Готові списки джерел за темами / Educational Timetabling

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Добірка наукової літератури з теми "Educational Timetabling"

Автор: Grafiati
Опубліковано: 21 березня 2023
Оновлено: 26 липня 2025

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Статті в журналах з теми "Educational Timetabling"

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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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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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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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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Більше джерел

Дисертації з теми "Educational Timetabling"

1

Lindén, Carl, and Alexander Silasson. "Villkor för effektiva schemaläggningsprocesser : En flerfallsstudie i gymnasieskolan." Thesis, KTH, Skolan för teknikvetenskaplig kommunikation och lärande (ECE), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218406.

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Анотація:
I den här studien undersöks schemaläggningsprocesser i gymnasieskolan. Schemaläggning i skolan är en komplex verksamhet som har stor påverkan på lärares arbetsvillkor och elevers förutsättningar för lärande. Därför är det av stor betydelse att schemaläggningen håller hög kvalitet. Till följd av skolreformer på 1990-talet decentraliserades beslutsfattandet över schemaläggningen. Decentraliseringen ställer stora krav på enskilda skolors ansvarstagande, vilket innebär att lokala förutsättningar får stor betydelse för schemaläggningens resultat. Det är därför av intresse att undersöka vilka faktor
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Sears, Jessica Amy. "Curriculum Evaluation: The Logistics, Process and Status of Personal Development, Health and Physical Education and School Sport in NSW Government Schools." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/26946.

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Анотація:
Whilst in recent decades there have been international concerns regarding the health of school students, there have been concurrent, paradoxical challenges to the status of PDHPE and SS. This study provides empirical evidence to enhance understanding of the position of PDHPE and SS in schools by examining three aspects of curriculum implementation through the lens of the ecological paradigm; investigating (I) the logistics of ‘how’ PDHPE and SS are delivered, (II) the process and product of curriculum implementation, and (III) the status of this curriculum area. A survey of a proportional stra
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(9847946), Kaixiang Zhu. "Educational timetabling using computational intelligence algorithms." Thesis, 2022. https://figshare.com/articles/thesis/Educational_timetabling_using_computational_intelligence_algorithms/22306684.

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Анотація:
Educational timetabling is a fundamental part of the effective operation of schools and universities. Teaching quality, smoothness of school administration and operation cost-efficiency can all be affected negatively by problems with the timetabling. Educational timetabling problems (ETPs) can be categorised into three types: course timetabling problems, school timetabling problems and examination timetabling problems. Course timetabling allocates educational activities, such as lectures and tutorials, to timeslots, classrooms or other educational facilities, subject to the relevant constraint
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4

Southwell, Ellen Mary. "Decision support systems for university timetabling." Thesis, 1991. https://vuir.vu.edu.au/15697/.

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Анотація:
Decision support systems developed for examination and class timetabling at Footscray Institute of Technology are described, and the organisational and human factors behind computerised timetabling are discussed. An original and practical method using graph theory produces from current enrolments, examination schedules which are clash-free to students and acceptable to staff. Simple data base methods are provided for class and room scheduling and recording.
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Книги з теми "Educational Timetabling"

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Great Britain. Inspectorate of Schools. and Great Britain. Scottish Education Dept., eds. Curriculum, staffing and timetabling: A commentary on aspects of secondary school management. H.M.S.O., 1990.

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2

Great Britain. Qualifications and Curriculum Authority. Designing and timetabling the primary curriculum: A practical guide for key stages 1 and 2. Qualifications and Curriculum Authority, 2002.

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Частини книг з теми "Educational Timetabling"

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Kingston, Jeffrey H. "Educational Timetabling." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39304-4_4.

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van der Berg, Servaas, and Bianca Böhmer. "South Africa: COVID-19 Learning Losses and Attempts at Recovery in a Poorly Performing and Unequal Education System." In Evaluating Education: Normative Systems and Institutional Practices. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69284-0_11.

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Анотація:
AbstractThe COVID-19 pandemic significantly affected education in South Africa. School closures, rotational timetabling, remote learning challenges and higher absenteeism compounded educational disparities. PIRLS 2021 results demonstrate significant learning loss in Grade 4 reading achievement, with a decline of 31 PIRLS points since 2016, equivalent to 50–60% of a year’s learning. The proportion of extremely low performers doubled to over a quarter. Socio-economically disadvantaged students were disproportionately affected. Pandemic-induced curriculum adaptations and lenient promotion policie
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de Souza Alencar, Wanderley, Hugo Alexandre Dantas do Nascimento, Walid Abdala Rfaei Jradi, Fabrizzio Alphonsus A. M. N. Soares, and Juliana Paula Felix. "Information Visualization for Highlighting Conflicts in Educational Timetabling Problems." In Advances in Visual Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33720-9_21.

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Ng, W. Y. "TESS: an interactive support system for school timetabling." In Information Technology in Educational Management for the Schools of the Future. Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35090-5_17.

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Alves, Shara S. A., Saulo A. F. Oliveira, and Ajalmar R. Rocha Neto. "A Recursive Genetic Algorithm-Based Approach for Educational Timetabling Problems." In Designing with Computational Intelligence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44735-3_9.

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de Souza Alencar, Wanderley, Walid Abdala Rfaei Jradi, Hugo Alexandre Dantas do Nascimento, Juliana Paula Felix, and Fabrízzio Alphonsus Alves de Melo Nunes Soares. "An Empirical Methodological Study of Evaluation Methods Applied to Educational Timetabling Visualizations." In Advances in Visual Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64556-4_17.

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Thepphakorn, Thatchai, Saisumpan Sooncharoen, and Pupong Pongcharoen. "Academic Operating Costs Optimisation Using Hybrid MCPSO Based Course Timetabling Tool." In Blended Learning. Education in a Smart Learning Environment. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51968-1_28.

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Zhu, Kaixiang, Lily D. Li, and Michael Li. "Developing an Online Examination Timetabling System Using Artificial Bee Colony Algorithm in Higher Education." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93479-8_7.

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Jain, Rituraj, Kumar J. Parmar, Damodharan Palaniappan, and T. Premavathi. "Employment of AI in Higher Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7949-3.ch003.

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Анотація:
AI deployment in higher learning is consequently changing the dynamics in the functioning mode of institutions and modes of delivery of knowledge. This chapter covers the prospects, issues and strategies associated with adoption of AI in an environment of higher learning and teaching: its use, deployment, and promotion. Technologies powered by AI have been adopted in higher learning institutions to improve the management functions interference such as admission, timetabling and assessment. University education however should create AI setups where all students are accorded the necessary consid
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Newbie, David. "Assessment." In Medical Education in the Millennium. Oxford University PressNew York, NY, 1998. http://dx.doi.org/10.1093/oso/9780192623997.003.0008.

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Abstract It is impossible to overestimate the importance of assessment. Involvement of teachers in developing assessment procedures is almost certainly the most critical educational task they will undertake. The methods they select and the content they include will have profound effects not only on what students learn but also on how students learn. Yet, in many institutions, assessment practices misdirect student learning activities in ways that may seriously undermine the aims of the curriculum. In addition, the organization and preparation of undergraduate examinations are often left to jun
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Тези доповідей конференцій з теми "Educational Timetabling"

1

Moreira, Éber Júnio Borges, and Sergio Antonio Andrade De Freitas. "A CP-SAT Approach for Academic Resource Timetabling in Higher Education Institutions: A Case Study at a Major Public University." In 2024 21st International Conference on Information Technology Based Higher Education and Training (ITHET). IEEE, 2024. https://doi.org/10.1109/ithet61869.2024.10837617.

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2

Alves, Shara S. A., Saulo A. F. Oliveira, and Ajalmar R. Rocha Neto. "A novel educational timetabling solution through recursive genetic algorithms." In 2015 Latin America Congress on Computational Intelligence (LA-CCI). IEEE, 2015. http://dx.doi.org/10.1109/la-cci.2015.7435955.

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Dantas, Lucas H. A., Romerito C. Andrade, and Leonardo C. T. Bezerra. "High school timetabling at a federal educational institute in Brazil." In 2022 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2022. http://dx.doi.org/10.1109/cec55065.2022.9870388.

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Alencar, Wanderley, Hugo Dantas do Nascimento, Fabrizzio Soares, and Humberto Longo. "Visualization Methods for Educational Timetabling Problems: A Systematic Review of Literature." In 10th International Conference on Information Visualization Theory and Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007375800002108.

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Alencar, Wanderley, Hugo Dantas do Nascimento, Fabrizzio Soares, and Humberto Longo. "Visualization Methods for Educational Timetabling Problems: A Systematic Review of Literature." In 10th International Conference on Information Visualization Theory and Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007375802750281.

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Mauritsius, Tuga, Achmad Nurul Fajar, Harisno, and Peter John. "Novel Local Searches for Finding Feasible Solutions in Educational Timetabling Problem." In 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME). IEEE, 2017. http://dx.doi.org/10.1109/icici-bme.2017.8537723.

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Gogos, Christos, Angelos Dimitsas, Christos Valouxis, and Panayiotis Alefragis. "Modeling a balanced commute educational timetabling problem in the context of teaching Integer Programming." In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). IEEE, 2022. http://dx.doi.org/10.1109/seeda-cecnsm57760.2022.9932912.

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Kembuan, Olivia, Gladly Caren Rorimpandey, Parabelem Tinno Dolf Rompas, Julyeta Paulina, and Amelia Runtuwene. "Development of Web based Timetabling System." In The 7th Engineering International Conference (EIC), Engineering International Conference on Education, Concept and Application on Green Technology. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0009010403110316.

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Kembuan, Olivia, Gladly Caren Rorimpandey, Parabelem Tinno Dolf Rompas, Julyeta Paulina, and Amelia Runtuwene. "Development of Web based Timetabling System." In The 7th Engineering International Conference (EIC), Engineering International Conference on Education, Concept and Application on Green Technology. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0009010403170322.

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Rashidova, Fatme, and Aldeniz Rashidov. "Algorithm for compiling an examination timetabling at a higher education institutions." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2023. http://dx.doi.org/10.1109/icccnt56998.2023.10306610.

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