Application of computer vision technologies for automatic data collection about emotions of students during group work

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2020-07-04 DOI:10.32517/0234-0453-2020-35-5-56-63

R. Kupriyanov

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引用次数: 1

Abstract

Today the global scientific community is actively discussing the issues on the application of artificial intelligence in education. One of the least studied technologies in terms of its application in education is computer vision. The development and implementation of intelligent systems based on video analysis and machine learning algorithms provide new opportunities for teachers and staff of the educational organization administration to understand and transform the educational process. The article discusses the use of video analysis technologies from cameras with a 360-degree view to collect data on the emotional state of students during group work in the classroom. In the course of the described research, a software solution for automatic emotions data collection during students’ teamwork leaning was developed. This solution can be used for future research aimed at studying the impact of emotional state on students’ educational success. The results of the study can be used to form the research agenda of Russian universities in order to implement the objectives of the section “Education and personnel” of the program “Digital economy of the Russian Federation”, approved by the Government of the Russian Federation.

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计算机视觉技术在学生小组作业情绪数据自动采集中的应用

今天，全球科学界正在积极讨论人工智能在教育中的应用问题。在教育应用方面，研究最少的技术之一是计算机视觉。基于视频分析和机器学习算法的智能系统的开发和实现为教育组织管理的教师和工作人员理解和改变教育过程提供了新的机会。本文讨论了使用360度视角的摄像机视频分析技术来收集学生在课堂小组作业期间的情绪状态数据。在研究过程中，开发了一套学生团队合作学习过程中情绪数据自动采集的软件解决方案。该解决方案可用于未来旨在研究情绪状态对学生教育成功影响的研究。研究结果可用于形成俄罗斯大学的研究议程，以实现俄罗斯联邦政府批准的“俄罗斯联邦数字经济”计划中“教育和人员”部分的目标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

6.10

自引率

3.70%

发文量

审稿时长

20 weeks

期刊介绍： INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.