SDT need satisfaction predicted post-intervention willingness beyond baseline capacity, while post-intervention TPACK showed only a weak, non-significant association with willingness¶

Claim · All claims
Evidence · 1 study · design r3 · q2 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i3 Controlling for baseline measures, SDT need satisfaction remained significantly associated with AI attitude (r_partial = .521, p = .032), whereas post-intervention TPACK did not (r_partial = .378, p = .134). → Haiyang Xin 2026

Evidence¶

Haiyang Xin 2026¶

Haiyang Xin, Qiannan Niu, Shuang Li, Yimeng Sun, Ching Sing Chai, Lingyun Huang, Gaowei Chen. (2026). An Activity-Theoretical Approach to Teacher Professional Development in Pedagogical AI Agent Design. https://arxiv.org/abs/2605.12934 doi:10.48550/arxiv.2605.12934

q2 · i3 · design · r3

Partial correlation analyses in Cycle 2 controlling for all baseline measures, with the printed effect size r_partial = .521 for SDT and AI attitude. SDT also strongly associated with Intelligent TPACK (r_partial = .715, p < .001) and IPACK (r_partial = .812, p < .001).

"when controlling for baseline capacity, SDT's association with willingness (AI attitude) remained significant (r_partial = .521, p = .032), whereas post-intervention TPACK showed only a weak, non-significant association (r_partial = .378, p = .134)."

Discussion¶

Related Claims¶

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• AI literacy relates to AI integration intention through a serial indirect pathway via AI-TPACK and science teaching self-efficacy — related
• SDT-driven activity system redesign in Cycle 2 produced significant pre-post gains in AI-TPACK (d = 0.70), IPACK (d = 0.86), and AI attitude (d = 0.58) — related
• Additive TPACK–belief integrations produce construct overlap, causal ambiguity, and weak intervention guidance — a broader claim this one bears on
• Review reports that teachers' beliefs, attitudes and TPACK—not AI knowledge alone—mediate AI integration — related
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