Automated Monitoring of Content Demand in Distance Learning
| dc.contributor.author | Shynkarenko, Viktor I. | en |
| dc.contributor.author | Raznosilin, Valentyn V. | en |
| dc.contributor.author | Snihur, Yuliia | en |
| dc.date.accessioned | 2022-02-25T12:17:31Z | |
| dc.date.available | 2022-02-25T12:17:31Z | |
| dc.date.issued | 2021 | |
| dc.description | V. Shynkarenko: ORCID 0000-0001-8738-7225 | en |
| dc.description.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. | en |
| dc.identifier.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. | en |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | http://eadnurt.diit.edu.ua/jspui/handle/123456789/14715 | en |
| dc.identifier.uri | https://ceur-ws.org/Vol-3013/ | en |
| dc.language.iso | en | |
| dc.publisher | CEUR-WS Team, Aachen, Germany | en |
| dc.subject | distance learning | en |
| dc.subject | educational content | en |
| dc.subject | program tools | en |
| dc.subject | oculography | en |
| dc.subject | gaze focus | en |
| dc.subject | КІТ | uk_UA |
| dc.title | Automated Monitoring of Content Demand in Distance Learning | en |
| dc.type | Article | en |