Living among immigrants at the U.S.-Mexico border: Community-based learning and the benefits evidenced through network science

Abstract

This study examines immersive community learning during a student trip to the United States-Mexico border, with nine students documenting their experiences through journals and evaluations. Using innovative techniques from statistical network science, we analyzed commonalities and differences in students' experiences, quantitatively assessing sentiment variations and exploring their first-hand observations. Novel methods using cluster centrality and community detection were deployed to identify broad areas of observation and concern. Emotion fluctuations, recorded with the National Research Council (American English) dictionary, are placed on a firm numerical basis, and thematic currents are unearthed with the presence or absence of topical diversity. Students reported strong emotional engagement with their experiences, reflecting on challenged worldviews through phrases like "border dynamics," "strong stories" from immigrant narratives, and "emotional farewell." These findings demonstrate that community-based learning curricula, which extend beyond traditional classroom limits, can effectively address and overcome misinformation regarding border issues. The study spotlights the transformative potential of education focused on community engagement, empathy, and solidarity, providing a framework for future community-based educational projects and emphasizing their substantial benefits to student learning experience. Four pedagogical contributions and actionable insights to take from this research: (1) preparation and design, (2) emphasis on “communal living,” (3) reflection, and (4) establishing trust.