Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-0161
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-13T09:08:15.457474Z
status: published
lens: g_space
sector: education
headline: THE INFLUENCE OF ARTIFICIAL INTELLIGENCE ON HUMAN BEHAVIOR AND WELL-BEING: AN EMPIRICAL STUDY
dek: Artificial Intelligence (AI) is a sector within computer science dedicated to creating systems designed to execute functions traditionally requiring human cognition, including visual perception, speech recognition, decision-making, and language translation. Its significance for human well-being is highlighted by its role in refining and accelerating decision-making, elevating healthcare standards, boosting productivity in multiple sectors, and addressing intricate social issues. This study utilized a mixed-metho…
gain_title: AI use was associated with strong perceived gains in educational support through enhanced and personalized learning environments, and in emotional and mental well-being.
problem_title: (none)
trace_subject: (none)
gain_reading: AI use was associated with strong perceived gains in educational support through enhanced and personalized learning environments, and in emotional and mental well-being.
gain_evidence: enhancing learning environments and personalizing education to fit individual needs | Emotional and Mental Well-being, which scored the highest mean difference at 4.9, demonstrating AI's profound influence on improving well-being through various applications
problem_reading: (none)
problem_evidence: (none)
quick_read: On 2026-06-04 a peer-reviewed study reported results from 150 participants surveyed about AI's influence on behavior and well-being. Using a Likert-scale questionnaire analyzed in SPSS version 25, the authors found educational support had the highest mean at 4.89 and emotional and mental well-being had the highest mean difference at 4.9, with all T-tests significant at p < 0.000.

The pattern matters because it shows the same AI applications perceived as strongly helpful for personalized learning and well-being were also perceived as contributing to social isolation, though to a lesser degree at 3.05. It remains uncertain whether these self-reported perceptions translate to objective learning or health outcomes, and how they vary beyond the 150-person sample.
limitation: Findings based on self-reported Likert-scale questionnaire from 150 participants, limiting generalizability and relying on perceived rather than measured outcomes.
tag: Evidence-backed gain
key_points: Mixed-method study with 150 participants using structured Likert-scale questionnaire analyzed with SPSS version 25. | Educational Support had highest mean at 4.89 indicating strong influence on personalizing education. | Emotional and Mental Well-being showed highest mean difference at 4.9 in One-Sample T-Tests with p < 0.000. | Social Isolation had lowest mean at 3.05 but still notable as AI-driven technologies might contribute to isolation.
rundown: The authors surveyed 150 participants with a Likert-scale instrument and reviewed literature from academic journals and online databases, analyzing responses in SPSS version 25.

One-Sample T-Tests across all variables returned p < 0.000, with educational support at 4.89 and emotional and mental well-being mean difference at 4.9, while social isolation scored 3.05.
sources:
- peer_reviewed | ShodhAI: Journal of Artificial Intelligence | https://doi.org/10.29121/shodhai.v3.i1.2026.85 | 2026-06-04
prev: 0000000000000000000000000000000000000000000000000000000000000000

sha256

2d14e31f9ead9a1173bcde1ede02314c68f49a5c13508728f5d290e1ebb28668

previous

0000000000000000000000000000000000000000000000000000000000000000