Motion remains a significant technical hurdle in fMRI studies of young children. Our aim was to develop a straightforward and effective method for obtaining and preprocessing resting state data from a high-motion pediatric cohort. This approach combines real-time monitoring of head motion with a preprocessing pipeline that uses volume censoring…

There are multiple levels of processing relevant to reading that vary in their visual, sublexical, and lexical orthographic processing demands. Segregating distinct cortical sources for each of these levels has been challenging in EEG studies of early readers. To address this challenge, we applied recent advances in analyzing high-density EEG…

Wireless electroencephalography (EEG) devices allow for recordings in contexts outside the laboratory. However, many details must be considered for their use. In this research, using a case study with a group of third-grade primary school students, we aim to show some of the potentialities and limitations of research with these devices in…

Purpose: Many studies have found a correlation between overall usage rates of nonmainstream forms and reading scores, but less is known about which dialect differences are most predictive. Here, we consider different methods of characterizing African American English use from existing assessments and examine which methods best predict literacy…

Standardized testing is generally regarded in schools today as the primary way to measure and determine student achievement. Student performance determines the degree to which schools, teachers, and students are identified as being successful. The problem being investigated by this study was that all students are spending too much classroom…

This study aimed to address the need for a comprehensive assessment tool to evaluate the mathematical abilities of first-grade students through cognitive diagnostic assessment (CDA). The primary challenge involved in this endeavor was to delineate the specific cognitive skills and sub-skills pertinent to first-grade mathematics (FG-M) and to…

Various stakeholders, such as policymakers and educators, require diagnostic feedback and actionable test results. One particular context in which fine-grained test results are of utmost importance is English language proficiency (ELP) assessments as they are used for critical decisions for students. Diagnostic classification models (DCMs) afford…

Star Math (SM) is a popular computer adaptive test (CAT) schools use to screen students for academic risk. Despite its popularity, few independent investigations of its diagnostic accuracy have been conducted. We evaluated the diagnostic accuracy of SM based upon vendor provided cut-scores (25th and 40th percentiles nationally) in predicting…

We report on an innovative computer-adaptive assessment, the Comprehensive Research-based Early Math Ability Test (CREMAT), using the case of 1st- and 2nd-graders' understanding of geometric measurement. CREMAT was developed with multiple aims in mind, including: (1) be administered with a reasonable number of items, (2) identify the level(s) of…

The purpose of this non-experimental quantitative study was to examine the impact of school closure on beginning-of-the-year readiness for third-grade students in a rural Northeastern North Carolina school district. The research compared third-grade students' beginning-of-the-year reading readiness during the 2019-2020 school year to third-grade…

Developing tools to identify students' misconceptions about basic biology concepts is necessary. Therefore, a two-tier diagnostic test was developed to determine such misconceptions in primary school (3rd-4th Grade) students. The test content includes two-tiered multiple-choice questions addressing common misconceptions found in the literature on…

In this paper, we share the results of the piloting of national diagnostic assessments for strategic calculation with Grade 3 learners in South Africa. The diagnostic assessment pilot intervention was focused on promoting strategic use of calculation strategies and aimed to move learners on from the concrete one-to-one counting methods that…

(1) Background: The response to intervention (RtI) model makes possible the early detection of reading problems and early intervention for students at risk. The purpose of this study is to analyze the effective measures that identify struggling readers and the most effective practices of the RtI model in reading in Primary Education. (2) Method: A…

Public schools have a long-established practice of conducting screening assessment of students as they enter kindergarten. The purpose of this study, conducted in spring 2021 by the Maine Education Policy Research Institute at the request of the Joint Standing Committee on Education and Cultural Affairs, is to gain a current list of the assessment…

The present study aimed to investigate the effects of the EASY Minds program on working memory and selective attention of a group of Iranian students with maths learning disabilities. The study had a quasi-experimental research design with pre-test, post-test, and follow-up tests. Forty students with maths learning disabilities were randomly…