R&D Hub

The National Council for Measurement in Education’s (NCME) Graduate Student Issues Committee (GSIC) and Educators of Measurement (EoM) Special Interest Group in Measurement in Education (SIGIMIE) are hosting The Lifecycle of an Internship, a webinar designed to give more insight on the education measurement internship process, from2 p.m. to 3 p.m. on November 13, 2024.

The 2024 Federal Committee on Statistical Methodology (FCSM) Research and Policy Conference will be held October 22–24, 2024, in Hyattsville, Maryland. This year’s theme, “The Relevance, Timeliness, and Integrity of Federal Statistics,” reflects the FCSM’s role in providing a forum for statisticians to discuss issues of statistical methodology as they relate to federal agencies and statistical programs. In this post, we provide an overview of upcoming presentations at the FCSM conference from NAEP researchers and NAEP Doctoral Internship Program alumni.

In September 2024, the NAEP Validity Studies (NVS) panel published a report titled Study of Changes in Public School Composition During the Pandemic and Their Relationship With NAEP Performance, co-authored by American Institutes for Research (AIR) researchers Martin Hooper, Rebecca Shipan, David Bamat, and George Bohrnstedt.

The 49th International Association for Educational Assessment (IAEA) Annual Conference will be held in Philadelphia in just a few days, on September 22–25, 2024. This year’s theme explores the growing interest in artificial intelligence by asking, “How Can AI Help Improve Educational Assessments?” In this post, we highlight upcoming IAEA presentations from NAEP researchers and NAEP Doctoral Student Internship Program alumni.

This week, the NAEP R&D Hub is able to offer yet another sneak peek at some upcoming research from experts in large-scale assessment. Authored by Ruhan Circi, a NAEP process data researcher from the American Institutes for Research, alongside Maggie Perkoff, one of our 2024 summer doctoral interns, this working paper was produced as part of the Summer 2024 NAEP Doctoral Student Internship Program AI focus area. The authors also wish to thank Bhashithe Abeysinghe for his review of the working paper. It presents insights from a literature review on using LLMs for automated scoring of constructed response items, briefly explores how advancements in LLMs can improve current scoring systems, and highlights the remaining challenges and areas for further research.