Educational data mining has allowed for large improvements in educational outcomes and understanding of educational processes. However, there remains a constant tension between educational data mining advances and protecting student privacy while using educational datasets. Publicly available datasets have facilitated numerous research projects…

The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…

Learning analytics have the potential to improve teaching and learning in K-12 education, but as student data is increasingly being collected and transferred for the purpose of analysis, it is important to take measures that will protect student privacy. A common approach to achieve this goal is the de-identification of the data, meaning the…

The purpose of this brief is to provide school-level examples of how early college practitioners are collecting and using data to improve their practices. Examples three and four are school-level data from two early college partnerships: the MetroWest CPC (Framingham, Milford, Waltham), and Lawrence. The brief begins, however, with the national…

The abundance of student records housed in K-12 schools across the country represents a largely untapped resource in the study of behavioral phenomena among children. Careful review of these existing records affords educational researchers an alternative to the heavily used survey method of data collection. While record review studies are common…

This research aims to develop a student data management system at 9 Tapung Junior High School (SMP) Negeri 9 Tapung, which has not documented using a computer or school web using text-based programming languages like HTML, JavaScript, CSS, and PHP. The student information system design at SMP Negeri 9 Tapung in its manufacture uses a literacy…

With over 37 million residents, California is the most populous state in the country. California's primary and secondary schools enroll over 6.2 million students,1 and there are 3.4 million undergraduates attending 683 postsecondary institutions in California. Yet, because of the lack of a strong data infrastructure, we are unable to answer basic…

This supplemental report provides technical documentation for the main report (published separately). A significantly higher percentage of AISD graduates enrolled in postsecondary institutions in 2014 (66%) than enrolled in 2013 (63%). Eighty-one percent of Class of 2013 graduates enrolled and persisted in a postsecondary institution 2 consecutive…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…

This correlation study examined relationships between special education and standardized testing variables of 100 Arizona secondary school districts with Native American populations, and the archival records for postsecondary outcomes between 2012 and 2014 of students with disabilities, using archival data collected by the Arizona Department of…

Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

This article investigates the utility and availability of college data to evaluate the impact of high school interventions. It reports results of a pilot study that collected information about the college experiences of graduates from four high schools in the northeast United States. Using these results as a lens, the article examines what…

Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…

The emergence of longitudinal data systems over the past decade has provided exciting opportunities to better understand students' educational trajectories over time and institutions. The stark reality for today's high school students is that some form of postsecondary education is a necessary ticket of entry to a secure economic future. This…

Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…