Additive TPACK–belief integrations produce construct overlap, causal ambiguity, and weak intervention guidance¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? When knowledge and belief constructs are specified as parallel predictors, models cannot distinguish demonstrated knowledge from belief about capability and cannot rank intervention targets. → Mnguni L 2026

Evidence¶

Mnguni L 2026¶

Mnguni L (2026) A Capability–Decision Model of teacher readiness for AI integration in teaching. Front. Educ. 11:1897632. https://doi.org/10.3389/feduc.2026.1897632

q1 · i? · theoretical · r3

Theoretical argument in the article's review of additive TPACK–belief integrations (Section 2), illustrated with four cited studies (Joo et al. 2018; Wangdi et al. 2023; Al-Abdullatif 2024; Runge et al. 2025) in which self-reported knowledge constructs were entered beside belief constructs. The article argues this "remains unclear whether to prioritise capability building, normative change, infrastructure provision, or coaching."

"When several predictors are statistically significant in an additive model, it remains unclear whether to prioritise capability building, normative change, infrastructure provision, or coaching."

Discussion¶

Related Claims¶

• Capability and PBC must be separated by a priori discriminant-validity criteria including HTMT below .85 — a broader claim this one bears on
• SDT need satisfaction predicted post-intervention willingness beyond baseline capacity, while post-intervention TPACK showed only a weak, non-significant association with willingness — a narrower finding that bears on this claim
• Review reports that teachers' beliefs, attitudes and TPACK—not AI knowledge alone—mediate AI integration — related
• The study demonstrates the need for particular instructional supports, including differentiated expertise-building opportunities and addressing teacher beliefs about computational-model construction — related
• AI knowledge and attitudes toward AI did not significantly predict teachers' AI integration ability — related
• AI literacy relates to AI integration intention through a serial indirect pathway via AI-TPACK and science teaching self-efficacy — related
• Prior comparative evidence shows small intention–norm and intention–control associations and a TPB model significant in Thailand but not South Africa — related