Faculty and Staff

Objectives: While PhD dissertations are typically accessible as part of a university library’s general collection, or as content within a proprietary database, many other terminal degree projects remain invisible and inaccessible to a greater audience. This poster will describe the development and creation of a digital repository collection containing doctor of nursing practice (DNP) student’s final projects.

Methods: The “Doctor of Nursing Practice (DNP) Final Projects Collection” was created over the course of one semester and included initial discussions with program faculty and administrators, the creation of a student consent form, the development of a process for adding student work to the repository collection, and a presentation to graduating students. This poster will describe the process in more detail, discuss benefits and challenges, as well as highlight the considerations to keep in mind when developing and creating a digital collection of student work. Additionally, best practices and lessons learned will also be described to provide valuable information to others considering creating this type of collection at their own institution.

Results: At the end of the first semester of implementation, twenty student projects existed in our public collection. On the whole, both faculty and students were pleased to have a collection highlighting the work being done in their program. Valuable lessons were learned that can be applied in the next semester of implementation. Specifically, metadata consistency was an issue during the initial uploading process. Gaining select faculty and student buy-in by allaying concerns related to some student’s wanting to publish in a peer-reviewed journal on the topic of their final project remains vital.

Conclusion: Creating open access collections of student applied final projects or capstone projects allows for greater visibility of this type of often overlooked student scholarship. Specifically, the final projects showcased can now be found and accessed by potential employers, researchers, other schools, and other DNP students. In many cases these final projects have applied real-world impact related to answering clinical questions or patient care that should be shared with the world.

In the wake of both the end of court-ordered school desegregation and the growing popularity of accountability as a mechanism to maximize student achievement, the authors explore the association between racial segregation and the percentage of students passing high-stakes tests in Florida's schools. Results suggest that segregation matters in predicting school-level performance on the Florida Comprehensive Assessment Test after control for other known and purported predictors of standardized test performance. Also, these results suggest that neither recent efforts by the state of Florida to equalize the funding of education nor current efforts involving high-stakes testing will close the Black-White achievement gap without consideration of the racial distribution of students across schools.

This paper presents a Bayesian framework for evaluative classification. Current education policy debates center on arguments about whether and how to use student test score data in school and personnel evaluation. Proponents of such use argue that refusing to use data violates both the public’s need to hold schools accountable when they use taxpayer dollars and students’ right to educational opportunities. Opponents of formulaic use of test-score data argue that most standardized test data is susceptible to fatal technical flaws, is a partial picture of student achievement, and leads to behavior that corrupts the measures.

A Bayesian perspective on summative ordinal classification is a possible framework for combining quantitative outcome data for students with the qualitative types of evaluation that critics of high-stakes testing advocate. This paper describes the key characteristics of a Bayesian perspective on classification, describes a method to translate a naïve Bayesian classifier into a point-based system for evaluation, and draws conclusions from the comparison on the construction of algorithmic (including point-based) systems that could capture the political and practical benefits of a Bayesian approach. The most important practical conclusion is that point-based systems with fixed components and weights cannot capture the dynamic and political benefits of a reciprocal relationship between professional judgment and quantitative student outcome data.

The recent battle reported from Washington about proposed national testing program does not tell the most important political story about high stakes tests. Politically popular school accountability systems in many states already revolve around statistical results of testing with high-stakes environments. The future of high stakes tests thus does not depend on what happens on Capitol Hill. Rather, the existence of tests depends largely on the political culture of published test results. Most critics of high-stakes testing do not talk about that culture, however. They typically focus on the practice legacy of testing, the ways in which testing creates perverse incentives against good teaching.

More important may be the political legacy, or how testing defines legitimate discussion about school politics. The consequence of statistical accountability systems will be the narrowing of purpose for schools, impatience with reform, and the continuing erosion of political support for publicly funded schools. Dissent from the high-stakes accountability regime that has developed around standardized testing, including proposals for professionalism and performance assessment, commonly fails to consider these political legacies. Alternatives to standardized testing which do not also connect schooling with the public at large will not be politically viable.

The spread of academic testing for accountability purposes in multiple countries has obscured at least two historical purposes of academic testing: community ritual and management of the social structure. Testing for accountability is very different from the purpose of academic challenges one can identify in community “examinations” in 19th century North America, or exams’ controlling access to the civil service in Imperial China. Rather than testing for ritual or access to mobility, the modern uses of testing are much closer to the state-building project of a tax census, such as the Domesday Book of medieval Britain after the Norman Invasion, the social engineering projects described in James Scott's Seeing like a State (1998), or the “mapping the world” project that David Nye described in America as Second Creation (2004). This paper will explore both the instrumental and cultural differences among testing as ritual, testing as mobility control, and testing as state-building.