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Anfal-AR / rf-perception-dominance

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Random Forest vs nested logistic regression comparing predictors of AI adoption among K-12 educators (N=189). Beliefs about student learning dominate all predictors (importance=0.415). 97.3% accuracy, AUC=1.000. JASP for stats/ML, Python for visualization. DOI: 10.5281/zenodo.17519163

python data-science machine-learning random-forest scikit-learn data-visualization artificial-intelligence classification logistic-regression predictive-modeling mann-whitney model-comparison jasp education-research technology-adoption research-portfolio k12-education published-research teacher-perception
  • Updated Dec 11, 2025
  • Python

Anfal-AR / ai-barriers-cluster-analysis

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Hierarchical cluster analysis of AI implementation barriers among K-12 educators (N=189). Person-centered approach reveals 8 distinct constraint profiles with inverse cost-skill relationship (φ=-.246). JASP for statistics, Python for visualization. Published: DOI 10.5281/zenodo.17519099

python data-visualization seaborn artificial-intelligence statistical-analysis matplotlib cluster-analysis hierarchical-clustering educational-technology chi-square-test jasp implementation-science education-research survey-research data-sceince research-portfolio k12-education published-research barriers-to-adoption teacher-development
  • Updated Dec 12, 2025
  • Python

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