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The Influence Online Learning Quality Criteria Selectionon Negentropyстатья Глава в книге Исследовательская статья
Дата последнего поиска статьи во внешних источниках: 16 марта 2022 г.
- Авторы: Andryushkova Olga, Grigoriev Sergey
- Журнал: CEUR Workshop Proceedings
- Том: 2770
- Год издания: 2020
- Издательство: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen
- Местоположение издательства: Aachen, Germany
- Первая страница: 127
- Последняя страница: 139
- Номер статьи: 17
- Аннотация: http://ceur-ws.org/Vol-2770/paper17.pdf ISSN:1613-0073 Methods for assessing the quality of education are discussed, including the possibility of predicting learning outcomes based on the calculation ofnegentropy. Negentropy is used as an integral informational index, demonstrating objective assessment of the learning model used. We propose to use theemergent learning model as a generalized projection of the learning processwith a reasonable fusion of e-learning and traditional learning. To create a multi-criteria system for assessing the quality of education we propose to evaluateall components of the pedagogical system in interaction with each other, at thefirst and all levels of the hierarchical levels. We also propose to define as a special category of programs in the system that interacts with other elements of thesystem, and thus the system is organized as “student-centered”. The proposedmethodology for predicting and assessing academic performance is based onbuilding on building a hierarchical structure of multi-criteria learning qualitysystem. At the first stage, we selected the main ones that affect the quality ofeducation, which are organized in the first level of the Ishikawa diagram. Then,based on the knowledge of experts, we assigned each criterion an appropriatecoefficient of importance for the quality of training. At the second stage, thesame was done for the second stage criterion of the third level of importance. Incases where it was not possible to unambiguously estimate the coefficient ofimportance, we present the system of equations for calculating the membershipfunction of a fuzzy set. At the third stage, the integral values of negentropywere calculated for three university blended courses and for a model situation.
- Добавил в систему: Андрюшкова Ольга Владимировна
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | ssyilka_na_publikatsiyu.txt | ssyilka_na_publikatsiyu.txt | 137 байт | 16 декабря 2020 [AndryushkovaOV] | |
| 2. | Полный текст | Andryushkova_Grigoriev_Influence.pdf | 597,3 КБ | 16 декабря 2020 [AndryushkovaOV] |