← Search

Data · dataset · 2025

Artificial intelligence related attitudes

Listed in Teesside University Research Data Repository

This study investigates the General Attitude toward Artificial Intelligence Scale usability in graduate and undergraduate populations.

Description

The statistical analyses (latent profile analysis) identified four distinct attitude types: skeptical (8.4%), ambivalent (68.6%), undifferentiated (1.3%), and enthusiastic (21.7%). These profiles showed meaningful differences across various psychosocial and personality dimensions.

Skeptics displayed elevated schizotypal traits, enthusiasts had lower schizotypy and greater psychological well-being, the ambivalent group was dominated by negative affectivity, and the undifferentiated group demonstrated the highest levels of positive mental health.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/f99k5krsbx.15 h agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title