Project Activities
During the Direct to Phase II project, the team will develop: the back-end infrastructure to automatically scrape data from publicly available sources on teacher shortages while prioritizing districts serving the largest proportion of students; a cloud-based data storage and processing system to organize and host the data; define a taxonomy and test models to categorize job postings by key areas; and a data dashboard for SEA administrators to present results and inform hiring decisions. After development is complete, the researchers will conduct a pilot study to inform hiring decisions over 4-months with 6 SEA administrators who are involved in teacher recruitment. Researchers will examine whether the product accurately presents information on district hires and vacancies using scraped state administrative data, whether users understand and find information in the dashboard easy to navigate, whether users interpret the information correctly, and whether the SEA administrators believe the use of the product results in time savings and improved decision making compared to prior tools.
People and institutions involved
IES program contact(s)
Products and publications
In prior university-based projects, researchers created a method to gather real-time reports of teacher shortages via web scraping of school system job postings. In research studies this method has been shown to be a valid indicator of on-to-ground hiring needs for different student populations. This project will develop a new education technology-based data dashboard for use by states which will provide SEA administrators real-time data about K-12 labor markets to inform hiring decisions to address teacher shortages and to quickly measure the impact of such interventions.
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To answer additional questions about this project or provide feedback, please contact the program officer.
