Importance-performance mapping identifies behavioural intention as the strategic priority for raising teachers' GenAI digital competence¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In the IPMA, behavioural intention combines the highest importance and performance for predicting digital competence, while PU and PE show secondary roles and AOU shows low relevance. → Guillén-Gámez 2026

Evidence¶

Guillén-Gámez 2026¶

Guillén-Gámez, F. D., Tomczyk, Ł., Habibi, A., & Díaz Vargas, B. L. (2026). Transforming curriculum design with generative AI: a model for assessing teacher digital competence. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10647-6

q2 · i? · associational · r2

Importance-performance map analysis (IPMA) of total effects on digital competence in the 434-teacher PLS-SEM model, shown in Fig. 3. BI ranked highest; PU and PE showed "notable values"; SE and PEOU had good performance but limited predictive effect; AOU showed low relevance.

"The Fig. 3 shows that BI has the greatest impact on DC, combining high importance (≈ 0.49) and high performance (≈ 86), suggesting that this construct should be considered a strategic priority in the design of training interventions, since its improvement would significantly impact the DC factor."

Discussion¶

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