Methodology for Assessing the Quality of an Educational Program and Educational Activities of a Higher Education Institution Using a Neural Network

Andriy Ryabko, Tetiana Vakaliuk, Tetiana Vakaliuk, Tetiana Vakaliuk, Oksana Zaika, Roman Kukharchuk, Viacheslav Osadchyi, Inesa Novitska

2021

Abstract

The article discusses a methodology for assessing the quality of educational programs and activities in higher education institutions using artificial intelligence tools such as the adaptive system of neuro-fuzzy inference (ANFIS) and an L-layer neural network. The purpose of the study was to address the problem of objectivity in self-assessment and identify potential problems and shortcomings in educational activities before the start of an accreditation examination. The study used student ratings on a four-level assessment scale as input data for the L-layer neural network, and the criteria for assessing the quality of the educational program as input variables for the ANFIS system. The hypothesis was that students with higher ratings of educational achievement would provide more objective assessments of the quality criteria of the educational program and activities. The results showed that the L-layer neural network made more accurate predictions than the ANFIS model. The article suggests that this approach can provide higher education managers with qualitative forecasts to determine the quality of educational services and identify potential problems before the start of an accreditation examination. However, the study acknowledges the need for further research on larger data volumes to improve the predictive capabilities of the models.

Paper Citation

in Harvard Style

Ryabko A., Vakaliuk T., Zaika O., Kukharchuk R., Osadchyi V. and Novitska I. (2021). Methodology for Assessing the Quality of an Educational Program and Educational Activities of a Higher Education Institution Using a Neural Network. In Proceedings of the 2nd Myroslav I. Zhaldak Symposium on Advances in Educational Technology - Volume 1: AET; ISBN 978-989-758-662-0, SciTePress, pages 179-198. DOI: 10.5220/0012062800003431

in Bibtex Style

@conference{aet21,
author={Andriy Ryabko and Tetiana Vakaliuk and Oksana Zaika and Roman Kukharchuk and Viacheslav Osadchyi and Inesa Novitska},
title={Methodology for Assessing the Quality of an Educational Program and Educational Activities of a Higher Education Institution Using a Neural Network},
booktitle={Proceedings of the 2nd Myroslav I. Zhaldak Symposium on Advances in Educational Technology - Volume 1: AET},
year={2021},
pages={179-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012062800003431},
isbn={978-989-758-662-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Myroslav I. Zhaldak Symposium on Advances in Educational Technology - Volume 1: AET
TI - Methodology for Assessing the Quality of an Educational Program and Educational Activities of a Higher Education Institution Using a Neural Network
SN - 978-989-758-662-0
AU - Ryabko A.
AU - Vakaliuk T.
AU - Zaika O.
AU - Kukharchuk R.
AU - Osadchyi V.
AU - Novitska I.
PY - 2021
SP - 179
EP - 198
DO - 10.5220/0012062800003431
PB - SciTePress