While the sampling framework ensured proportional representation across demographic categories, preliminary analyses revealed notable differences in the magnitude of AI effects across gender and grade-level subgroups, although these differences did not reach statistical significance at conventional thresholds (p > .05).
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Generative artificial intelligence in secondary education: Applications and effects on students' innovation skills and digital literacy.
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Similarly, the anticipated moderating effect of prior technology experience on the AI-capability relationship failed to reach statistical significance (ΔR2 = .02, p = .08), contradicting theoretical propositions from technology acceptance frameworks and suggesting that generative AI may function through distinct pedagogical mechanisms that transcend traditional technology integration paradigms.