Literaturnachweis - Detailanzeige
Autor/inn/en | Dai, Zilin; McReynolds, Andrew; Whitehill, Jacob |
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Titel | In Search of Negative Moments: Multi-Modal Analysis of Teacher Negativity in Classroom Observation Videos [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (16th, Bengaluru, India, Jul 11-14, 2023). |
Quelle | (2023), (8 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Teacher Behavior; Negative Attitudes; Nonverbal Communication; Teacher Student Relationship; Interaction; Video Technology; Emotional Response; Speech Communication; Classroom Environment; Classroom Observation Techniques; Artificial Intelligence; Elementary Schools; Middle Schools Teacher behaviour; Lehrerverhalten; Negative Fixierung; Non-verbal communication; Nonverbale Kommunikation; Teacher student relationships; Lehrer-Schüler-Beziehung; Interaktion; Emotionales Verhalten; Klassenklima; Unterrichtsklima; Künstliche Intelligenz; Elementary school; Grundschule; Volksschule; Middle school; Mittelschule; Mittelstufenschule |
Abstract | We explore multi-modal machine learning-based approaches (facial expression recognition, auditory emotion recognition, and text sentiment analysis) to identify "negative moments" of teacher-student interaction during classroom teaching. Our analyses on a large (957 videos, each 20min) dataset of classroom observations suggest that: (1) Negative moments occur sparsely and are laborious to find by manually watching videos from start to finish; (2) Contemporary machine perception tools for emotion, speech, and text sentiment analysis show only limited ability to capture the diverse manifestations of classroom negativity in a fully automatic way; (3) Semi-automatic procedures that combine machine perception with human annotation may hold more promise for finding authentic moments of classroom negativity; Finally, (4) even short 10 sec negative moments contain rich structure in terms of the actions and behaviors that they comprise. [For the complete proceedings, see ED630829.] (As Provided). |
Anmerkungen | International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/ |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |