Students have many options as they leave high school and enter postsecondary education or the workforce. But during the six years that the Data Quality Campaign has reviewed report cards from all 50 states and the District of Columbia, it has been found that states have struggled to provide a robust picture of all of these options on their report…

This report was conducted in compliance with Senate Bill 55 (SB 55), 88th Texas Legislature, Regular Session (codified as Texas Education Code Section 61.06694): "an act relating to a study and report by the Texas Higher Education Coordinating Board regarding best practices for assisting students with autism spectrum disorder" (ASD). The…

This study aims to analyse the impact of demographic and educational factors on in digital upskilling. We address the relationship between digital skills, critical thinking skills and the student learning experience in courses with embedded upskilling programs. Statistical analysis and exploratory research are used to analyse the data collected by…

Texans ages 25-34 who earn an associate degree are nearly twice as likely to earn at least $50,000 per year than those who don't earn a degree (24% vs. 13%). Those earning a bachelor's degree or higher are nearly four times as likely to reach this self-sustaining wage (49% vs. 13%). If every eighth grader in Harris County were to earn an associate…

This paper identifies a nascent trend in several countries regarding increased collection, public availability and use of destination data for graduates of secondary education, with policy ambitions to support pupil-level decision-making and drive provider-level accountability. This trend mirrors the previous development of such data for higher…

Tracking low-income students after high school graduation presents significant problems for data collection. The Connector Study is an attempt to increase and enrich outcomes data in a longitudinal study of low-income graduates of a national network of innovative high schools by gathering alumni updates through telephone interviews with high…

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…

Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…

This article explores ways to improve the use and usefulness of four large and independently developed U.S. Education Department (ED) school-based data collections: the annual EDFacts' student outcomes on state assessments and high school graduation rates; the annual Common Core of Data's student and teacher counts and district and state finances;…

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…

This study examined vocational/educational disruption in the 2-3 years after high school for 36 youth with autism spectrum disorder (ASD). Data were collected three times from parents: during youth's last year of high school and two times after high school exit. Data were coded into categories indicating any versus no disruptions in postsecondary…

The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…

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…

The Texas Education Agency (TEA) prepares an annual report on graduates and dropouts in Texas public secondary schools. This report includes state summaries of the annual dropout rate, longitudinal graduation and dropout rates, and state attrition rates. In addition to statewide statistics, the report provides historical information about dropout…

The abrupt shift to distance learning at the onset of the COVID-19 crisis exacerbated inequalities in California's K-12 system and added urgency to an ongoing discussion about the role of high school graduation policy in promoting equitable student outcomes. More rigorous graduation requirements, particularly in math and science, can improve…