Thematische Bibliographien / Educational Timetabling

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Auswahl der wissenschaftlichen Literatur zum Thema „Educational Timetabling“

Autor: Grafiati

Veröffentlicht am 21. März 2023

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Zeitschriftenartikel zum Thema "Educational Timetabling"

Zhu, Kaixiang, Lily D. Li und Michael Li. „A Survey of Computational Intelligence in Educational Timetabling“. International Journal of Machine Learning and Computing 11, Nr. 1 (Januar 2021): 40–47. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1012.

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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 computational intelligence in ETP. Therefore, this paper aims at providing a reference of selecting a method for the applications of ETP by reviewing popular computational intelligent algorithms, such as meta-heuristics, hyper-heuristics, hybrid methods, fuzzy logic, and multi-agent systems. The application would be categorised and described into the three types of ETP respectively.

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Bolaji, Asaju La’aro, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar und Mohammed A. Awadallah. „Artificial Bee Colony Algorithm for Solving Educational Timetabling Problems“. International Journal of Natural Computing Research 3, Nr. 2 (April 2012): 1–21. http://dx.doi.org/10.4018/jncr.2012040101.

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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) and Uncapacitated Examination Timetabling Problem (UETP) problem instances. The experimental results on UETP showed that the technique is comparable with other state-of-the-art techniques and provides encouraging results on CB-CTT.

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Fonseca, George H. G., Haroldo G. Santos, Eduardo G. Carrano und Thomas J. R. Stidsen. „Integer programming techniques for educational timetabling“. European Journal of Operational Research 262, Nr. 1 (Oktober 2017): 28–39. http://dx.doi.org/10.1016/j.ejor.2017.03.020.

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Haitan, О., und 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, Nr. 60 (28.05.2020): 60–69. http://dx.doi.org/10.26906/sunz.2020.2.060.

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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–Mead method is used to find the parameters of the ant colony optimization method. Use of the genetic algorithm allows for reducing of algorithm running time and increasing of global optimum finding probability. The educational process timetabling in higher school is an important component of the educational process assurance system, since the schedule quality determines the comfort of the educational process participants and its quality and effectiveness. Therefore, the development of methods for computer-aided timetable generation is an important challenge. The subject of study is adaptive methods of automated university timetabling. The objective of the work is development of a hybrid approach to addressing the problem of automated timetabling in university. The results are development and research of a hybrid method and software for university timetabling that been implemented this method

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Shadkam, Elham. „An integer mathematical model for the problem of timetabling university exams“. BEN Vol:2 Issue:3 2021 2, Nr. 3 (27.02.2021): 11–15. http://dx.doi.org/10.36937/ben.2021.003.003.

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

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Mazlan, Munirah, Mokhairi Makhtar, Ahmad Firdaus Khair Ahmad Khairi, Mohamad Afendee Mohamed und Mohd Nordin Abdul Rahman. „Ant colony optimisation for solving university course timetabling problems“. International Journal of Engineering & Technology 7, Nr. 2.15 (06.04.2018): 139. http://dx.doi.org/10.14419/ijet.v7i2.15.11371.

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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 time, student, lecturer and room, besides satisfying the constraints. The implementation of this method is to find an effective and better solution for university course timetabling. The result and performance evaluation is used to determine whether it is reliable in providing the feasible timetable.

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Mazlan, Munirah, Mokhairi Makhtar, Ahmad Firdaus Khair Ahmad Khairi, Mohamed Afendee Mohamed und Mohd Nordin Abdul Rahman. „A study on optimization methods for solving course timetabling problem in university“. International Journal of Engineering & Technology 7, Nr. 2.14 (06.04.2018): 196. http://dx.doi.org/10.14419/ijet.v7i2.14.12824.

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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 concluded that this method is suitable for future used compared to other techniques studied. An analysis and observation will be carried out for the research future.

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Ma, Xin Min, und 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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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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Zhu, Kaixiang, Lily D. Li und Michael Li. „School Timetabling Optimisation Using Artificial Bee Colony Algorithm Based on a Virtual Searching Space Method“. Mathematics 10, Nr. 1 (26.12.2021): 73. http://dx.doi.org/10.3390/math10010073.

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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, preferences and expertise as a whole. Based on a common real-world school timetabling scenario, the artificial bee colony (ABC) algorithm is adapted to this study, as research shows its applicability in solving examination and course timetabling problems. A virtual search space for dealing with the large search space is introduced to the proposed model. The proposed approach is simulated with a large, randomly generated dataset. The experimental results demonstrate that the proposed approach is able to solve the STP and handle a large dataset in an ordinary computing hardware environment, which significantly reduces computational costs. Compared to the traditional constraint programming method, the proposed approach is more effective and can provide more satisfactory solutions by considering educators’ availabilities, preferences, and expertise levels.

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Dissertationen zum Thema "Educational Timetabling"

Lindén, Carl, und 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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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 faktorer som främjar skolors schemaläggning. Syftet med studien är att undersöka vilka villkor som behöver uppfyllas för attschemaläggningsprocessen i en gymnasieskola ska vara effektiv. Effektiva schemaläggningsprocesser definieras med utgångspunkt från tidigare schemaläggningsforskning. Studien har genomförts i form av en flerfallsstudie där två komparativt utvalda gymnasieskolor undersökts och jämförts. Intervju användes som datainsamlingsmetod och data analyserades med kvalitativ innehållsanalys. Faktorer som påverkar och begränsar schemaläggningsprocesserna kunde på så sätt identifieras. Med utgångspunkt ifrån en jämförelse av resultaten från de båda fallen föreslogs fyra villkor som möjliggör effektiva schemaläggningsprocesser i gymnasieskolan. Två av dessa villkor behandlar hur schemaläggarens arbete bör struktureras: Schemaläggaren bör använda strategier för att hantera begränsande faktorer i schemaläggningen och schemaläggningsarbetet bör fokuseras på dess kärnuppdrag. De övriga två behandlar de strukturella förutsättningarna för schemaläggning: Skolan behöver ha stabilt elevunderlag och undervisningsgrupperna på skolan bör vara utformade på ett sätt som stödjer schemaläggningen.
In this study, timetabling processes in Swedish upper secondary schools were examined. School timetabling is a complex activity, with a great impact on working conditions for teachers and pupils’ learning conditions. Hence, it is of great importance that the timetabling is of high quality. As a result of the Swedish educational reforms in the 1990’s, timetabling decision-making was decentralized. This places great demands on responsibility of individual schools, which implies that local conditions are of great significance for the outcomes of timetabling. It is therefore of interest to examine the factors that promote school timetabling. The purpose of this study is to investigate the conditions that need to be fulfilled to ensure the efficacy of the timetabling process in an upper secondary school. Effective timetabling processes are defined based on previous research on school timetabling. The study has been conducted as a multiple case study, in which two comparatively chosen upper secondary schools were examined and compared. Interviews were used for data collection and data were analyzed using qualitative content analysis. In this way, factors that influence and constrain the timetabling processes could be identified. Based on a comparison of the results from both cases, four conditions were suggested that render timetabling processes effective. Two of the conditions deal with work structure of timetablers: Timetablers should apply strategies to handle timetabling constraints and the timetabling should be focused on its main task. The other two conditions deal with structural features necessary for effective timetabling: The school needs a stable pupil population and the class composition should be organized in a way that supports timetabling.

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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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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 stratified sample investigated 556 government schools across NSW, representing almost 30% of the total population, collected both quantitative and qualitative data via an online questionnaire. In the absence of routine government evaluation, this study is the first to document disparities between relevant curriculum and policy and the implementation and enactment of PDHPE and SS across schools, with little assurance of quality. Amongst a plethora of findings, six key issues are highlighted. Schools report that (1) stakeholders all deem PDHPE to have a lower status than other curriculum areas; this is confirmed through the hidden curriculum. Low status may be exacerbated by the fact that, surprisingly, (2) non-specialists tend to be in charge of teaching PDHPE and SS, and most schools outsource programs and staff (87%). Low status also contributes to (3) the low prioritisation of time allocation to PDHPE, with schools falling short of mandates. Other findings highlight poor equity in provision, with (4) frequent student exclusion practices; and differentiation of curriculum implementation according to (5) school socio-educational status and (6) geographical location. This exploratory study uncovered a range of complex issues, particularly relating to the status and equity of provision in this important educational domain, that need further research and should spark new discussions.

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

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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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Bücher zum Thema "Educational Timetabling"

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

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

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Buchteile zum Thema "Educational Timetabling"

Kingston, Jeffrey H. „Educational Timetabling“. In Studies in Computational Intelligence, 91–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39304-4_4.

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de Souza Alencar, Wanderley, Hugo Alexandre Dantas do Nascimento, Walid Abdala Rfaei Jradi, Fabrizzio Alphonsus A. M. N. Soares und Juliana Paula Felix. „Information Visualization for Highlighting Conflicts in Educational Timetabling Problems“. In Advances in Visual Computing, 275–88. Cham: 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, 131–37. Boston, MA: 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 und Ajalmar R. Rocha Neto. „A Recursive Genetic Algorithm-Based Approach for Educational Timetabling Problems“. In Designing with Computational Intelligence, 161–75. Cham: 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 und Fabrízzio Alphonsus Alves de Melo Nunes Soares. „An Empirical Methodological Study of Evaluation Methods Applied to Educational Timetabling Visualizations“. In Advances in Visual Computing, 209–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64556-4_17.

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Thepphakorn, Thatchai, Saisumpan Sooncharoen und Pupong Pongcharoen. „Academic Operating Costs Optimisation Using Hybrid MCPSO Based Course Timetabling Tool“. In Blended Learning. Education in a Smart Learning Environment, 338–50. Cham: 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 und 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, 112–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93479-8_7.

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„An Individual Timetabling System“. In The Nature of Special Education, 321–25. Routledge, 2003. http://dx.doi.org/10.4324/9780203169179-57.

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Al Murshidi, Ghadah Hassan, und Elaine Wright. „Using ICT and Digital Tools in Teacher Professional Development in the UAE“. In Global Perspectives on Teacher Performance Improvement, 232–47. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9278-6.ch012.

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The teaching profession is a constantly changing, diverse environment, striving to meet the needs of the youth of today. One aspect which has transformed teaching is information and communications technology. However, one area which has been slower to embrace this digital era is professional development. Even though continuous teacher professional development is seen as an important aspect of equipping teachers to be effective in the classroom leading to best practice, time constraints, budgets and timetabling difficulties can hinder teachers' access to high quality professional development programs. This chapter will aim to highlight ways the online learning environment has been maximized in order to enhance the professional practice of teachers within the country. The chapter will give a brief outline of other ways in which the UAE has sought to enhance education via online methods; how the visions and goals of the nation's leaders depend upon effective, efficient, and high-quality teachers; and an outline of various forms of online professional development.

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Konferenzberichte zum Thema "Educational Timetabling"

Alves, Shara S. A., Saulo A. F. Oliveira und 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 und 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 und 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 und 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 und 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 und 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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OuYang, Yong, und Yi Chen. „Research on automated timetabling algorithm for make-up examination and final clear examination“. In Education (ICCSE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccse.2010.5593548.

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Shi, Juan, Yi Dan Su und Min Xie. „Research on application of IGA (immune genetic algorithm) to the solution of Course-Timetabling Problem“. In Education (ICCSE). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228553.

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Dimitriev, A. P., T. A. Lavina und A. H. Aleksandrov. „Application of Selection Sequence Optimization Algorithm to University Timetabling Problem“. In International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200509.100.

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