Computer-Based International Large-Scale Assessments: Concepts, Methodologies and Quality Assurance Procedures

This edited volume provides a comprehensive overview of the technology-driven innovations that have transformed National and International Large-Scale Assessments over the past decade, along with the research and considerations that have accompanied these changes. It documents the groundwork for ongoing innovations and explores future directions as these assessments continue to evolve. While the impact of technology on education and assessments is difficult to predict, best practices and emerging principles for transitioning from paper-based to digital formats can be described. The volume offers guidelines and examples from experts who have transitioned assessments like PISA, PIAAC, TIMSS, PIRLS, and NAEP into the digital era. It also highlights research on digital-based assessments, showcasing new insights from log file and process data, as well as innovative domains.

Dr. Lale Khorramdel is the Research Director for Digital Assessments at the TIMSS & PIRLS International Study Center, Boston College, USA. She specializes in psychometrics, applied statistics, and international large-scale assessment methodologies, leading digital assessment innovations, and research on test-taking behavior and process data. Previously at ETS, she worked on PISA and PIAAC.

Dr. Matthias von Davier is the J. Donald Monan, S.J., University Professor in Education and Executive Director of the TIMSS & PIRLS International Study Center at Boston College, USA. He specializes in psychometric models for complex data, diagnostic methods, and large-scale educational surveys. His research spans testing, skill assessments, literacy surveys, and computational statistics.

Dr. Kentaro Yamamoto, former deputy director for global assessments and principal researcher at ETS, served as technical advisor for the OECD and US Dept. of Education. He designed and analyzed NAEP, NALS, TIMMS, PISA, IALS, ALL, and PIAAC, introduced computer-based and adaptive testing, and developed hybrid models for diagnostic testing and IRT scaling in these programs.