Zealand start one day a week later, daily implementation is rare. This study aimed to identify potential barriers and enablers for implementing HSSTs by gathering perspectives from key stakeholders in the education sector. Methods Semi-structured one-on-one Zoom interviews were conducted with nine key s

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Idiege, Edward Elaunire, and Samuel Eneji Eneji. "Automated Examination Timetable for NCE Programmes of Federal College of Education, Obudu, Cross River State, Nigeria." European Modern Studies Journal 9, no. 1 (2025): 190–99. https://doi.org/10.59573/emsj.9(1).2025.16.

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Timetabling is a critical aspect of academic administration in tertiary institutions, ensuring the efficient allocation of resources such as lecture halls, students, and faculty members for both lectures and examinations. However, manual examination timetable planning is often associated with errors, scheduling conflicts, and inefficiencies, leading to overcrowding, misallocation of resources, and delays. This study aims to design and develop an automated examination timetable system for NCE programmes at the Federal College of Education, Obudu. The system employs Object-Oriented Analysis and

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K, Marimuthu, Moram Ranga Upendra Reddy, Dilip D, and Sathwik B. S. "Examination Timetable Generation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem40166.

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The creation of academic timetables is a complex and time-consuming task for educational institutions, requiring adherence to various constraints such as university regulations, faculty workloads, and resource availability. Traditional manual methods are often inefficient and error-prone, making it essential to develop automated solutions. This paper proposes an intelligent timetable generation system that leverages advanced optimization algorithms, including Evolutionary Algorithms, Tabu Search, Simulated Annealing, and Scatter Search, to address the challenges associated with manual scheduli

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Al-Shurafat, Hashem, John Sands, Gregory Jones, and Claire Beattie. "Obstacles Facing the Development of Forensic Accounting Curricula within Australian Universities: Exploring Perspectives of Practitioners and Educators." Australasian Business, Accounting and Finance Journal 18, no. 2 (2024): 188–95. http://dx.doi.org/10.14453/aabfj.v18i2.12.

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Forensic accounting education has become an increasingly significant issue in recent years. In Australia, universities have acknowledged the industry’s growing relevance, and there have been attempts to address gaps in the provision of forensic accounting education. Despite these efforts, forensic accounting education is frequently omitted in university programs. This paper seeks to identify the obstacles that influence the transformation of forensic accounting knowledge into university programs. To do so, this study explores the perspectives of two groups: forensic accounting practitioners an

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Mangion, Margaret, and Jasmin Antonia Riebel. "Young Creators: Perceptions of Creativity by Primary School Students in Malta." Journal of Intelligence 11, no. 3 (2023): 53. http://dx.doi.org/10.3390/jintelligence11030053.

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Policymakers and employers insist that educational institutions prepare workforce-ready candidates fluent in the application of 21st Century Skills such as creativity. So far, only a few studies have explored the self-perceived creativity of students. This paper addresses this gap in literature by providing an understanding of how young students in upper primary feel about themselves as creative beings. Data for the present study was collected through an anonymous online survey that 561 students, aged 9–11 years and residing in Malta (EU), completed. In-depth responses were collected from a su

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Huda, Nisrina Nafi’atul, I. Gusti Bagus Budi Dharma, and Widya Wasityastuti. "Aplikasi Metode Sequential Three-Stage Integer Goal Programming untuk Penjadwalan Kuliah." Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education 5, no. 1 (2016): 29. http://dx.doi.org/10.22146/jpki.25309.

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Background: One of scheduling problems in educational sector currently was the course scheduling in college or well known as University Course Timetabling Problem (UCTP). The UCTP was comprehensive because of the policy difference among the university, faculties, and departments. The Faculty of Medicine Universitas Gadjah Mada, which organizes a block system has a different and more complex scheduling type than other faculties with non-block system. The porpose of this research was to build a mathematic model of block system UCTP in Faculty of Medicine Universitas Gadjah Mada to optimize the s

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Dye, R. C. F. "A Computer-Generated ‘Pseudo-Experiment’ in Fluid Mechanics." International Journal of Mechanical Engineering Education 31, no. 2 (2003): 143–49. http://dx.doi.org/10.7227/ijmee.31.2.6.

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The paper presents experience in setting up and running a computer-based alternative to a traditional undergraduate laboratory class as part of an introductory course in fluid mechanics. The ‘pseudo-experiment’ is not a computer simulation but provides each individual student with a realistic set of experimental readings (including likely random errors) for a real set of apparatus on which they have earlier conducted a real ‘hands-on’ experiment, and which was available for them to inspect or operate in their own time. Students were expected to process the results supplied and then write the u

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Parnell, Rosie, and Lisa Procter. "Flexibility and placemaking for autonomy in learning." Educational and Child Psychology 28, no. 1 (2011): 77–88. http://dx.doi.org/10.53841/bpsecp.2011.28.1.77.

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Flexibility is a key aspiration of contemporary government guidance on school design. Used liberally, the term provides a convenient site for the meeting of educational approach (think flexible, personalised learning, timetabling, groupings) and spatial design (non-bounded, open space, moveable elements, independent structure and services). However, this meeting seems to pose a challenge. As Building Bulletin 95 puts it: ‘…the most flexibly designed spaces can only work if building users have a flexible attitude.’ Framing flexibility in the discourse of autonomy, this paper contends that it ca

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Bisaya, Lovely Deby, and Kristopher Ngilangil. "Challenges of Multi-grade Teachers in ESL: Basis for the Proposed Enhanced Capacity for Multigrade ESL Teaching." Psychology and Education: A Multidisciplinary Journal 33, no. 9 (2025): 1007–23. https://doi.org/10.70838/pemj.330903.

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This study assessed the specific issues encountered by teachers of various grades, including crucial areas like training, timetable, instructional materials, classroom management, and language barriers. This study used a convergent parallel mixed-methods research design, wherein qualitative and quantitative techniques were combined to examine the challenges of 101 multigrade teachers across the 12 districts in Siargao Division, Philippines, using survey questionnaires, in-depth interviews, and focus group discussions. Purposive sampling was used, whereas frequency count, percentage distributio

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Bisaya, Lovely Deby, and Kristopher Ngilangil. "Challenges of Multi-grade Teachers in ESL: Basis for the Proposed Enhanced Capacity for Multigrade ESL Teaching." Journal of Advanced Studies in Life Sciences 33, no. 9 (2025): 1007–23. https://doi.org/10.70838/pemj.330903.

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Анотація:

This study assessed the specific issues encountered by teachers of various grades, including crucial areas like training, timetable, instructional materials, classroom management, and language barriers. This study used a convergent parallel mixed-methods research design, wherein qualitative and quantitative techniques were combined to examine the challenges of 101 multigrade teachers across the 12 districts in Siargao Division, Philippines, using survey questionnaires, in-depth interviews, and focus group discussions. Purposive sampling was used, whereas frequency count, percentage distributio

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