Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…

This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…

This article provides a systematic literature review about nonprofit and for-profit organizations using "big data" to inform performance improvement initiatives. The review of literature resulted in 4 peer-reviewed articles and an additional 33 studies covering the topic for these contexts. The review found that big data and analytics…

This article provides a tabular analysis of court rulings where public school principals challenged the adverse employment actions of involuntary transfer, suspension, demotion, nonrenewal, constructive termination, and termination during the period 1998-2012. The primary findings were that (a) the judicial outcomes were markedly in favor of the…

Student learning measures have rapidly become common in teacher evaluation systems across the United States. Over half of the country's states have required, recommended, or identified "student learning objectives" (SLOs) as a measure of student growth for use in educator evaluation. Although SLO-type measures vary significantly in terms…

Class size is one of the small number of variables in American K-12 education that are both thought to influence student learning and are subject to legislative action. Legislative mandates on maximum class size have been very popular at the state level. In recent decades, at least 24 states have mandated or incentivized class-size reduction…

Describes, demonstrates, and promotes the use of log-linear analysis in research that investigates categorical variables associated with the study of career development and transition for individuals with disabilities. Formulas used by chi-square and log-linear analyses are presented, and log-linear analysis is demonstrated using data from a…

Training indicators are functional suites of quantitative and qualitative indicators of current or future vocational education and training (VET) supply and demand. The training indicators approach to educational planning considers indicators of present and likely future conditions for skilled labor and forms judgments about the most appropriate…