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)¶

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 Paired-sample t-tests showed medium-to-large pre-post improvements in capacity and willingness after the redesigned two-day workshop, with IPACK agent creation capacity at d = 0.86. → 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

Paired-sample t-tests comparing pre- and post-intervention scores for 26 Cycle 2 teachers. IPACK showed the largest change (t = -4.38, df = 25, p < .001, d = 0.86); the article reports "medium to large effect sizes" across dimensions.

"Most notably, AI-TPACK capacity (d = 0.70), IPACK agent creation capacity (d = 0.86), and AI attitude toward sustained use (d = 0.58) all showed medium to large effect sizes."

Discussion¶

Related Claims¶

• A 13-week TPACK-based course significantly improves pre-service preschool teachers' instructional design competence compared with traditional instruction — the general claim this finding bears on, with the studies behind it

• An innovation foreign to the rest of its system tends to be rejected; lasting change needs a coordinated bundle of innovations. — the general claim this finding bears on, with the studies behind it

• 87% of K-12 teachers ceased meaningful AI agent creation within three weeks of completing a two-day professional development workshop — related
• SDT need satisfaction predicted post-intervention willingness beyond baseline capacity, while post-intervention TPACK showed only a weak, non-significant association with willingness — related
• AI-TPACK positively predicts science teaching self-efficacy among Chinese pre-service science teachers — related
• A GenAI-integrated professional development program produced significant pre-to-post gains in EAP educators' ethical awareness (d = 0.93) and digital andragogical competence — related
• Five-day no-code AI agent creation improves students' CT self-perception, with large gains in abstract and algorithmic thinking and a medium gain in pattern recognition and generalization — related
• Students rate their ethical awareness of AI higher than instructors, while instructors report stronger willingness to experiment with AI tools and higher behavioural intention — related
• In an eight-week teacher workshop, the AI technology creation process was iterative and non-linear, with Understand AI and Reflect on Ethical Application phases surrounding the design cycle — related
• Behavioural intention to use GenAI tools significantly predicts in-service teachers' self-reported pedagogical digital competence for curriculum planning — related
• An online PD program using unplugged explainable machine-learning activities increased K–12 educators' AI self-efficacy from below-moderate to above-moderate levels — related
• A professional development masterclass produces a 24% overall improvement in educators' AI utilization competence with large effect sizes — related
• Learning outcome focus significantly moderates effects: knowledge outcomes benefit more than skills, attitudes, or ethics — related