Developing effective assessments is a critical component of quality instruction. Assessments are effective when they are well-aligned with the learning outcomes, can confirm that all intended learning outcomes are attained, and their obtained grades are accurately reflecting the level of student achievement. Developing effective assessments is not…

Like in many Global South countries, the vocational education and training system in Kazakhstan has some weaknesses, including low-competent educators poorly applying digital technologies in their instructional repertoire, which highlights the need for motivating teachers towards incorporating technologies representing students' everyday life in…

During the COVID-19 pandemic, immigrant and linguistically diverse families have both borne the brunt of America's job losses and are overrepresented in professions that are considered essential to the country's response and recovery. Children in these households have experienced increased economic and food insecurity, instability in their child…

Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for…

Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…

Around 600 schools have used the free, research-based Teaching, School and Leadership Practices (TSP) survey since it was first offered in 2017. This brief report is based on interviews with 10 principals who've used TSP three years in a row. The report shows the principals find it informs their own development and appraisal, identifies priorities…

For the second consecutive school year, Ohio's students and adults faced unique and challenging circumstances because of the ongoing global pandemic. The information in this report card reflects these teaching and learning conditions and should be reviewed while considering the resulting disruptions that, in many cases, affected students'…

Over the last two years the Midwestern Higher Education Compact (MHEC) staff conducted a thorough program review to determine the current relevance and value of the Midwest Student Exchange Program (MSEP). This culminated in the report "Student Reciprocity Programs and MSEP in the 21st Century" (ED627191) which utilized historical MHEC…

This explanatory case study investigated why educators (teachers, administrators and support teachers) in a northeast charter school found it difficult to implement a data-driven decision-making (D3M) process. To comprehend where the breakdown in the process occurred, the researcher examined the cultural, technological and political barriers that…

Credit recovery in public education has become an intervention used widely in the United States to address the rising number of students who are not meeting with success in the completion of required courses in the traditional education setting. With the passing of the Every Student Succeeds Act in 2015, public schools sought a method to motivate…

The Exploring Engagement Fund provides risk capital for arts nonprofits to experiment with innovative ideas about how to engage diverse Californians. In order to understand the variety of Californians engaged in arts experiences, this guide is intended to support current and future Fund grantees in collecting participant information. Exploring…

Purpose: We aimed to compare the speech of parents and examiners as they elicited language samples from minimally and low-verbal (MLV) children and adolescents with autism spectrum disorder (ASD), while following the same semi-structured elicitation protocol, Eliciting Language Samples for Analysis-Adolescents (ELSA-A). We also compared the speech…

A prominent goal of colleges and universities today is to enact data-driven teaching and learning. Faculty clearly play a key role, and yet they tend to have limited time, a lack of training in assessment or education research, and few incentives for engaging in this work. We describe a framework designed to address the practical and cultural…

The growing use of machine learning for the data-driven study of social issues and the implementation of data-driven decision processes has required researchers to re-examine the often implicit assumption that datadriven models are neutral and free of biases. The careful examination of machine-learned models has identified examples of how existing…

This quantitative research analyzes the impact of the Web Application for the Educational Process on Compound Interest (WAEPCI) considering the machine learning and data science. The sample is composed of 46 students who studied the Financial Mathematics course in a Mexican university during the 2017 school year. WAEPCI presents the calculation of…