To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K-12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created,…

This study investigated the mediated distributed leadership effects on student achievement through teacher job satisfaction and disciplinary climate in Turkish high schools. We employed school-, teacher-, and student-level datasets drawn from the 2018 PISA and TALIS datasets and performed a multilevel structural equation model (MSEM). The results…

Joseph P. McDonald reports findings from a study of nine poverty-impacted schools in New York City striving to more effectively use student performance data in teaching. The study was one of 13 studies of data use at the classroom level across the United States funded by the Spencer Foundation -- an effort intended to fill a serious gap in…

A strong, well-aligned data system allows State CTE [Career Technical Education] Directors and other state leaders to answer critical questions about the quality of their CTE programs and whether learners are participating and succeeding equitably. But today's state data systems are not meeting the need for data-informed decision making.…

Drawing on ethnographic research from a small urban high school serving predominantly low-income students in a large northeastern city, this case explores how a school leader seeks to improve the school's graduation rates by analyzing student data. It asks readers to consider the overall organization of the meeting, the role of the principal, the…

Recent research has demonstrated that elementary school leaders, under pressure to meet benchmarks set by state and federal governments, have begun "staffing to the test," moving to tested grades and subjects teachers whose previous students made substantive learning gains. This is particularly true in lower-performing schools or schools…

This article addresses the role of National Consortium for Secondary STEM Schools in the process of data-informed decision-making for both improving and addressing achievement gaps in participatory specialized STEM high schools.

Participatory sensing is a data collection method in which communities of people collect and share data to investigate large-scale processes. These data have many features often associated with the big data paradigm: they are rich and multivariate, include non-numeric data, and are collected as determined by an algorithm rather than by traditional…

With the expansion of computer science (CS) education, CS teachers in K-12 schools should be cognizant of student misconceptions and be prepared to help students establish accurate understanding of computer science and programming. This exploratory design-based research (DBR) study implemented a data-driven approach to identify secondary school…

Although much has been written about the potential benefits of effective data use in schools, considerably less attention has been paid to how schools make sense of the data generated from performance-based accountability measures. This article explores schools' usage of state test data, the intensity of data use, and the perceived utility of…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…

The College Readiness Indicator Systems (CRIS) initiative was developed in response to a troubling pattern: More students than ever are enrolling in college after high school, but many of them are not college ready, as evidenced by persistently low rates of college completion. The sense of urgency to close the gap between college eligibility and…

Purpose: When school leaders advance strategic plans focused on improving educational equity through data-driven decision making, how do policies-as-practiced unfold in the daily work of science teachers? The paper aims to discuss this issue. Design/methodology/approach: This ethnographic study examines how data-centric accountability and…

This article examines school-level responses to subgroup accountability pressure through an ethnographic case study of a school cited for failing to make adequate yearly progress for student subgroups. Concerns about the calculations and measures used to derive the citation and reservations about acting on accountability data delegitimized the…

Despite a growing body of research on data use in education, there has been relatively little focus on the role of students. This article begins to fill this gap by exploring teacher and administrator reports on engaging students in data use at six middle schools. Even though teachers expressed a belief that involving students in data use would…