Artificial Intelligence as an Instrument of Successful Pedagogical Monitoring and Affect Assessment for Disabled People Employment; CEUR Workshop Proceedings; Vol. 2770 : Informatization of Education and E-learning Methodology: Digital Technologies in Education (IEELM-DTE 2020)

Artificial Intelligence as an Instrument of Successful Pedagogical Monitoring and Affect Assessment for Disabled People Employment

Bibliographic Details
Parent link:CEUR Workshop Proceedings: Online Proceedings for Scientific Conferences and Workshops
Vol. 2770 : Informatization of Education and E-learning Methodology: Digital Technologies in Education (IEELM-DTE 2020).— 2020.— [P. 220-227]
Main Author: Khaperskaya A. V. Alena Vasilievna
Corporate Authors: Национальный исследовательский Томский политехнический университет Школа инженерного предпринимательства, Национальный исследовательский Томский политехнический университет Учебно-научный центр "Организация и технологии высшего профессионального образования"
Other Authors: Minin M. G. Mikhail Grigoryevich
Summary:Title screen
The article presents the influence of artificial intelligence on the quality of the criteria-diagnostic apparatus of the system of pedagogical monitoring. The necessity of creating automated tools for assessing the existing competencies of the listener and necessary for participating in the process of mastering the discipline is noted; automated diagnostic systems in digitalization to form an individual training route. The authors have developed methods for providing an automated process of pedagogical monitoring, describe the principles of work of the developed methods from the technical and pedagogical side, and also give examples of their implementation. It also offers the implementation of an expert assessment method using image theory and machine learning. The article confirms that AI allows you to expand the range of possibilities of pedagogical monitoring in digitalization, while maintaining the principles of traditional pedagogy. Based on the proposed technology and the creation of a training automated system, the proposed approach will solve this problem and improve the accuracy of the individual educational route and disabled people employment.
Language:English
Published: 2020
Series:Digital Didactics
Subjects:
электронный ресурс
труды учёных ТПУ
digital transformation
learning platform
E-learning
pedagogical monitoring
competency matrix
цифровая трансформация
электронное обучение
Online Access:http://ceur-ws.org/Vol-2770/paper26.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=664982

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