AI tool use, loneliness, and academic stress in college

This study examined links between college students' experience using artificial intelligence tools and their academic stress. Results showed that greater experience with these tools was associated with higher academic stress. Feelings of loneliness partially explained this relationship, acting as a bridge between tool experience and stress. Academic self-efficacy changed how strongly tool experience predicted loneliness, with stronger self-efficacy linked to a stronger positive association between use and loneliness.

What the study examined

This research looked at how students’ experience with artificial intelligence tools relates to academic stress. It also tested whether loneliness helps explain that connection and whether academic self-efficacy changes any part of the pathway.

The study used established scales for AI tool experience, loneliness, academic stress, and academic self-efficacy to assess these relationships among university students.

Key findings

• Direct association: More experience using AI tools predicted higher levels of academic stress.
• Indirect link through loneliness: Loneliness partly mediated the relationship, meaning that part of the link between tool experience and stress operated through increased feelings of loneliness.
• Role of academic self-efficacy: Academic self-efficacy moderated the first stage of the mediation. Specifically, the positive effect of AI tool experience on loneliness was stronger for students with higher academic self-efficacy and weaker for those with lower academic self-efficacy.

Why it matters

These findings highlight a more complex psychological picture of students’ interactions with educational technology. The results indicate that experience with AI tools can relate not only directly to stress but also indirectly by affecting emotional experiences such as loneliness.

The moderating role of academic self-efficacy suggests that students’ beliefs about their academic abilities influence how tool experience connects to emotional outcomes. In other words, the same level of tool experience can have different emotional correlates depending on students’ self-efficacy levels.

Overall, the study points to multiple pathways linking technology use and student well-being, underscoring the importance of considering both emotional states and personal beliefs when examining the psychological impact of educational tools.