Workplace Demands and Emotional Expression Among Early Childhood Educators: A Computational Analysis of Professional Online Discourse
Hailong Jiang

TL;DR
This study analyzes online posts from early childhood educators to reveal that their discourse reflects high demands and emotional strain, especially fear, sadness, and anger, highlighting workplace stressors.
Contribution
It introduces a computational framework combining thematic coding and emotion classification to analyze online discourse in early childhood education.
Findings
56.7% of posts focus on demands, indicating high work-related strain.
Fear is the most prominent non-neutral emotion expressed.
Posts related to demands show higher sadness and anger than those about resources.
Abstract
Early childhood educators work in settings characterized by heavy regulation, emotional labor, staffing instability, and low pay. Although these conditions are well documented in survey-based research, less is known about how they manifest in the day-to-day language educators use in peer spaces. This study examines 7,506 posts from r/ECEProfessionals, a large online community used by early childhood education practitioners. Using a structured, computer-assisted thematic coding workflow and transformer-based emotion classification, posts were organized into 15 themes and mapped onto an adapted Job Demands-Resources (JD-R) framework. Across the corpus, 56.7% of posts centered on demands when task-level and core job demands were combined, compared with 33.6% focused on resources and 9.6% on career conditions. Emotion estimates indicated a broadly neutral tone overall; however, fear…
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