Evaluation Tools for Data Analysis: An Annotated Bibliography of Artificial Intelligence Resources

Artificial Intelligence and Machine Learning for Workforce Evaluation
State and local workforce agencies produce, collect, and store large volumes of complex data. AI and ML can transform research for performance data and evaluation within the public workforce system. These innovative methods can uncover new insights into the underlying mechanisms that drive system outcomes and offering predictive capabilities for more efficient and effective management. However, the transformative uses of large-scale data is limited by the ability to process the large volumes of data. AI and ML are also tools that organizations can use to develop advanced analytical capacity and techniques.

The first section of this resource introduces methods for research and evaluation in workforce development, such as the use of cluster analysis, market basket analysis, predictive analytics, text mining, and topic modeling. The second section explains how workforce development agencies may use such methods to develop analytical capacity. Additional details describe how to build analytical capacity through technical infrastructure or human capital. This is not an exhaustive list, as AI/ML is a rapidly growing topic.

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• Posted by: Wesley Peterson
• Posted in: Evaluation and Research Hub