Want to learn to how to analyze large-scale international data using R? Join Ting Zhang, Emmanuel Sikali, and Paul Bailey in Bologna, Italy on July 11 at the IMPS 2022 conference, where they will be conducting a course 10:00AM-5:30PM.

The 2022 AERA and NCME annual meetings will feature presentations, trainings, and demonstrations relevant to NAEP R&D efforts.

Modules on how to use the EdSurvey R package to analyze various NCES data have been added to NCES’s Distance Learning Dataset Training (DLDT) system. The DLDT is an interactive web tool that allows data users to learn about NCES data products and to appraise their usefulness for various purposes.

As discussed in the “NAEP R&D 2021 Year in Retrospect,” the EdSurvey program made big strides in 2021, including joining the official NAEP Database Products and the NAEP Data Companion and releasing updated packages with data from NHES, SOCCS, TIMSS 2019, OECD PISA 2018 Financial Literacy, and 2017 US PIACC. In 2022 and beyond, the EdSurvey program will continue to enhance usability and accessibility of NCES and international large-scale assessment data.

The National Assessment of Educational Progress (NAEP) began to transition to digitally based assessments (DBAs) in 2017. DBAs enable the collection of data on students’ interactions with the assessment. However, these data are not trivial to analyze, given their time-dependent nature, abundance, structural complexity, and inevitable errors in collection. For the full potential of process data to be realized, researchers must possess analytical skills that go beyond traditional statistical analysis. In the upcoming 2022 NCME conference, researchers from American Institutes for Research (AIR) , under the guidance of the National Center for Education Statistics (NCES), will conduct a training session using methods taken from business process mining and graph theory to advance the use of NAEP process data.