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Title: Investigating relationships of sentiments, emotions, and performance in professional development K-12 CS teachers
Background and Context: Professional development (PD) programs for K-12 computer science teachers use surveys to measure teachers’ knowledge and attitudes while recognizing daily sentiment and emotion changes can be crucial for providing timely teacher support. Objective: We investigate approaches to compute sentiment and emotion scores automatically and identify associations between the scores and teachers’ performance. Method: We compute the scores from teachers’ assignments using a machine-assisted tool and measure score changes with standard deviation and linear regression slopes. Further, we compare the scores to teachers’ performance and post-PD qualitative survey results. Findings: We find significant associations between teachers’ sentiment and emotion scores and their performance across demographics. Additionally, we find significant associations that are not captured by post-PD qualitative surveys. Implications: The sentiment and emotion scores can viably reflect teachers’ performance and enrich our understanding of teachers’ learning behaviors. Further, the sentiment and emotion scores can complement conventional surveys with additional insights related to teachers’ learning performance.  more » « less
Award ID(s):
1837476
PAR ID:
10545539
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
Taylor & Francis
Date Published:
Journal Name:
Computer Science Education
ISSN:
0899-3408
Page Range / eLocation ID:
1-32
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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