The school accountability system in the Dominican Republic (DR) involves the use of several national assessments, the reporting of such data, and the training of principals on how to use such data as part of school improvement efforts. While this type of indicator accountability system does not include specific consequences, there is still…

This paper explores school principals' and teachers' views of the Italian teachers' appraisal system and related indicators. In particular, the research aimed at examining the opinions of school principals and teachers regarding the domains to be considered for teacher appraisal purposes. An investigation involving 37 school principals and 868 in…

This paper examines preservice teachers' experiences when they engage with tasks using dynamic technological applets to analyse data pertaining to societal issues. We examine two vignettes that discuss preservice teachers' interaction with dynamic visual representations of data related to plastic pollution and food supply. We analyse this data…

Test writing is a fundamental component of teaching. With increasing pressure to teach larger groups of students, conduct formal assessment of learning outcomes, and offer online and hybrid classes, there is a need for alternatives to constructed response problem-solving test questions. We believe that appropriate use of multiple-choice (MC)…

Rising poverty in suburbs has led to increased interest in how well suburban safety nets function. Apart from public assistance programs, community-based nonprofit health and human service organizations play a central role in suburban efforts to address racial and economic inequalities. Understanding how nonprofit services are distributed across…

Flame Emission Spectroscopy (FES) is a powerful analytical technique widely used for identifying and quantifying elements in various samples. In this laboratory experiment, undergraduate students were introduced to FES and its significance in analytical chemistry. The experiment aimed to provide students with hands-on experience in constructing…

One way to achieve equitable design is to directly include users who will be impacted the most in the planning and facilitation of a project. Common financial, logistical, and/or temporal constraints reveal that direct inclusion of the people most impacted is not always possible. If this barrier arises, one promising alternative is the creation…

Across the country, district-community teams are tackling pressing and complex educational challenges with Inclusive Innovation, an education R&D model that starts with centering the needs of those most impacted by these challenges. This paper shares the stories, solutions, outcomes, and learnings from years of deep collaboration in the words…

As countries make continued investments in early childhood care and education (ECCE) systems, data and measurement play a critical role in outlining strengths and areas for improvement. To promote data-driven decision-making across all levels of early childhood systems, measurement must be valid, reliable, and feasible, especially when used at…

We tested 10 data-based strategies to better identify student homelessness in Camden City School District, which has a student body from minoritized backgrounds. We operationalized strategies through a research-practice partnership, following the federal homelessness definition. Data span 5 years (2014-15 through 2018-19), including integrated…

Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

Purpose: This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes. Study utilizes PBL implemented in an undergraduate Statistics and Operations Research course for techno-management students at a private university in India.…

This study builds on the long-identified gap between the marketing industry and marketing academia. The research investigates the relationship between resource-based factors and marketing faculty's intention to use marketing analytics technology. The theoretical framework for this study is the concerns-based adoption model (CBAM). Resource-based…

The European Education Area aims to support Member States' efforts in enhancing the educational attainment of younger generations. In this policy context, there is a need for an objective tool to assess the educational outcomes of EU countries. The present report addresses this need by pursuing two objectives: (1) providing a comprehensive method…

Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…