How, and to what extent, are advancement professionals integrating artificial intelligence (AI) into their work? What do they view as the primary opportunities presented by this new technology, and what are their concerns regarding its use? To answer these questions, the Council for Advancement and Support of Education (CASE) and GiveCampus…

The purpose of this Executive Summary and the full report is to summarize the results and technical analyses performed with the Spring 2024 "Artificial Intelligence in Education: West Virginia Stakeholder Survey", which was used to collect stakeholder feedback related to perceptions of using artificial intelligence (AI) in education. The…

Propensity score methods account for selection bias in observational studies. However, the consistency of the propensity score estimators strongly depends on a correct specification of the propensity score model. Logistic regression and, with increasing popularity, machine learning tools are used to estimate propensity scores. We introduce a…

This report examines how enrolled undergraduate students and parents of undergraduates view higher education and how they pay for it. The report considers education funding sources--from parent and student income and savings to scholarships, grants, and borrowed funds--and evaluates trends in payment strategies over time. This 18th edition builds…

In today's world, technology is ubiquitous and rapidly evolving. As it evolves and new challenges emerge, educators will be tasked with teaching students about healthy and responsible management of their online lives. From late December 2023 to early January 2024, the EdWeek Research Center conducted a survey of teachers, school leaders, and…

In a trend buoyed by new technology purchased to accommodate the remote learning necessitated by the coronavirus pandemic, educators are increasingly using devices and apps to teach core subjects, including math. This report examines perceptions and experiences of teachers, principals, and district leaders around the use of such tools for math…

New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…

Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…

The annual Application Trends Survey from the Graduate Management Admission Council (GMAC) provides the world's graduate business schools with data and insights to understand current trends in applications sent to graduate management education (GME) programs. This year's report begins with information from new survey questions about artificial…

Head Start is a national program that helps young children from families with low income get ready to succeed in school. The Head Start Family and Child Experiences Survey (FACES) is the premier source of national information about Head Start programs and participants. For more than two decades, FACES has been advancing the knowledge base about…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

For more than 15 years, the GMAC Prospective Students Survey (PSS) has provided the world's graduate business schools with critical insights into the decision-making processes of people actively applying to, considering, or researching graduate management education (GME) programs. Its questions--covering a diverse range of topics that impact…

This report, the product of a collaboration between the Organisation for Economic Co-operation and Development (OECD) and the UK-based charity, Education and Employers, offers a glimpse of how children see their future, and the forces that, if properly understood and harnessed, will drive them forward to realise their dreams. Through concerted…

Purpose: This study investigated within-language and between-language associations between phonological memory, vocabulary, and grammar in French-English (n = 43) and Spanish-English (n = 25) bilingual children at 30, 36, and 48 months. It was predicted that phonological memory would display both within-language and between-language relations to…

This paper uses meta-analytic techniques to estimate the separate effects of the starting age, program duration, and persistence of impacts of early childhood education programs on children's cognitive and achievement outcomes. It concentrates on studies published before the wide scale penetration of state-pre-K programs. Specifically, data are…