ITPM 2024: pp. 192 - 203
Authors:
- Volodymyr Pasichnyk
- Nataliia Kunanets
- Valentyna Yunchyk
- Maria Khomyak
- Anatolii Fedonyuk
1 Lviv Polytechnic National University, Stepana Bandery str. 12, Lviv, 79013, Ukraine
2 Lviv Polytechnic National University, Stepana Bandery str. 12, Lviv, 79013, Ukraine
3 Lesya Ukrainka Volyn National University, 13 Volya Avenue, Lutsk, 43025, Ukraine
4 Lesya Ukrainka Volyn National University, 13 Volya Avenue, Lutsk, 43025, Ukraine
5 Lesya Ukrainka Volyn National University, 13 Volya Avenue, Lutsk, 43025, Ukraine
Abstract
In the modern world, the importance of practical evaluation of educational content is increasing
due to the rapid development of information technologies and access to many educational
resources. Consequently, there is a need to develop and implement recommendation systems
for assessing educational content. This paper provides an overview of a project to create a
recommendation system for evaluating educational content. This project aims to develop
models, methods, and algorithms for automated analysis and recommendations regarding the
quality of educational materials. The methodology of working on the project, the tools and
technologies used, and the results and areas of application of the recommendation system are
described. Potential advantages of implementing a recommendation system in the educational
process and methods of interaction with users are considered. The selection of the project’s
recommendation system lifecycle model has been justified. All stages of the cyclical
development process are described. The recommendation system project is developed based on
a three-tier architecture. Resources for the implementation of the recommendation system
project have been identified. The visualization of the results of the evaluation of the education
content is considered using the method of petal diagrams. An example of evaluating
methodological guidelines at the faculty’s scientific-methodological commission meeting is
provided. Criteria for assessing educational content are outlined. Aggregated expert ratings
based on evaluation criteria for educational materials are presented. A series of petal diagrams
have been constructed to visualize the evaluation of educational content by groups of experts.
Keywords
Recommendation system, educational content, evaluation, project, visualization, design, expert
assessment
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