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Enterprise AI Analysis: Assessing teachers' generative artificial intelligence competencies: instrument development and validation

Enterprise AI Analysis

Empowering Educators in the Age of Generative AI

This study developed and validated the Teachers' GenAI Competencies (T-GAIC) instrument to assess teachers' readiness and abilities in integrating GenAI into education. Comprising five dimensions (Technological Proficiency, Pedagogical Compatibility, Student Preparation, Professional Development & Communication, and Risk & Ethical Awareness), the 36-item instrument demonstrated strong reliability and validity through EFA and CFA with 478 pre-service and in-service teachers. It provides a robust tool for professional development and research on GenAI integration.

Key Insights & Impact Metrics

Our analysis highlights critical areas where the T-GAIC instrument provides tangible benefits for educational institutions aiming to integrate GenAI effectively.

478+ Teachers Surveyed
>0.98 Internal Consistency (Alpha)
5 Dimensions Validated
>0.946 Model Fit (CFI)

Deep Analysis & Enterprise Applications

Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.

The T-GAIC instrument was meticulously developed through literature review, expert validation, and think-aloud sessions. It includes five dimensions tailored to GenAI's unique affordances.

36 Final items in T-GAIC instrument after validation, ensuring precision and relevance for assessing GenAI competencies.

Enterprise Process Flow

Literature Review
Initial Item Development (45 items)
Expert Review & Revision (12 items modified)
Think-aloud Sessions & Revision (9 items removed)
Field Test (38 items)
EFA & CFA (Final 36 items)

Psychometric validation demonstrated high reliability (Cronbach's alpha > 0.90) and robust construct validity (RMSEA=0.078, CFI=0.946, TLI=0.934), with strong convergent and discriminant validity.

T-GAIC Validation Highlights

Measure Result Implication
Cronbach's Alpha >0.90
  • High internal consistency and reliability.
RMSEA 0.078
  • Good model fit, indicating alignment with theoretical structure.
CFI/TLI 0.946/0.934
  • Strong incremental fit, robust construct validity.
Factor Loadings 0.52-0.79
  • All items significantly contribute to their respective factors.
AVE >0.50
  • Strong convergent validity for all dimensions.
HTMT 0.38-0.66
  • Excellent discriminant validity among factors.

Empirical Rigor: How T-GAIC Ensures Accuracy

The validation process involved 478 pre-service and in-service teachers, ensuring a diverse and representative sample. Item discrimination analysis effectively differentiated between high and low-performing teachers, with DI values exceeding 0.4. Exploratory Factor Analysis (EFA) confirmed a five-factor structure explaining 72% of total variance, while Confirmatory Factor Analysis (CFA) robustly validated this structure with excellent fit indices. This rigorous methodology underpins the instrument's credibility for assessing GenAI competencies.

T-GAIC offers a practical tool for researchers, educators, and policymakers to assess GenAI competencies, support professional development, and inform curriculum design. Future work will focus on cross-cultural and criterion-related validity.

Gap Filled T-GAIC uniquely addresses the need for GenAI-specific competency assessment, moving beyond general AI literacy.

Calculate Your Potential AI Impact

Estimate the efficiency gains and cost savings your institution could realize by strategically implementing GenAI with well-trained educators.

Estimated Annual Savings $0
Annual Hours Reclaimed 0

Your Strategic Implementation Roadmap

A phased approach ensures successful integration of GenAI competencies within your educational framework, maximizing impact and minimizing disruption.

Phase 1: Needs Assessment

Identify current GenAI competency gaps within your teaching staff through T-GAIC deployment.

Phase 2: Targeted Training Design

Develop customized professional development programs based on identified competency areas using T-GAIC insights.

Phase 3: Integration & Support

Facilitate ethical and effective GenAI integration in classrooms with ongoing support and resource sharing.

Phase 4: Impact Evaluation

Periodically re-assess teacher competencies with T-GAIC to measure the effectiveness of interventions and refine strategies.

Ready to Equip Your Educators for the AI Future?

Leverage the T-GAIC instrument to build a highly competent teaching force ready for generative AI. Book a free consultation with our experts to design a tailored strategy for your institution.

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