Faculty and Staff

(Preprint.) Today's college and university learning landscapes are dynamic and
characterized by increased student demand for highly flexible and self-paced online learning opportunities. Recent fiscal conditions in higher education make learning landscape development more challenging due to finite resources and competing priorities. Similarly, academic libraries are experiencing substantial budget and staff reductions. Despite these trends, academic libraries are in a strong position to contribute to surrounding learning landscapes by expanding student online learning opportunities and promoting the critical use of information. Evolving learning technologies available for free or at low cost provide higher education and libraries with the tools to respond to this fluid environment.

Leveraging Drupal for your business:
Use Drupal to power your business -- hear case studies and learn about adapting to open-source technology.

Libraries are growing into new joint entities -- the library as a place, and the library as a resource. Library websites serve as a resource, delivering tools for learning to patrons and students in an academic setting. Drupal is an ideal tool for facilitating the specialized tasks that many library developers have to complete.

In this session, attendees will learn about:
       1. Using the built-in architecture of Drupal 6 and Drupal 7 to meet the goals of library 
           websites.
       2. The 10 best modules for library websites.
       3. 10 recommended theming techniques for common library interfaces.
       4. New expectations of library websites as gathered from user surveys and usability
           studies.
       5. Example set-ups of Drupal sites for common library settings and staff organizations.
       6. Successful case studies of major library websites run on Drupal.
       7. Tips for useful library-specific usability studies with library users and students.

Attendees will come away from this session with a firm understanding of quality library sites as tools, and what many users are growing to expect. They will also learn how to set up a Drupal website for a library, and successful ways to meet the specific resource needs of their organizations.

The archived event website can be accessed here.

Limited to streaming only those videos a vendor hosted, ASU Libraries sought to expand collection options with a trial project for hosting content locally. Kaltura, was selected as the platform, but Kaltura does not work out of the box. This presentation will cover how using Drupal, along with Kaltura, we built a working video hosting solution. The presentation will cover administrative hurdles, stumbling blocks, pitfalls, enhancements, and lessons learned along the way.

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.