Student participation in summer programming can be an effective way to address students' academic and developmental needs. When well implemented and well attended, summer enrichment programs, academic programs, and employment programs have demonstrated positive outcomes for youth in areas related to program content, including academic achievement…

As federal funding for summer learning as a pandemic recovery strategy phases out, state governments face decisions about their future role in supporting students' access to quality summer learning opportunities. This brief is based on the full report, "How States Are Expanding Quality Summer Learning Opportunities," and summarizes…

Climate change is one of the socio-environmental problems with the greatest complexity and media impact in the world. However, difficulties have been observed in its understanding. In this study, we worked on this social problem in the classroom through argumentation, from the evaluation of different statements made about the causes and…

High-quality state early intervention (IDEA Part C) data systems enable state staff to use data to improve their programs and results for children and families. The 2021 State of the States Survey data indicate that most early intervention (EI) programs had state data systems with essential child-level data elements, including child outcomes. In…

How can we prepare students for a world where data-driven decision-making shapes nearly every aspect of life? "Data Minds: How Today's Teachers Can Prepare Students for Tomorrow's World" helps K-8 educators infuse data literacy into everyday lessons across disciplines, without overwhelming existing curricula. Data literacy is an ability…

Objective: Campus sexual misconduct causes adverse physical, mental, behavioral, reproductive, and financial consequences. Informing prevention efforts at federal, state, and institution levels requires valid data. We assessed the appropriateness of Clery Act Campus Crime Statistics data for evaluating campus sexual misconduct. Participants: We…

Many students in the upper elementary grades and beyond uniquely struggle with reading comprehension, necessitating explicit instruction and remediation in this area. This U.S. study used data-based decision-making (DBDM), a research-based systematic approach to student data collection and analysis, to intensify the evidence-based Strategies for…

This case study examines how one school district in California scaled a structured, data-driven approach to teacher collaboration to improve instruction and student outcomes districtwide. Over the last 8 years, Chino Valley Unified School District (CVUSD) has implemented the Professional Learning Community (PLC) at Work model across all schools in…

The purpose of this report, which was commissioned by the Department for Education (DfE) in September 2023, is to set out options for making use of graduate earnings data to support the Office for Students' (OfS's) regulation of the higher education sector. Our aim is a measure of graduates' earnings outcomes that would be as informative as…

Within higher education, there is campus-wide discourse increasingly calling for preparing graduates for a globalized world, internationalizing the curriculum, and building international partnerships. Yet, some of the departments -- notably language programs -- are absent in the discussion regarding solutions and allocated funds (Tardy, 2015;…

The aim of this paper is to categorize and describe different types of learners in massive open online courses (MOOCs) by means of a subgroup discovery (SD) approach based on MapReduce. The proposed SD approach, which is an extension of the well-known FP-Growth algorithm, considers emerging parallel methodologies like MapReduce to be able to cope…

The COVID-19 pandemic constrained higher education institutions to switch to online teaching, which led to major changes in students' learning behavior, affecting their overall performance. Thus, students' academic performance needs to be meticulously monitored to help institutions identify students at risk of academic failure, preventing them…

Purpose: Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such…

Due to the unprecedented growth in available data collected by e-learning platforms, including platforms used by massive open online course (MOOC) providers, important opportunities arise to structurally use these data for decision making and improvement of the educational offering. Student retention is a strategic task that can be supported by…

Digitally-based assessments create opportunities for collecting moment to moment information about how students are responding to assessment items. This information, called log or process data, has long been regarded as a vast and valuable source of data about student performance. Despite repeated assurances of its vastness and value, process data…