Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…

Although numerous survey-based studies have found that students who identify as lesbian, gay, bisexual, or questioning (LGBQ) have elevated risk for many negative academic, disciplinary, psychological, and health outcomes, the validity of the types of data on which these results rest have come under increased scrutiny. Over the past several years,…

Teachers may benefit from using classroom-delivered, low-intensity strategies to increase engagement of students at-risk for emotional and behavioral disorders and academic failure in the general education classroom. This project focused on empowering teachers to be involved in every step of the research process: screening, planning, data…

Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…

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…

Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…

Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…

The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…

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…

For many years, the Kauffman Foundation has focused efforts on improving educa­tion for children in Kansas City. Prior to opening the Kauffman School, the Kauffman Foundation operated several programs that addressed the challenges faced in urban education, such as Project Early (an early childhood program), Project Choice (a high school dropout…

The West Virginia Board of Education (WVBE), recognizing the need for safe and supportive schools, revised its policy regarding student conduct. The result, "Expected Behaviors in Safe and Supportive Schools" (WVBE Policy 4373, effective July 1, 2012), put forth the behaviors expected of West Virginia's students; the rights and…

Culturally responsible implementation of School-Wide Positive Behavioral Interventions and Supports (SWPBIS) requires that schools monitor indices of disciplinary practices among minority groups. School teams are encouraged to calculate risk indices and risk ratios to evaluate the extent to which students of all groups are removed from classrooms…

An early warning system is an intentional process whereby school personnel collectively analyze student data to monitor students at risk of falling off track for graduation and to provide the interventions and resources to intervene. We studied the process of monitoring the early warning indicators and implementing interventions to ascertain…

Curriculum for Excellence (CfE), published in November 2004, states that all young people should be "successful learners, confident individuals, responsible citizens and effective contributors to society and at work". These are commonly referred to as the 4 capacities of CfE. CfE also recommends that the curriculum should be designed…