An introductory-level guide to social network analysis with the supporting R code.
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Updated
Jun 2, 2025 - R
An introductory-level guide to social network analysis with the supporting R code.
tool for extracting competency insights from natural, multi-speaker audio recordings
Literature review project on the field of research on learning to teach with technology
Family as Faculty as Infrastructure Social Network Analysis.
Student-Well hosts a study analyzing the impact of mental health on students' academic performance, specifically looking at GPA correlations. Using Python for statistical analysis, it challenges prior research by demonstrating no negative correlation between mental health issues and academic success.
GreatSchools school data scraper
This repository hosts a study analyzing the impact of mental health on students' academic performance, specifically looking at GPA correlations. Using Python for statistical analysis, it challenges prior research by demonstrating no negative correlation between mental health issues and academic success.
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
A statistical analysis of CWUR university rankings (2012-2015) exploring correlation between education quality and global university rankings. Using R programming for data visualization and analysis, revealing significant correlation (rs = 0.633) with 45.72% variance explanation. Part of UH research project, featuring time-series analysis.
Academic study project exploring software and hardware keystroke capture techniques for cybersecurity awareness, threat modeling, and defensive research. No malicious deployment intended.
Reporte resumen de las unidades educativas de Bolivia con proyecciones de la cantidad de unidades educativas y estudiantes para el año 2024 en base a datos del año 2020.
Ordinal regression and mediation analysis examining the gap between AI adoption and advocacy among K-12 educators. Part 3 of a three-paper series using JASP and Python. N=189 teachers in Jordan.
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
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