Показати скорочену інформацію

dc.contributor.advisorLazarovych Ihoren
dc.contributor.advisorЛазарович Ігорuk
dc.contributor.authorПолатайко, І. Б.uk
dc.contributor.authorСлободян, М. М.uk
dc.contributor.authorВинник, В. І.uk
dc.contributor.authorPolataiko, Ihoren
dc.contributor.authorSlobodian, Mariiaen
dc.contributor.authorVynnyk, Volodymyren
dc.date.accessioned2024-03-14T18:01:18Z
dc.date.available2024-03-14T18:01:18Z
dc.date.issued2021
dc.identifier.citationПолатайко І. Б. Education quality improvement system based on anonymous surveys [Electronic resource] / І. Б. Полатайко, М. М. Слободян, В. І. Винник; наук. кер. Ігор Лазарович // Матеріали L Науково-технічної конференції підрозділів ВНТУ, Вінниця, 10-12 березня 2021 р. – Електрон. текст. дані. – 2021. – Режим доступу: https://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2021/paper/view/12124.uk
dc.identifier.urihttp://ir.lib.vntu.edu.ua//handle/123456789/39817
dc.description.abstractIn this paper, we propose the solution to the common problem: the evaluation of the education quality in the educational institutions. The proposed solution is based upon the gathering and analyzing anonymous survey information from different stakeholder categories. The result of the analysis is used to build the graph showing the information about the satisfaction level of various categories of stakeholders. The main challenge is to provide the way of passing fully anonymous surveys with the ability to differentiate them by stakeholder categories, that the feedback is given by, and educational categories, that the feedback is given for. The software, built based on the results of this research, uses JavaScript Object Notation Web Token to pass the information regarding certain feedback session, while abstracting from the identity of the person, which leaves the feedback.en
dc.language.isoen_USen_US
dc.publisherВНТУuk
dc.relation.ispartofМатеріали L Науково-технічної конференції підрозділів ВНТУ, Вінниця, 10-12 березня 2021 р.uk
dc.relation.urihttps://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2021/paper/view/12124
dc.subjectquality of educationen
dc.subjectfeedbacken
dc.subjectsoftwareen
dc.subjectJavaScript Object Notation Web Tokenen
dc.titleEducation quality improvement system based on anonymous surveysen
dc.typeThesis
dc.identifier.udc004.4
dc.relation.referencesSebastian Peyrott. JWT Handbook: Auth0 Inc., 2017, pp. 118.en
dc.relation.referencesPaul J. Lavrakas, “Encyclopedia of Survey Research Methods", 2008, doi:http://dx.doi.org/10.4135/9781412963947.n19.en
dc.relation.referencesYphtach Lelkes, Jon A. Krosnick, David M. Marx, Charles M. Judd and Bernadette Park “Complete Anonymity Compromises the Accuracy of Self-Reports”, September 2011, pp. 18-22en
dc.relation.referencesBackor, K., Golde, S., & Nie, N. (2007). Estimating Survey Fatigue in Time Use Study. Paper presented at the 2007 International Association for Time Use Research Conference, Washington, D.C.en
dc.relation.referencesBradburn, N. M., Sudman, S., Blair, E., & Stocking, C. (1978). Question threat and response bias. Public Opinion Quarterly, 42, 221-234.en
dc.relation.referencesWarner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of American Statistical Association, 60, 63-69.en
dc.relation.referencesFred Reichheld(author) and Rob Markey(contributor), “The Ultimate Question 2.0 (Revised and Expanded Edition): How Net Promoter Companies Thrive in a Customer-Driven World”, September 20 2011.en
dc.relation.referencesNick Hague and Paul Hague, “Customer Satisfaction Surveys and Research: How to Measure CSAT”en
dc.relation.referencesH. Akerlund, G. Audemard, H. Bollaert, V. Hayenne-Cuvillon, A. Hlobaz, M. Kozlenko, P. Milczarski, J.C. Monteiro, J. Morais, D. O'Reilly, P. Possemiers, Z. Stawska (2020) Project GGULIVRR: generic game for ubiquitous learning in interactive virtual and real realities, EDULEARN20 Proceedings, pp. 5973-5979.en
dc.relation.referencesDutchak M., Kozlenko M., Lazarovych I., Lazarovych N., Pikuliak M., Savka I. (2021) Methods and Software Tools for Automated Synthesis of Adaptive Learning Trajectory in Intelligent Online Learning Management Systems. In: Ben Ahmed M., Rakıp Karaș İ., Santos D., Sergeyeva O., Boudhir A.A. (eds) Innovations in Smart Cities Applications Volume 4. SCA 2020. Lecture Notes in Networks and Systems, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_16.en
dc.relation.referencesI. Polataiko, M. Slobodian, and V. Vynnyk, "Anonymous survey system for quality assurance in education," in Proceedings of the 2019 Scientific Seminar on Innovative Solutions in Software Engineering, Ivano-Frankivsk, Ukraine, Dec. 10, 2019, pp. 28-30, doi: 10.5281/zenodo.4516556.en


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Показати скорочену інформацію