Perceived usefulness of AI and intent to continue using it differ significantly across challenge domains, with academic tasks rated most useful¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Kruskal-Wallis tests showed significant differences across domains for usefulness (χ2 = 15.14, p=0.002) and intent to continue (χ2 = 11.27, p=0.010), but not satisfaction (χ2 = 6.74, p=0.08). → Nourian 2026 q2 i? Post hoc tests showed students find AI significantly more useful for academic than socio-cultural tasks (p=0.0048) and are more likely to continue using it for academic tasks (p=0.0054). → Nourian 2026 (2)

Evidence¶

Nourian 2026¶

Nourian, L.; Callis, A.; Patterson, S.; Miao, J.; Heard, J.; Tigwell, G. W. (2026). Understanding How International Students in the U.S. Are Using Conversational AI to Support Cross-Cultural Adaptation. arXiv. https://arxiv.org/abs/2605.15127 doi:10.48550/arxiv.2605.15127

q2 · i? · associational · r1

Kruskal-Wallis tests on Likert ratings of usefulness, satisfaction, and intent to continue across the four challenge domains in the survey of 60 international students. The test shows "a significant difference between usefulness" and intent of continuation across domains but not satisfaction.

"there is a significant difference between usefulness (𝜒 2 = 15.14, p-value=0.002) and intent of continuation (𝜒 2 = 11.27, p-value=0.010), but not for the satisfaction variable (𝜒 2 = 6.74, p-value=0.08)."

Nourian 2026 (2)¶

Nourian, L.; Callis, A.; Patterson, S.; Miao, J.; Heard, J.; Tigwell, G. W. (2026). Understanding How International Students in the U.S. Are Using Conversational AI to Support Cross-Cultural Adaptation. arXiv. https://arxiv.org/abs/2605.15127. doi:10.48550/arxiv.2605.15127

q2 · i? · associational · r1

Post hoc pairwise tests following the Kruskal-Wallis analysis in the survey study. The article reports "Students are significantly more likely to continue using AI for Academic tasks (p=0.0054)" because usefulness is higher for academic than socio-cultural tasks; logistical vs academic (p=0.28) and socio-cultural vs psychological (p=1) were not significant.

"Students are significantly more likely to continue using AI for Academic tasks (p=0.0054) because it is significantly more useful for those tasks (p=0.0048)."

Discussion¶

Related Claims¶

• Students rate AI's helpfulness positively overall, with academic challenges receiving the highest usefulness, satisfaction, and intent-to-continue scores — possibly the same claim (merge candidate)
• International students use conversational AI predominantly for task-oriented academic and logistical support rather than for psychological or chronic emotional challenges — related
• Across all four challenge domains, students' intent to continue using AI significantly exceeds their current satisfaction with it — related
• Interviews confirm students use AI across all four challenge domains throughout the migration timeline, including for academic communication support — related
• Frequency of generative AI use for homework differs significantly by subject, with natural sciences most resistant and economics most adopted — related
• Most students reported no change in study habits, but students who adapted their study strategies rated GenAI-evaluation assignments as significantly more helpful — related
• Sentiment differs significantly across target audiences, with faculty-targeted guidelines more positive than student-targeted ones — related
• Prompt-count distributions differ significantly across assignments, with moderate prompting most common and extended prompting (10+) rare except in Algorithms (18.0%) — related