This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…

The primary purpose of Title 1, Part D programs is to improve the educational outcomes for youth who are categorized as "neglected" (n), "delinquent" (d), or at-risk under the statute. This brief is designed to help State Coordinators, grantees involved in data collection or analyses, and personnel involved in the design of…

College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…

This article presents a national snapshot of GI Bill student enrollment through examination of a repository of data on veterans' education benefits usage, institutional practices to support veterans, and consumer advocacy information (e.g., complaints and caution flags). Through examination of records from 2217 two-year institutions enrolling…

This article is a reflection on the National Further Education and Training (FET) Learner Forum (NFLF). It uses the NFLF as an example of learner voice in practice, retracing the history of the NFLF as a means of reflecting on some of the benefits and challenges of bringing learner voice into public policy. The article outlines educational debates…

Instructional designers are tasked with making instructional strategy decisions to facilitate achievement of learning outcomes as part of their professional responsibilities. While the instructional design process includes learner analysis, that analysis alone does not embody opportunities to assist instructional designers with demonstrations of…

In this study, major life decisions of gifted adults were examined in relation to life satisfaction. Participants were 57 gifted adults who have been participating in a longitudinal study over the last two decades. Qualitative data were collected via written and online surveys, and were analyzed by a research team using phenomenological,…

The housing and education sectors are being asked to do more with fewer resources. School districts often struggle to meet the needs of low-income students who deal with challenges outside of school and to connect them to resources that can strengthen their academic competencies. Public housing authorities and other assisted-housing providers…

The authors used a phenomenological research method to investigate the career decision-making experiences of 17 employed adults. Thematic results from interview data analysis were organized within 3 overarching themes: decisions centered on relational life, decisions centered on personal meaning, and decisions centered on economic realities. Study…

Monte Vista Elementary School is one of 24 K-5 elementary schools in Las Cruces Public Schools, an urban district in southern New Mexico. The school's 450 students reflect the diversity of its Southwestern community: 75% Hispanic, 17% English language learners, and 68% free or reduced lunch, thus qualifying Monte Vista as a Title I school. Monte…

In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

Offering key concepts about how the informed use of data can translate into highly effective school leadership, this seventh volume in "The Soul of Educational Leadership" series demonstrates how educational leaders can apply data strategically to strengthen school leadership and significantly improve professional learning, students' learning…

Using a cost-benefit framework for financial planning services and proprietary data collected in the summer of 2008, the client characteristics that are associated with the likelihood of paying for professional financial advice, as well as the type of financial services purchased, are identified. Results indicate that respondents who pay for…

No Child Left Behind mandates have given teachers new responsibilities in data analysis and the implementation of strategies that meet individual student needs. Providing tools and methods for data collection, managing it, and then analyzing it is now a basic need for teachers. By aligning assessments for the specific purpose of addressing…

Putting data-driven decision making into practice requires the use of consistent and reliable data that are easily accessible. The systematic collection and maintenance of accurate information is an important component in developing policy and evaluating outcomes. Since 1982, the National Collegiate Athletic Association (NCAA) has been collecting…