Gaining knowledge of what contextual factors may contribute to changes in student achievement across cycles of international large-scale assessments (ILSA), is important for educational policy and practice. Addressing this necessitates advanced methodology that utilizes the trend design of the ILSAs. The Trends in International Mathematics and…

Though recent advances in research on social class have contributed to our wider understanding of college students' academic and social outcomes, classism in academe remains underexplored across cultures, primarily due to a lack of instruments. The present study discussed the validation of the existing classism measure to assess Korean college…

One of the strongest predictors of future academic achievement is the early and informal math skills children begin their school studies. Because of this, it is essential to have proper tools for measuring the development of mathematical thinking at an early age to be able to intervene in a timelier, more effective way. The purpose of this…

The purpose of this study is to identify to what extent that the reading comprehension, question types, attitude toward science, test method, and subject matter knowledge predict the PISA scientific literacy scores of the students. The study uses the method of correlational research, which is a type of quantitative research method. We reached out…

Vocational interest inventories play an important role in supporting adolescents and young adults in their vocational choice. However, existing verbal and pictorial questionnaires have limitations regarding the complexity, abstraction level, and ambiguity of the item material. The presented research attempts to overcome these limitations by…

In public school classrooms across the United States, approximately one in ten students is learning English as a second language. These students, often referred to as English language learners (ELLs), comprise one of the fastest growing demographic groups in the United States, with approximately 5 million ELLs enrolled in public schools across the…

This study aimed to contribute to the literature by examining the impacts of using GeoGebra on students' perceptions and achievement in learning geometric transformations. This study contributes to mathematics education and learning environments supported by GeoGebra. This study reviewed the literature on social constructivist learning theory and…

School finance formulas vary from state to state, impacting school district educational outcomes. Rural school districts are especially affected due to inherent challenges in producing high student achievement scores. This study examined whether variables including socioeconomic status and per-pupil local tax level impacted student achievement…

This paper furthers the understanding of literacy being developed through this Special Issue by bringing a pluralistic, complex account of literacy into conversation with assessment. The rise of neoliberalism in education--and its related focus on standards, accountability, and efficiency--has seen literacy positioned as the "core…

This study looks at a group of Hispanic English Learners from a region in deep South Texas that is situated along the U.S.-Mexico border, and how their sense of belonging, acculturation, and their perception of the teacher-student relationship impacts academic achievement on the STAAR End-of-Course state assessments for English I and English II.…

Many states use high-school exit examinations to assess students' career and college readiness in core subjects. We find meaningful consequences of barely passing the mathematics examination in Massachusetts, as opposed to just failing it. However, these impacts operate at different educational attainment margins for low-income and higher-income…

Many states use high-school exit examinations to assess students' career and college readiness in core subjects. We find meaningful consequences of barely passing the mathematics examination in Massachusetts, as opposed to just failing it. However, these impacts operate at different educational attainment margins for low-income and higher-income…

In order to detect a wide range of aberrant behaviors, it can be useful to incorporate information beyond the dichotomous item scores. In this paper, we extend the l[subscript z] and l*[subscript z] person-fit statistics so that unusual behavior in item scores and unusual behavior in item distractors can be used as indicators of aberrance. Through…

This longitudinal, multi-semester study investigates the Integrated Performance Assessment (IPA) in university-level communicative Spanish classrooms to find out how instructor feedback affects student performance on IPA assessments, if at all, and in what ways do teachers and students use feedback from the IPAs in their teaching and learning, if…

Social desirability bias (SDB) has been a major concern in educational and psychological assessments when measuring latent variables because it has the potential to introduce measurement error and bias in assessments. Person-fit indices can detect bias in the form of misfitted response vectors. The objective of this study was to compare the…