Feedback on how students progress through completing subgoals can improve students' learning and motivation in programming. Detecting subgoal completion is a challenging task, and most learning environments do so either with "expert-authored" models or with "data-driven" models. Both models have advantages that are…

The purpose of this quantitative study was to provide school district leaders and policymakers information of the impact grade configuration had on academic performance using math and ELA ILEARN scores over a three-year period. The study included data from 585 schools that were classified into four groups: Elementary Setting, Intermediate Setting,…

In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…

For assessments that use different forms in different administrations, equating methods are applied to ensure comparability of scores over time. Ideally, a score scale is well maintained throughout the life of a testing program. In reality, instability of a score scale can result from a variety of causes, some are expected while others may be…

What is the link between neuroscience and education? Can one measure the phenomenon of learning and make predictions by charting student performance? How does the knowledge of neuroscience inform educators to objectively and effectively meet the unique needs of all learners and address discrepancies in subsets of student population? Questions like…

This quantitative study investigated the relationship between institutional control and NCLEX first-time pass rates during 2017-2021 for BSN, ADN, and LVN programs in the United States while controlling for school and program level characteristics. The study included five years of data gathered from nursing regulatory agencies and the Integrated…

Minimal research has been conducted regarding success factors of high school students in rural districts. Through archival data retrieval, student interviews, and observations, this mixed methods study sought to identify success factors of juniors and seniors enrolled at one rural public school in South Texas. The impact of support systems, the…

The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…

Inappropriate treatment of missing data may introduce bias into the value-added estimation. We consider a commonly used value-added model (VAM), which includes the past student test score as a covariate. We formulate a joint model of student achievement and missing data, in which the probability of observing a test score depends on observing the…

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…

This report describes ACT test results for AISD's graduating seniors, Class of 2018, who took the ACT any time during high school.

This report describes SAT test results for AISD's graduating seniors, Class of 2018, who took the SAT any time during high school.

The National Reference Test (NRT) is uniquely placed, as a Key Stage 4 assessment which directly measures performance over time, to contribute to the evidence on the impact disruption due to the COVID-19 pandemic. The study in the main report provides additional analysis of the NRT 2020 and 2021 data to explore whether different areas of the…

The purpose of this quantitative predictive analysis study was to identity what student characteristics such as subgroups' gender, ELL, race/ethnicity, more specifically Black and Latino, are important in predicting student achievement in two Priority schools in their final year of Regional Achievement Center (RAC) delivery and support to these…

This Quick Facts document provides a snapshot of facts about Alabama school systems and public schools; Alabama students; Alabama educators; National School Lunch Program lunches served; Alabama school buses; Alabama gifted students; total personnel; average daily attendance; graduation rate; average ACT score; AMSTI schools; ACCESS virtual…