Abstract
Worldwide pandemics and long periods of social containment require further improvement of Intelligent Education System (IES) with reliable communication networks and computing systems for providing accessible and effective teaching and learning. One of the main challenges in distance learning is to ensure adequate monitoring of the education process and evaluation of interim and final results. The paper presents a hybrid approach for multi-criteria evaluation of students’ performance in a flexible framework of three preference scenarios where the theoretical learning, practical skills, and final exams participate with different weights. The systematization of criteria in blocks and their weighting according to preferences allow obtaining more objective macroscopic results. The Multiple Assessment integration (MAI) of the evaluation values in TOPSIS, MOORA and WPM allows to explore their behavior with different data sets and contributes to consolidate the final results for obtaining a better holistic and personalized view of the education process for each individual student.
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Acknowledgements
This research is supported by the Bulgarian FNI fund through the project “Modeling and Research of Intelligent Educational Systems and Sensor Networks (ISOSeM)”, contract КП-06-H47/4 from 26.11.2020.
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Petrov, I. (2022). Multi-criteria Evaluation of Students’ Performance Based on Hybrid AHP-Entropy Approach with TOPSIS, MOORA and WPM. In: Antovski, L., Armenski, G. (eds) ICT Innovations 2021. Digital Transformation. ICT Innovations 2021. Communications in Computer and Information Science, vol 1521. Springer, Cham. https://doi.org/10.1007/978-3-031-04206-5_6
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