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About IES

Lauren Dachille

Associated IES Content

Contract

Providing State Education Agencies with Needed Teacher Shortage Reporting Through Web Scraping

Teacher shortages are widespread on a national level, with an estimated 200,000 positions either vacant or staffed by underqualified individuals. Schools with higher vacancy rates have worse working conditions, smaller salaries, fewer early career teachers, and are more likely to have lower levels of student achievement. In prior university-based studies, researchers developed a method to gather real-time reports of teacher shortages via web scraping of district job postings. While research ...
Federal funding program:
Small Business Innovation Research
Contract number:
91990024C0018
Grant

Assessing Teacher Applicants: What Can be Learned About Inservice Teacher Quality and Retention by Applying AI to Applicant Short-Answer Questions

The importance of teachers to student success is hard to overstate. Improving school's ability to select more effective teachers is an obvious avenue for improving their workforce. This exploration study will contribute to a small but promising recent body of research on teacher selection, which shows that districts have choice amongst applicants, and can obtain information during the application process that is predictive of both teacher effectiveness and retention. One widely used selectio...
Federal funding program:
Education Research Grants
Award number:
R305A220479
Contract

Leveraging Machine Learning to Improve Teacher Hiring Outcomes

In previous research and development, the developer created a website, Nimble, for K12 administrators to manage the process of recruiting, interviewing, and hiring educators. In this Phase I project, the research team will develop a new prototype with a machine learning engine that predicts the strongest candidates for specific schools to interview, and a user-friendly dashboard for administrators to manage all aspects of the application and hiring process.
Federal funding program:
Small Business Innovation Research
Contract number:
91990021C0020
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