Employing automatic content recognition for teaching methodology analysis in classroom videos.
A teacher plays a pivotal role in grooming a society and paves way for its social and economic developments. Teaching is a dynamic role and demands continuous adaptation. A teacher adopts teaching techniques suitable for a certain discipline and a situation. A thorough, detailed, and impartial obser...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0263448 |
| _version_ | 1818907276623216640 |
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| author | Muhammad Aasim Rafique Faheem Khaskheli Malik Tahir Hassan Sheraz Naseer Moongu Jeon |
| author_facet | Muhammad Aasim Rafique Faheem Khaskheli Malik Tahir Hassan Sheraz Naseer Moongu Jeon |
| author_sort | Muhammad Aasim Rafique |
| collection | DOAJ |
| description | A teacher plays a pivotal role in grooming a society and paves way for its social and economic developments. Teaching is a dynamic role and demands continuous adaptation. A teacher adopts teaching techniques suitable for a certain discipline and a situation. A thorough, detailed, and impartial observation of a teacher is a desideratum for adaptation of an effective teaching methodology and it is a laborious exercise. An automatic strategy for analyzing a teacher's teaching methodology in a classroom environment is suggested in this work. The proposed strategy recognizes a teacher's actions in videos while he is delivering lectures. In this study, 3D CNN and Conv2DLSTM with time-distributed layers are used for experimentation. A range of actions are recognized for a complete classroom session during experimentation and the reported results are considered effective for analysis of a teacher's teaching technique. |
| first_indexed | 2024-12-19T21:52:33Z |
| format | Article |
| id | doaj.art-ca586ae9e8d04a8ba4249c41d1214fee |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-19T21:52:33Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-ca586ae9e8d04a8ba4249c41d1214fee2022-12-21T20:04:22ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01172e026344810.1371/journal.pone.0263448Employing automatic content recognition for teaching methodology analysis in classroom videos.Muhammad Aasim RafiqueFaheem KhaskheliMalik Tahir HassanSheraz NaseerMoongu JeonA teacher plays a pivotal role in grooming a society and paves way for its social and economic developments. Teaching is a dynamic role and demands continuous adaptation. A teacher adopts teaching techniques suitable for a certain discipline and a situation. A thorough, detailed, and impartial observation of a teacher is a desideratum for adaptation of an effective teaching methodology and it is a laborious exercise. An automatic strategy for analyzing a teacher's teaching methodology in a classroom environment is suggested in this work. The proposed strategy recognizes a teacher's actions in videos while he is delivering lectures. In this study, 3D CNN and Conv2DLSTM with time-distributed layers are used for experimentation. A range of actions are recognized for a complete classroom session during experimentation and the reported results are considered effective for analysis of a teacher's teaching technique.https://doi.org/10.1371/journal.pone.0263448 |
| spellingShingle | Muhammad Aasim Rafique Faheem Khaskheli Malik Tahir Hassan Sheraz Naseer Moongu Jeon Employing automatic content recognition for teaching methodology analysis in classroom videos. PLoS ONE |
| title | Employing automatic content recognition for teaching methodology analysis in classroom videos. |
| title_full | Employing automatic content recognition for teaching methodology analysis in classroom videos. |
| title_fullStr | Employing automatic content recognition for teaching methodology analysis in classroom videos. |
| title_full_unstemmed | Employing automatic content recognition for teaching methodology analysis in classroom videos. |
| title_short | Employing automatic content recognition for teaching methodology analysis in classroom videos. |
| title_sort | employing automatic content recognition for teaching methodology analysis in classroom videos |
| url | https://doi.org/10.1371/journal.pone.0263448 |
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