Collecting treatment integrity data is critical for (a) strengthening internal validity within a research study, (b) determining the impact of an intervention on student outcomes, and (c) assessing the need for implementation supports. Although researchers have noted the increased inclusion of treatment integrity data in published articles, there…

Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

Data-driven decision making is part of our everyday lives. For example, we examine our children's immunization charts in order to indicate what vaccinations they have received, as well as what vaccinations are missing and expired. We use information, like a chart, to make decisions about what to do and what not to do. Data-driven decision making…

In this commentary, we examine Braverman's insights into the trade-offs between feasibility and rigor in evaluation measures and reject his assessment of the trade-off as a zero-sum game. We, argue that feasibility and policy salience are, like reliability and validity, intrinsic to the definition of a good measure. To reduce the tension between…

The Technical Assistance Center on Social Emotional Intervention for Young Children (TACSEI) Roadmap on "Data Decision-Making and Program-Wide Implementation of the Pyramid Model" provides programs with guidance on how to collect and use data to ensure the implementation of the Pyramid Model with fidelity and decision-making that…

Data have long been considered a key factor in organizational decision-making (Simon, 1955; Lindblom & Cohen, 1979). Data offer perspective, guidance, and insights that inform policy and practice (Newell & Simon, 1972; Kennedy, 1984). Recently, education policymakers have invested in the use of data for organizational improvement in states…

Evaluative instruments designed to assess a university's or college's institutionalization of service-learning practices have been devised and widely utilized. These instruments often come with assumptions about aligning data with decision making. To date, attempts to document community engagement practices within a department or an entire…

Ohio's Butler Tech has been able to improve its student performance results from near the worst in Ohio to among the best in six years. At Butler Tech, performance measures are collected and analyzed on a regular basis at all levels of the institution to serve as constant feedback on how well the school is educating its students. In this article,…

One of a series of sixteen knowledge transformation papers, this paper examines the advantages and disadvantages of longitudinal studies as a method for evaluating vocational programs. First, longitudinal methods are defined for the differences between them and cross-sectional studies are established. The results of a literature search conducted…

Since the inception of the School-to-Work Project in 1998, networks members have increasingly viewed credible evidence as critical to both their approaches to program improvement and their strategies for winning and sustaining support and resources. This issue brief: (1) Describes the activities Network members have pursued together during…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…