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Cognitive Informatics and Statistics Lab
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Resources

Lab Repositories

  • OSF: Open Science Foundation
  • Github: https://github.com/coinslab
  • YouTube: https://www.youtube.com/@COINSLAB

Books

Click on each of these books to learn more about COINS lab research activities!!!

References

Golden, R. M. (2025). AI and Cognitive Diagnostic Models for Educational Assessment: Connections, Integrations, and New Directions. Symposium on “Bridging Theory and Practice: Fostering Innovation in Diagnostic Measurement to Enhance Education”. 2025 National Council on Measurement in Education Conference. Denver, Colorado.

Podcasts

https://www.learningmachines101.com/lm101-037-how-to-build-a-smart-computerized-adaptive-testing-machine-using-item-response-theory/
https://www.learningmachines101.com/lm101-038-how-to-model-knowledge-skill-growth-over-time-using-bayesian-nets-educational-technology/

Software Languages and Tools

  • Getting Started in Julia
  • Setting up Julia via juliaup
  • List of R Packages used in the Lab
  • Getting Started with Python
  • Install MATLAB on your personal computer for free if you are a UTD student
  • A Julia package for loading many of the datasets available in CDM R package
  • Julia setup and introductory machine learning
  • A set of IRT and Non-IRT based models to detect Item Bias
  • Statistical tools for implementing Multidimensional Item Response Theory
  • How to implement several CDMs using MCMC 
  • Course on Bayesian Psychometrics by Jonathan Templin
  • Virtual Lab for High-throughput macro-level experiments (empirica.ly)
 

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