This research investigates the Models of eighth-grade students in Turkey pertaining to magnets and magnetic interactions, while also examining the consistency of these models within themselves. Additionally, a comparative assessment is conducted by comparing the current data with data collected from eighth-grade students a decade earlier. The…

Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…

As students' reading proficiency gaps persist across the United States, educational leaders have turned to alternative methods to foster effective instructional literacy practices. One approach to combat this dilemma is the implementation of scripted reading programs. The purpose of the study was to investigate the impact of scripted reading…

Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

This quantitative causal-comparative study investigated the growth performance scores of English learners in grades three through five in reading, mathematics, and science in four English language educational programs: English as Second Language (ESL), Transitional Bilingual Education (TBE), Dual-Language Immersion (DLI), and No Services. I used…

The inclusion of engineering in the Next Generation Science Standards (NGSS) as a key component of K-12 science learning has provided both opportunities and challenges for elementary teachers. One challenge is integrating the design thinking processes that undergird engineering with core science concepts and current issues facing scientists and…

The paper presents results from the evaluation of the Teach for Bulgaria (TFB) program, which is part of the Teach for All global network. TFB activities have relevance for a variety of fast-track pathways to the teaching profession. The evaluation is based on a quasi-experimental assessment of teacher performance through student value-added…

The purpose of this study was to assess the effectiveness of Uncommon Schools in a turnaround setting. Uncommon was awarded a 2016 grant from the U.S. Department of Education's Investing in Innovation Fund (i3) to support TurnNJ, a project intended to support Uncommon's whole-school turnaround efforts in Camden and Newark, New Jersey. The study…

Although extensive research exists on the use of curriculum-based measures for progress monitoring, little is known about using computer adaptive tests (CATs) for progress-monitoring purposes. The purpose of this study was to evaluate the impact of the frequency of data collection on individual and group growth estimates using a CAT. Data were…

This research study explored the relationship that exists between National Board certified teachers (NBCTs) and the reading achievement of students in third through fifth grade in comparison to non-NBCTs as measured by EVAAS growth data. Additional research questions analyzed which elements contained in the five core propositions participants…

This paper researches students' and teacher trainees' personal experience of student-centred teaching during their education in grades 1-4 of primary school. The questionnaire comprised 45 statements and was completed by 403 primary school teacher trainees and 535 students (future teachers) at Faculties of Teacher Education in Croatia. The…

Drawing inferences about the extent to which student performance reflects instructional opportunities relies on the premise that the measure of student performance is reflective of instructional opportunities. An instructional sensitivity framework suggests that some assessments are more sensitive to detecting differences in instructional…

Interactive learning environments with body-centric technologies lie at the intersection of the design of embodied learning activities and multimodal learning analytics. Sensing technologies can generate large amounts of fine-grained data automatically captured from student movements. Researchers can use these fine-grained data to create a…

Background: Numerous studies have investigated the relationships between various student, home and contextual factors and reading achievement. However, the relationship between such factors and reading attitudes has been investigated far less, despite the fact that theoretical frameworks of large-scale assessments and school effectiveness research…

Classroom formative assessment (CFA) is considered to be a fundamental part of effective teaching, as it is presumed to enhance student performance. However, there is only limited empirical evidence to support this notion. In this effect study, a quasi-experiment was conducted to compare 2 conditions. In the treatment condition, 17 teachers…