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Scientific implementation and evaluation of primal-dual interior point methods for linear programming, including Mehrotra’s predictor-corrector algorithm, with an accompanying PDF report detailing methodology, experiments, and results.

  • Updated Dec 1, 2025
  • Jupyter Notebook

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

  • Updated Dec 12, 2025
  • Python

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

  • Updated Dec 11, 2025
  • Python

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