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Session Type: Poster Session
This session highlights studies that use large-scale assessment data to enhance our understanding of student learning, measurement practices, and educational opportunities across various national and international education systems. Together, these studies showcase the methodological and practical potential of large-scale assessments to support data-driven educational improvement on a global scale.
Academic Transitions: Analyzing STAAR Performance of Emergent Bilingual Students from 4th to 6th Grade - Russen R Vela, South Middle School; Lori Kupczynski, Texas A&M University - Kingsville; Kelly S. Hall, Texas A&M University - Kingsville; Daniella G. Varela, Texas A&M University - Kingsville
Analyzing PIRLS 2021 Türkiye Data Using Cognitive Diagnostic Modeling - Sedat Sen, Harran University; Nihal Burcin Bircan, Turkish National Ministry of Education
Centralized Curricula Content Coverage and Student Achievement in Mathematics and Science Education: Evidence from TIMSS - Marlen Holtmann, IEA Data Processing and Research Center; Alec Kennedy, IEA Hamburg; Rolf Strietholt, IEA Hamburg
Home Learning Environments Bolster Students’ Academic Resilience during the COVID-19 Pandemic: Evidence from PIRLS - Yufang Ruan, Zhejiang University; Alec Kennedy, IEA Hamburg; Rolf Strietholt, IEA Hamburg
Identification of Careless Responses and Their Patterns in Low-Stake Assessment - Meereem Kim, Korea Institute for Curriculum and Evaluation; Yoonsun Jang, Daegu National University of Education
Implications of Socioeconomic Status Modeling in International Large-Scale Assessments - Andres Fernandez-Vergara, University of California - Los Angeles
Overrepresentation of Female Teachers in Secondary Education and Gender Achievement Gaps in PISA 2022 - Hans Luyten, Universiteit Twente