aceArtificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning
The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both…
University students perceived that AI and social media use improved academic performance and mental well-being, with smart learning amplifying those benefits.
Findings are based on a specific population of 401 Chinese university students, limiting generalizability beyond that context.
Evidence
- Peer-reviewedHeliyon2024-04-01
How should this claim be treated?
Truvace Impact Record TRV-2026-0449, v1: “Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning.” Truvace, 2026-07-20. /record/TRV-2026-0449 (accessed at citation time). sha256 3f71a41121ee4574…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0449 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.