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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52505
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dc.contributor.authorSuprun, Oleh
dc.contributor.authorSipko, Olena
dc.contributor.authorSnytyuk, Vitaliy
dc.coverage.temporal21-25 August 2018, Lviv
dc.date.accessioned2020-06-19T12:05:25Z-
dc.date.available2020-06-19T12:05:25Z-
dc.date.created2018-02-28
dc.date.issued2018-02-28
dc.identifier.citationSuprun O. Educational Schedule Development Using Evolution Technologies / Oleh Suprun, Olena Sipko, Vitaliy Snytyuk // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 265–270. — (Dynamic Data Mining & Data Stream Mining).
dc.identifier.isbn© Національний університет „Львівська політехніка“, 2018
dc.identifier.isbn© Національний університет „Львівська політехніка“, 2018
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/52505-
dc.description.abstractAn effective and optimal schedule is one of the keys to obtaining the necessary knowledge and skills by students, as well as creating comfortable conditions for teachers to work. However, in most universities, schedules are still being developed manually, which takes a long time, and always has a certain percentage of subjectivity. This is due to the relevant software inability to take into account the preferences and requirements of students and teachers and to give them the priorities as a human expert can do. The proposed method makes it possible, by conducting surveys among students and faculty members, to determine and take into account their requirements, to evaluate the possibility of fulfilling their desires and to prioritize them, depending on various factors such as material provision, the number of students with certain proposals for the schedule, teacher's position and status, and others. Using evolutionary technologies allows to quickly conduct an analysis that makes possible to perform multiply experiments, changing certain parameters, and choose the best option. The automation of this process guarantees taking into account all the restrictions and desires that a human expert can not handle with when dealing with a large number of students and teachers. This removes the influence of subjectivity. The proposed method was tested on real data, its efficiency and advantages are shown in the paper.
dc.format.extent265-270
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofData stream mining and processing : proceedings of the IEEE second international conference, 2018
dc.subjecteducation process
dc.subjectschedule development
dc.subjectgenetic algorithm
dc.subjectpenalty functions
dc.titleEducational Schedule Development Using Evolution Technologies
dc.typeConference Abstract
dc.rights.holder© Національний університет “Львівська політехніка”, 2018
dc.contributor.affiliationTaras Shevchenko National University of Kyiv
dc.contributor.affiliationCherkasy State Technological University
dc.format.pages6
dc.identifier.citationenSuprun O. Educational Schedule Development Using Evolution Technologies / Oleh Suprun, Olena Sipko, Vitaliy Snytyuk // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 265–270. — (Dynamic Data Mining & Data Stream Mining).
dc.relation.references[1] E. Balas “A Note on the Branch-and-Bound Principle,” Operations Research. New York, vol. 16, iss. 2, pp. 442-445, April 1968.
dc.relation.references[2] E. Burk, and P. Ross, Practice and Theory of Automated Timetabling: First International Conference. Edinburgh: UK, 1995.
dc.relation.references[3] Y. Yang, and D. Tian, “The research of multimedia curriculum design and curriculum development in modern distance education”, 2016 International Conference on Educational Innovation through Technology (EITT), September 2016. Published in: 2017 3rd IEEE International Conference on Computer and Communications (ICCC), 13-16 Dec. 2017. DOI: 10.1109/CompComm.2017.8322799
dc.relation.references[4] E. S. Grant, “A proposal for technology-based software engineering curriculum development,” 2016 IEEE 8th International Conference on Engineering Education (ICEED), Kuala Lumpur, Malaysia, December 2016.
dc.relation.references[5] E. S. Grant and V. Shankararaman, “Technology-driven software engineering curriculum development,” 2014 IEEE 27th Conference on Software Engineering Education and Training (CSEE&T), Klagenfurt, Austria, pp. 168-170, April 2014.
dc.relation.references[6] H. Fugang, C. Le, and Z. Qinhua. “Curriculum Development for Practical Training: A Design-Based Research of Network Detection Combat,” 2016 International Conference on Educational Innovation through Technology (EITT), Tainan, Taiwan, September 2016.
dc.relation.references[7] W. Yoo, S. Pattaparla, and S. Shaik, “Curriculum development for computing education academy to enhance high school students' interest in computing”, Integrated STEM Education Conference (ISEC), 2016 IEEE, Princeton, NJ, USA, pp. 282 - 284 April 2016.
dc.relation.references[8] T. L. Saaty, and Kirti Peniwati, Group Decision Making: Drawing out and Reconciling Differences. Pittsburgh, Pennsylvania, 2008.
dc.relation.references[9] O. Sipko, and V. Y. Snytyuk, “Aspects of formulation of the objective function in the problem of scheduling in higher educational institutions based on subjective preferences,” Nauka i Studia. Polska, Przemyśl: Sp. zoo «Nauka i studia», no. 15 (125), pp. 39-51, 2014.
dc.relation.references[10] V. Y. Snytyuk, and O. M. Sipko “Penalty Functions Using in the Schedule Development Problem,” Mathematical Machines and Systems, Kyiv, no. 3, pp. 158-164, 2015.
dc.relation.referencesen[1] E. Balas "A Note on the Branch-and-Bound Principle," Operations Research. New York, vol. 16, iss. 2, pp. 442-445, April 1968.
dc.relation.referencesen[2] E. Burk, and P. Ross, Practice and Theory of Automated Timetabling: First International Conference. Edinburgh: UK, 1995.
dc.relation.referencesen[3] Y. Yang, and D. Tian, "The research of multimedia curriculum design and curriculum development in modern distance education", 2016 International Conference on Educational Innovation through Technology (EITT), September 2016. Published in: 2017 3rd IEEE International Conference on Computer and Communications (ICCC), 13-16 Dec. 2017. DOI: 10.1109/CompComm.2017.8322799
dc.relation.referencesen[4] E. S. Grant, "A proposal for technology-based software engineering curriculum development," 2016 IEEE 8th International Conference on Engineering Education (ICEED), Kuala Lumpur, Malaysia, December 2016.
dc.relation.referencesen[5] E. S. Grant and V. Shankararaman, "Technology-driven software engineering curriculum development," 2014 IEEE 27th Conference on Software Engineering Education and Training (CSEE&T), Klagenfurt, Austria, pp. 168-170, April 2014.
dc.relation.referencesen[6] H. Fugang, C. Le, and Z. Qinhua. "Curriculum Development for Practical Training: A Design-Based Research of Network Detection Combat," 2016 International Conference on Educational Innovation through Technology (EITT), Tainan, Taiwan, September 2016.
dc.relation.referencesen[7] W. Yoo, S. Pattaparla, and S. Shaik, "Curriculum development for computing education academy to enhance high school students' interest in computing", Integrated STEM Education Conference (ISEC), 2016 IEEE, Princeton, NJ, USA, pp. 282 - 284 April 2016.
dc.relation.referencesen[8] T. L. Saaty, and Kirti Peniwati, Group Decision Making: Drawing out and Reconciling Differences. Pittsburgh, Pennsylvania, 2008.
dc.relation.referencesen[9] O. Sipko, and V. Y. Snytyuk, "Aspects of formulation of the objective function in the problem of scheduling in higher educational institutions based on subjective preferences," Nauka i Studia. Polska, Przemyśl: Sp. zoo "Nauka i studia", no. 15 (125), pp. 39-51, 2014.
dc.relation.referencesen[10] V. Y. Snytyuk, and O. M. Sipko "Penalty Functions Using in the Schedule Development Problem," Mathematical Machines and Systems, Kyiv, no. 3, pp. 158-164, 2015.
dc.citation.conferenceIEEE second international conference "Data stream mining and processing"
dc.citation.spage265
dc.citation.epage270
dc.coverage.placenameЛьвів
Appears in Collections:Data stream mining and processing : proceedings of the IEEE second international conference

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