Automated Monitoring of Content Demand in Distance Learning
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
CEUR-WS Team, Aachen, Germany
Abstract
ENG: In this paper the research of means and the development of software for matching the student’s gaze
focus with the structure of information on the computer monitor during distance learning is presented.
Widespread hardware is envisaged to be used. Primary processing of the face image, eye regions
separation is performed by means of the OpenCV library. An appropriate algorithm to calculate the
center of the eye’s pupil has been developed. The influence of the system calibration process with
different schemes of calibration point display, its delay time on the screen and location of the additional
camera according the accuracy of the calculation the coordinates of the gaze focus is investigated. Based
on the performed experiments, it was defined that the error of gaze focus recognition with using two
cameras can be reduced to 4-10%. The proposed approach makes it possible for objective measurement the
working time of each student with one or another part of content. The lecturer will have the opportunity
to improve the content by highlighting significant parts that receive little attention and simplifying
those elements that students process for an unreasonable amount of time. It is planned to integrate the
developed software with the LMS Moodle in the future.
Description
V. Shynkarenko: ORCID 0000-0001-8738-7225
Keywords
distance learning, educational content, program tools, oculography, gaze focus, КІТ
Citation
Shynkarenko V. I., Raznosilin V. V., Snihur Y. Automated Monitoring of Content Demand in Distance Learning. CEUR Workshop Proceedings. Vol. 3013 : 17th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Vol. I: Main Conference, PhD Symposium, and Posters (ICTERI 2021), Kherson, Ukraine, 28 September – 2 October 2021. Kherson, 2021. P. 158–172.