Model links course design, psychological safety and guided AI use

The research, a descriptive phenomenological study of 45 online undergraduates, found that trauma-related regulatory strain intensified cognitive demands. This strain was particularly evident in challenges related to course navigation, pacing expectations, and limited instructional presence. Participants reported that ongoing stress and competing responsibilities significantly affected their concentration and problem-solving abilities.

The study highlights that feelings of belonging and psychological safety were crucial for supporting student engagement. In contrast, GenAI emerged as a tool for short-term cognitive relief, helping students initiate tasks during periods of overwhelm. Students described GenAI as a situational support that could reduce the initial panic of a blank page or help break down complex assignments into manageable steps.

However, the research also uncovered student concerns regarding potential AI dependency and the lack of clear ethical boundaries for its use in learning. This suggests that while GenAI offers immediate benefits for managing cognitive load, its integration into educational models requires careful consideration of long-term implications and clear guidelines to prevent over-reliance or misuse.

The Trauma-Informed AI Persistence (TIAIP) Model proposed by the researchers connects trauma-informed pedagogical approaches with digital course architecture and guided GenAI use. This model suggests a structured way to integrate AI that acknowledges the varied experiences and potential stressors of nontraditional learners, moving beyond simple motivation as a driver for persistence.