Understanding the Complexity of Teacher Emotions From Online Forums: A Computational Text Analysis Approach.

ABSTRACT: Teacher emotions are complex as emotions are unique to individuals, situated within specific contexts, and vary over time. This study contributed in synthesizing theories of the complexity in two characteristics of multi-dimensionality and dynamics. Further, we provided large-scale empirical evidence by employing big data and computational text analysis. The data contained around one million teachers' online posts from 2007 to 2018. It was scraped from three representative forums of teachers' workplace events and personal life occasions in a popular American teacher website. By conducting thread-level sentiment analysis in forums, we computed word-frequency-based eight discrete emotions ratios (i.e., anger, anticipation, disgust, fear, joy, sadness, surprise, and trust) and the degrees of

SUBMITTER: Chen Z 

PROVIDER: S-EPMC7290013 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature