The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…

The Every Student Succeeds Act prohibits the federal government from requiring the use of student achievement data for teacher accountability purposes. As states grapple with what to do about teacher accountability, it is critical to examine policy influences on a) the equitable distribution of effective teachers; and b) how teacher accountability…

There's much talk about using data to inform education decision-making, both in and beyond the classroom. This paper examines the landscape of data literacy, based on a meeting in May 2012 which brought together the foremost researchers and professional development providers in the field of data-driven decision-making in education. The meeting…

Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…

With the demand for a demonstration of continuous progress as an accountability gauge in public schools, teachers are compelled to examine assessment data for each of their pupils. This data analysis, in turn, should help teachers gauge their instructional practices and differentiate instruction so that all can reach proficient levels of…

Teacher effort, a critical component of education production, has been largely ignored in the literature due to measurement difficulties. Using a principal-agent model, North Carolina public school data, and the state's unique accountability system that rewards teachers for school-level academic growth, we show that we can distill effort from…

This case study provides an illustration of the heuristic practices of a high-performing research department, which in turn, will help build much needed models applicable in the context of large urban districts. This case study examines the accountability, planning, evaluation, testing, and research functions of a research department in a large…

This paper reviews the question of the cost and benefits of data for the analysis of state policy questions, and concludes that in the abstract the question cannot be answered; rather, it must be considered on a continuing basis whenever data is to be collected in the support of baseline studies or special projects. The paper suggests six criteria…

This paper investigates the role of data collection and analysis in the process of legislative evaluation of academic programs, a process which is influenced not only by the expectations and perceptions of both legislators and educators, but, most recently, by consumerism. Before educators can grapple effectively with their concerns over…

Recent trends indicate the increasing concern regarding the broad issue of accountability at institutions of higher education. Because of this, colleges and universities are being forced more and more to base their decisions on hard fact instead of intuition. The institutional research function is instrumental in assisting in this kind of data…

J. Vella, P. Berardinelli, and J. Burrow (1998) described the "accountability process" of program evaluation. This process was implemented to evaluate a Parents as Teachers program after a year of operation. Evaluation included determining goals, identifying objectives, and determining the focus. Critical elements were identified for…

This paper describes an adaptation of Dyer's regression model that uses data on individual students in an attempt to isolate the influence of different schools on variations in student achievement growth. This procedure involves comparing the results of a multiple regression analysis of individual student achievement scores and several…

Nearly all the states produce one or more accountability or indicator reports containing data reported at one or more levels of the education system as well as data from other sources. To inform discussion about what data are useful and appropriate to report, comparisons were made of state accountability and indicator reports. A list of 74…

The Kentucky Tech Prep Evaluation system was developed to establish and maintain a database and data analysis for assessment of the effectiveness of tech prep programs in achieving specific goals and in helping schools improve cognitive and noncognitive performance as reflected in the Kentucky Instructional Results Information System (KIRIS)…