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Despite the growing interest and use of discussion-based social-emotional learning (SEL) programs in K-12 settings, engaging students in these interventions remains challenging due to a lack of understanding of how students engage in these activities and how this engagement associates with SEL outcomes. This study employs learning analytics to address this issue. Using engagement indicators created from learning traces of middle school students, we identified two clusters with distinct engagement patterns: the active and expressive commenters. The active commenter group demonstrated higher scores in social skills. The engagement indicators showed significant relationships with social-emotional competencies, varying across the entire sample and within each cluster. Based on the results, we discuss the implications of this study for research and practice.