Table 6.
Results of regression model with CEM weights
| Independent Variable | AIknowledge | AIteaching | ||||||
|---|---|---|---|---|---|---|---|---|
| β | S.E | t | p | β | S.E | t | p | |
| AIcurricular | .137 | .019 | 7.17 | < .001 | -.105 | .035 | −3.00 | .003 |
| Gender | -.162 | .017 | −9.84 | < .001 | -.135 | .030 | −4.48 | < .001 |
| Age | .005 | .003 | 1.73 | .084 | .009 | .005 | 1.89 | .059 |
| Total academic years | -.009 | .013 | −0.73 | .466 | .038 | .024 | 1.60 | .110 |
| Experience of programming code | .255 | .019 | 13.14 | < .001 | .142 | .035 | 4.03 | < .001 |
| Experience of technical devices usage | .049 | .009 | 5.81 | < .001 | .091 | .016 | 5.86 | < .001 |
| Constant | 2.218 | .106 | 20.93 | < .001 | 3.547 | .193 | 18.34 | < .001 |
| N | 3,784 | 3,772 | ||||||
| R2 | .1025 | .0262 | ||||||