R&D Hub

Those interested in process data in digitally based assessments (DBAs) will want to check out the newest addition to the Focus on NAEP series: “Exploring Process Data in TEL.” This examination of process data from the 2014 Technology and Engineering Literacy (TEL) assessment explores how data collected from digitally based assessments can be used to investigate digital familiarity and efficiency.

Doctoral students can continue to apply through February 2 for the opportunity to work with data from the National Assessment of Educational Progress (NAEP) alongside NAEP researchers from the National Center for Education Statistics (NCES) and the American Institutes for Research (AIR). Applicants to the 2024 NAEP Doctoral Student Internship Program will indicate their intent to conduct research in a variety of topic areas; to provide additional context for those weighing their choices, NAEP researchers Cadelle Hemphill and Brittany Boyd have answered some questions about the Re-envisioning Quantitative Information (data visualization) topic area.

With one month left to apply for the 2024 NAEP Doctoral Student Internship Program (applications close on February 2), we’d like to introduce the NAEP research community to our new internship topic area: artificial intelligence (AI).

The NAEP Doctoral Student Internship Program is entering its eighth year, and applications have just opened! Interns will have the opportunity to work directly with NAEP researchers from the National Center for Education Statistics (NCES) and the American Institutes for Research (AIR) to analyze NAEP data; contribute to the development of statistical methods and education knowledge; and help inform education policy at the national, state, and local levels. This paid internship is remote, with some covered travel to Arlington, VA, expected. Applications will remain open through February 2, 2024.

NCES held the NAEP Math Automated Scoring Challenge in spring 2023, inviting anyone eligible for NCES secure data access to use algorithms and automated scoring techniques to predict the scores given by human raters to open-ended responses to 10 released NAEP mathematics assessment items. The results of this challenge (as well as those of the prior challenge using reading assessment items) are now available in a brief preprint.