Table 4 Path analysis model
Relationships between variables | RW | SE | CR | p | SRW |
|---|---|---|---|---|---|
MLAS ← Gender | – .041 | .018 | – 1.718 | .069 | – .076 |
MLAS ← Age | .028 | .019 | 1.819 | .055 | . 092* |
MLAS ← General ICT use | – .10 | .024 | – 0.477 | .556 | –.026 |
MLAS ← Appropriateness of AI-generated video content creation | – .19 | .026 | – 0.688 | .426 | –.034 |
MLAS ← Number of devices used for AI-generated content access and creation | – .012 | .013 | – 1.355 | .142 | – .065* |
MLAS ← Participation in AI training courses | – .043 | .015 | – 2.763* | .004 | – .132* |
MLAS ← Time–frequency analysis of AI platform use | – .008 | .012 | – 0.308* | .683 | – .017* |
MLAS ← Tech-savviness | – .018 | .015 | – 1.123 | .257* | – .053 |