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…

Learning analytics (LA) provides insight into student performance and progress, allowing for targeted interventions and support to improve the student learning experience. Uses of LA are diverse, including measuring student engagement, retention, progression, student well-being and curriculum development. This article provides perspectives on the…

Although research into the relationship between quantitative literacy (QL) and news reporting is sparse, the consensus among researchers is that journalists tend not to place QL very highly among their professional values and that journalism suffers as a consequence. This paper is an attempt to provide concrete examples of the ways in which news…

Datafied digital systems have permeated higher education over the past decade. Registration, grading, financial operations, and often teaching all take place through digital platforms that extract and collate data about students as well as faculty and staff. At the level of these data system processes, academics may not have the knowledge or…

This study aimed to investigate how data are used to inform instructional leadership practices in three Kuwaiti public schools, in addition to the factors that impact building data-use capacity. This study conducted three qualitative case studies in high-performing public schools. The findings reveal that data usage in the Kuwaiti schools…

This chapter explores how the Wisconsin Technical College System Student Success Center and the Success Center for Ohio Community Colleges provided support that encouraged data-informed decision-making among 2-year college stakeholders. A case study for each Center is presented to illustrate data-related strategies and lessons learned. The…

Recent advances in eye-tracking technology afford the possibility to collect rich data on attentional focus in a wide variety of settings outside the lab. However, apart from anecdotal reports, it is not clear how to maximize the validity of these data and prevent data loss from tracking failures. Particularly helpful in developing these…

The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…

This qualitative case study examines how board members make sense of federal accountability policies and how their sensemaking shapes their use of assessment data as a policy instrument. Deviating from previous work on practitioner sensemaking, the participants' interpretations of assessments did not align with their ensuing use of the data.…

The purpose of this study was to examine how educators working within a multi-tiered system of supports (MTSS) framework make sense of data, how they use data for instructional decision-making, and how the data use cultures at the district and school levels influence this data use. The study was designed with a theoretical framework informed by…

Internationally, assessment and the use of diagnostic data are recognized as critical capabilities for teachers. This is not a recent development, with assessment recognized for some decades as playing a significant role in informing learning and learners.This paper will examine whether teachers and members of the school leadership team utilize…

Despite the considerable resources dedicated to teacher evaluation reform, there is currently little evidence on the mechanisms by which evaluation translates into improvements in teachers' instructional practice. To address this need, this study was a two-pronged approach to examine the use of evaluation data for improvement within the Chicago…

Purpose: This paper aims to present a review of case studies on the use of learning analytics in Science, Technology, Engineering, (Arts), and Mathematics (or STE[A]M) education. It covers the features and trends of learning analytics practices as revealed in case studies. Design/methodology/approach: A total of 34 case studies published from 2013…

The "Forum Guide to Metadata" presents and examines the ways in which metadata can be used by education agencies to improve data quality and promote a better understanding of education data. Supported by metadata-related case studies from state and local education agencies, the guide highlights the uses of metadata from a technical point…

Background/Context: There is a body of evolving research on how educators use data for improvement, with many examples in the literature about how educators learn to use a routine of data-driven cycles of inquiry to make smart improvements to their practice. This article is not an alternative structure for engaging in cycles of inquiry, but rather…