The aim of this case study was to reconcile Kazakhstani educators' self-assessed readiness with actual outcomes, as highlighted by the 2018 Programme for International Student Assessment results in Western Kazakhstan. An online questionnaire survey of 340 prospective primary school teachers and 1200 in-service teachers and a complementary document…

There has been a growing research interest in the identification and management of disengaged test taking, which poses a validity threat that is particularly prevalent with low-stakes tests. This study investigated effort-moderated (E-M) scoring, in which item responses classified as rapid guesses are identified and excluded from scoring. Using…

Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…

This erudition investigated the efficacy of two methods of instruction: Visual prompt instruction (VPTM) and Conventional Science instruction (CSTM) on the effects of homogeneous and heterogeneous ability levels' class instruction on learning outcomes in Basic Technology. The sample comprises 60 learners in junior secondary school classes randomly…

Bayesian Networks (BNs) are probabilistic graphical statistical models that have been widely used in many fields over the last decade. This method, which can also be used for educational data mining (EDM) purposes, is a fairly new method in education literature. This study models students' science success using the BN approach. Science is one of…

Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian…

Education administrators expect teachers to participate in professional learning. Traditional professional learning for teachers comes in workshops, professional learning communities, meetings, conferences, self-guided professional development, coaching, and courses (Bill & Melinda Gates Foundation, 2014). Teachers are dissatisfied with this…

Research indicates that the achievement gap in reading between typical and dyslexic readers is already evident in first grade and persists through adolescence. However, it is not known whether this reading gap persists into adult life. In this report we use an epidemiologic sample of 312 children (typical readers = 246; dyslexic readers = 66),…

The purpose of this study was to examine the relationship between academic achievement and attendance. Reading proficiency is foundational to overall academic success. In this study, reading proficiency served as the operational definition for the level of student academic success. Out-of-school suspension is a disciplinary consequence as a result…

This study explored the impact of the 95 Phonics Core Program® (95 PCP) on student literacy achievement across third graders who started the school year at different ability levels. The primary focus of this report was to investigate the relationship between changes in phonics scores with the beginning and end-of-year i-Ready® assessments and…

This paper explores how the OECD acts a broker of knowledge-making in the development of PISA, the most widely known International Large-Scale Assessment. Drawing on the work of Bandola-Gill, Grek, and Tichenor (2022) and analysing empirical data gathered through interviews with OECD staff and PISA contractors and experts, the paper analyses how…

This qualitative multi-site case study explores the self-identified traits of four Philadelphia schools that demonstrate growth in grade four proficiency on the Math Pennsylvania System of State Assessment (PSSA). Obtained proficiency/advanced scores on the PSSA show a drop from third to fourth grade cohorts during 2017, 2018, and 2019. In…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

This article explores the limitations of traditional maximum performance tests in psychological assessments within educational settings, highlighting the need for efficiency assessments to better understand students' real-world capabilities. While maximum performance tests like IQ and achievement tests reveal peak abilities under optimal…

The increasing concerns of the impact of the Programmes for International Student Assessment (PISA) on education policymaking along with its global reach call for the need of evaluating PISA's impact on student learning. However, most extant studies focus on arguing its impact at the policy level, without taking a further look into it at the local…