R&D Hub

Spotlighting Current NAEP Doctoral Interns: Adalin Ni, Maggie Perkoff, and Winnie Wilberforce

Published On Friday, July 26, 2024

The 2024 NAEP Doctoral Student Internship Program is now in its final weeks, so interns are hard at work applying all the technical skills and knowledge they’ve gained since the beginning of June to their collaborative projects. Get some insight on the program before it ends by checking out our interview with the remaining three 2024 cohort interns: Adalin Ni, Maggie Perkoff, and Winnie Wilberforce.

Spotlighting Current NAEP Doctoral Interns: Paulina Grekov and Dekyi Suolang

Published On Friday, July 12, 2024

With the 2024 NAEP Doctoral Student Internship Program well underway, our interns are now developing their technical skills and knowledge in the field of large-scale assessment by working collaboratively with NAEP experts on client-based projects. Recently, two more interns, Paulina Grekov and Dekyi Suolang, participated in our ongoing interviews to introduce the newest cohort to the NAEP R&D community.

Spotlighting Current NAEP Doctoral Interns: Naomi Duran and Saugat Pandey

Published On Friday, June 28, 2024

Summer is in full swing, and so is the 2024 NAEP Doctoral Student Internship! Our new interns are busy analyzing NAEP data alongside researchers from the National Center for Education Statistics and the American Institutes for Research. Naomi Duran and Saugat Pandey, two members of this newest intern cohort, have taken the time to answer a few questions and introduce themselves to the NAEP R&D community.

New Research Paper on Advances and Challenges in Evaluating LLM-Based Applications

Published On Friday, June 7, 2024

This month, we are excited to share the latest research from the NAEP R&D community, focusing on the evaluation of large language models (LLMs). “The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches” will be presented at the LLM4Eval workshop at the 2024 Association for Computer Machinery Special Interest Group on Information Retrieval (ACM SIGIR) conference on July 18, 2024. This paper from AIR researchers Bhashithe Abeysinghe and Ruhan Circi explores innovative approaches to evaluating custom AI applications, addressing a crucial barrier to faster progress in generative AI.

Interview With NAEP Doctoral Internship Program Alum: Mingqin Zhang

Published On Friday, May 24, 2024

This week, the NAEP R&D program had the opportunity to interview former NAEP doctoral intern Mingqin Zhang. Zhang presented at the National Council on Measurement in Education (NCME) annual meeting as part of a training session titled “Examining MIRT Models From a Graphical Perspective Using RShiny and Mathematica.” Zhang, now a research scientist at Amazon Web Services, joined the 2018 cohort of NAEP Doctoral Internship Program interns from the University of Iowa, College of Education’s Educational Measurement & Statistics program. We were glad to catch up with her after the conference and ask her some questions about her NAEP Doctoral Internship program experience as the program gets ready to welcome the newest cohort of interns.

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