Machine learning system to guide teacher reflection on behavior management skills
Paper
Paper/Presentation Title | Machine learning system to guide teacher reflection on behavior management skills |
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Presentation Type | Paper |
Authors | Dann, Christopher (Author), O'Neill, Shirley (Author), Getenet, Seyum (Author), Aboufarw, Khaled (Author), Verma, Navdeep (Author), Chakraborty, Subrata (Author), Yu, Kun (Author), Edmondson, Shawn (Author), Quirke-Bolt, Nigel (Author), Levy, Dalit (Author), McFarlane, Stephen (Author), Quadrelli, Carol (Author), Daly, Molly (Author) and Seifert, Tami (Author) |
Editors | Bastiaens, Theo |
Journal or Proceedings Title | Innovate Learning Summit 2021: Proceedings |
Number of Pages | 13 |
Year | 2021 |
Place of Publication | United States |
ISBN | 9781939797599 |
Web Address (URL) of Paper | https://www.learntechlib.org/primary/p/220299/ |
Conference/Event | Innovate Learning Summit 2021 |
Event Details | Innovate Learning Summit 2021 Event Date 09 to end of 11 Nov 2021 Event Location United States Virtual |
Abstract | This paper presents a classroom behavior management skills classification system based on machine learning to assist teachers to develop their classroom behavior management skills through guided reflection. Such a system would enable more cost-effective application of demonstrably successful approaches to having expert observers identify suggestible moments for reflection. The proposed system accepts input videos from teachers and provides classification results of specific behavior management skills that occurred on those videos. The classification results, together with relevant additional information will be provided to teachers as suggestions for reflection. The proposed approach relies on deep learning and computer vision techniques to provide the classification results. Additionally, the proposed approach has been evaluated on videos containing four of the essential teaching skills and has achieved an average F1-score of 84.75%. |
Keywords | behavior management skills |
ANZSRC Field of Research 2020 | 390113. Science, technology and engineering curriculum and pedagogy |
Byline Affiliations | School of Education |
University of Technology Sydney | |
IRIS Connect, United States | |
University of Limerick, Ireland | |
Kibbutzim College of Education, Israel | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6wq4/machine-learning-system-to-guide-teacher-reflection-on-behavior-management-skills
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