Cognitive-Professional Resource Configurations for AI-Mediated Teaching: Perceived Teacher-Education Support and Intelligent Professional Action

AI-mediated teaching requires teachers to evaluate uncertain information, respond to changing conditions, and integrate AI with pedagogical judgment. This study examined four cognitive-professional resource domains relevant to intelligent professional action: digital literacy, digital resilience, AI-mediated epistemic agency (AMEA), and AI-TPACK. Variable-centered and person-centered analyses drew on a cross-sectional survey of 942 YouShi Plan preservice teachers at one Chinese university. Perceived structured teacher-education support was positively associated with all four resources. Self-reported teaching innovation competence was positively associated with jointly higher digital literacy and digital resilience, with the response surface primarily reflecting their combined level. Four resource profiles mainly differed in overall level and showed graded differences in perceived teaching innovation competence. Higher perceived support was also associated with membership in higher-resource profiles. Together, these findings connect perceived teacher-education support, cognitive-professional resource configurations, and self-reported teaching innovation competence, positioning the latter as a domain-specific perceived capability relevant to intelligent professional action in AI-mediated teaching.

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Publication Details

Journal
Journal of Intelligence
Published
2026-11-05
DOI
https://doi.org/10.3390/jintelligence14110288
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Cognitive-Professional Resource Configurations for AI-Mediated Teaching: Perceived Teacher-Education Support and Intelligent Professional Action

Huan Song, Jiaoyang Du, Jiacheng Wang, Xu Liu
Journal of Intelligence
Artificial Intelligence in Education
article

Cognitive-Professional Resource Configurations for AI-Mediated Teaching: Perceived Teacher-Education Support and Intelligent Professional Action

Huan Song, Jiaoyang Du, Jiacheng Wang, Xu Liu
article en

Abstract

AI-mediated teaching requires teachers to evaluate uncertain information, respond to changing conditions, and integrate AI with pedagogical judgment. This study examined four cognitive-professional resource domains relevant to intelligent professional action: digital literacy, digital resilience, AI-mediated epistemic agency (AMEA), and AI-TPACK. Variable-centered and person-centered analyses drew on a cross-sectional survey of 942 YouShi Plan preservice teachers at one Chinese university. Perceived structured teacher-education support was positively associated with all four resources. Self-reported teaching innovation competence was positively associated with jointly higher digital literacy and digital resilience, with the response surface primarily reflecting their combined level. Four resource profiles mainly differed in overall level and showed graded differences in perceived teaching innovation competence. Higher perceived support was also associated with membership in higher-resource profiles. Together, these findings connect perceived teacher-education support, cognitive-professional resource configurations, and self-reported teaching innovation competence, positioning the latter as a domain-specific perceived capability relevant to intelligent professional action in AI-mediated teaching.

Journal of IntelligenceVol. 14(11)
Beijing Normal University (CN)
Openalex Percentile: Top 8%
Artificial Intelligence in Education
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