Advances in information and communication technologies have contributed to the increasing use of virtual learning environments as support tools in teaching and learning processes. Virtual platforms generate a large volume of educational data, and the analysis of this data allows useful information discoveries to improve learning and assist…

Purpose: The purpose of this review article was to (a) scope the literature related to coaching caregivers of children with autism to provide an overview of current practices for assessment and intervention conducted via telepractice in collaboration with caregivers and (b) examine commonly reported challenges related to telepractice and potential…

Treatment fidelity data are critical to evaluate intervention effectiveness, yet there are only general guidelines regarding treatment fidelity measurement. Initial investigations have found treatment fidelity data collected via direct observation to be more reliable than data collected via permanent product or self-report. However, the comparison…

Student evaluations of teaching (SETs) are a ubiquitous feature of higher education. However, scholars have presented numerous challenges to the accuracy, validity, reliability and objectivity of SETs as a measure of teaching effectiveness. Given the potential for bias, the use of SETs in professional review may constitute a form of institutional…

The world has experienced rapid changes, leading to pressing issues such as environmental degradation, social inequality, and resource depletion. As a transdisciplinary field, evaluation has emerged as a crucial tool in addressing these challenges and promoting systemic change. However, concerns have been raised regarding the field's capacity to…

Technical documentation for educational tests focuses primarily on properties of individual scores at single points in time. Reliability, standard errors of measurement, item parameter estimates, fit statistics, and linking constants are standard technical features that external stakeholders use to evaluate items and individual scale scores.…

Bridge International Academies, the largest network of elementary schools in the developing world operates both low-cost private schools, and public-private partnership schools. More than 800,000 students are enrolled in 2,026 schools in five countries. Bridge tries lots of different ideas and initiatives, many of which are backed up by research…

By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection,…

This article examines factors that could have influenced whether evaluations of U.S. government--funded foreign assistance programs completed in 2015 had considered unintended consequences. Logit regression models indicate that the odds of considering unintended consequences were increased when all or most of seven standard data collection methods…

Purpose: When we speak, we gesture, and indeed, persons with aphasia gesture more frequently. The reason(s) for this is still being investigated, spurring an increase in the number of studies of gesture in persons with aphasia. As the number of studies increases, so too does the need for a shared set of best practices for gesture research in…

The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…

With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…

With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…

We describe a computer-assisted program for conducting well-body assessments of children with neurodevelopmental disabilities attending a private special education school. Classroom instructors completed daily assessments to detect the presence of bodily injuries and other skin trauma, determine the need for medical treatment, and monitor healing…

Curriculum evaluation is a process carried out to decide the effectiveness of training programs. In this process, the strengths and aspects of the training programs that are open to improvement are emphasized. Therefore, curriculum evaluation studies are an important part of curriculum development. In this respect, it is important to consider the…