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University of Phoenix researchers unveiled a trauma‑informed AI model that links stress, self‑regulation, resilience, belonging, psychological safety, and generative artificial intelligence to support non‑traditional online students. The peer‑reviewed study, published in a medical journal, demonstrates how the model identifies key emotional cues in long‑form student posts and offers tailored feedback to improve engagement. By integrating trauma‑informed pedagogy with digital course architecture, the model helps students feel safer and more connected, reducing dropout rates. The research underscores the growing role of AI in higher education, showing that technology can be harnessed to address mental health challenges while enhancing academic outcomes. The study’s findings suggest that universities adopting similar AI tools may see measurable gains in student retention and satisfaction. As online learning expands, such innovations could become standard practice, offering scalable support for diverse learner populations. The research also highlights ethical considerations, urging institutions

By Marcus E. | JQJO News