Two- and Three-Year Achievement Results From the Memphis Restructuring Initiative

The purpose of this study was to analyze student achievement data from the first 3 years of the Memphis Restructuring Initiative (MRI). The MRI represents one of the first efforts by an urban school district to move past traditional top-down versus bottom-up reform debates by providing systemic support for outside-in/inside-out implementation and local co-construction of externally-developed reform designs in schools. Analyses of academic achievement focus on a state-of-the-art measure of value added assessments. At the end of 3 years the reforming schools had produced generally positive gains relative to locally matched control schools. Those results varied somewhat by reform type and by level of poverty in the communities being served. Based on the research methods used and the results, implications for future research and practice in educational reform are discussed.     

Engaging the Experts in Museum Computing: Seven Years of Queries on MCN‐L

MCN‐L, an email listserv administered by the Museum Computer Network, is open to anyone interested in discussing information technology in museums and other cultural heritage organizations. To determine how MCN‐L meets the needs of museum information professionals, this study presents an analysis of more than 6,000 emails sent to the listserv over a seven‐year period (2004–2011). The results of this analysis indicate that MCN‐L adds value to the online community of museum information professionals by providing an online communication channel focused on professional outreach and expert support, backed up by specific examples drawn from personal experiences. MCN‐L's emphasis on personal expertise is a key characteristic that speaks to the listserv's lasting value to the museum community and has implications for researchers and practitioners as they consider the future of computer‐mediated communication for all museum professionals.     

The ethics of designing artificial agents

In their important paper “Autonomous Agents”, Floridi and Sanders use “levels of abstraction” to argue that computers are or may soon be moral agents. In this paper we use the same levels of abstraction to illuminate differences between human moral agents and computers. In their paper, Floridi and Sanders contributed definitions of autonomy, moral accountability and responsibility, but they have not explored deeply some essential questions that need to be answered by computer scientists who design artificial agents. One such question is, “Can an artificial agent that changes its own programming become so autonomous that the original designer is no longer responsible for the behavior of the artificial agent?” To explore this question, we distinguish between LoA1 (the user view) and LoA2 (the designer view) by exploring the concepts of unmodifiable, modifiable and fully modifiable tables that control artificial agents. We demonstrate that an agent with an unmodifiable table, when viewed at LoA2, distinguishes an artificial agent from a human one. This distinction supports our first counter-claim to Floridi and Sanders, namely, that such an agent is not a moral agent, and the designer bears full responsibility for its behavior. We also demonstrate that even if there is an artificial agent with a fully modifiable table capable of learning* and intentionality* that meets the conditions set by Floridi and Sanders for ascribing moral agency to an artificial agent, the designer retains strong moral responsibility.     

The impact of teacher preparation on student achievement in algebra in a “hard-to-staff” urban PreK-12-university partnership

Debate about teacher supply, demand, retention, and attrition has been renewed in recent years by an increased concern about the reduced numbers of prospective teachers entering teacher education programs, the high attrition rate of beginning teachers, and the resulting teacher shortages. U.S. schools are experiencing teacher shortages, especially in low-income urban areas, because of increased school enrollment, teacher retirement, reduction in class size, teacher attrition, and turnover related to low salaries, job dissatisfaction, and lack of administrative support and influence over decision-making. Recently, the increased interest in teacher quality has been the topic of debate for policy-makers, the public, and the educational community. The purpose of this study was to determine if a nontraditional teacher preparation program, the Transition To Teaching program, was a viable way to ease the teacher shortages in a high poverty, urban U.S. school district, and at the same time, to evaluate the impact of teacher training on students' academic achievement. The results of this study afford evidence that the students taught by 1st-year, alternatively prepared teachers achieved as well as or better than their peers taught by traditionally certified 1st-year teachers, according to student achievement in mathematics, specifically Algebra I.     

Museum professionals and the relevance of LIS expertise

This article presents results from a survey designed to assess the relevance of library and information science (LIS) expertise—here defined as those topics typically, but not exclusively, taught in LIS programs—for museum professionals. The topics covered in this article are information representation, information organization and access, information management, computer technologies, digitization technologies, interactive technologies, information policy, evaluation methods, and collaboration initiatives. An online survey assessed the degree to which museum professionals possess skills in these topics, perform work in these topics, and consider these topics important for future study. The article examines the relative value of each topic for museum professionals and discusses the importance of strengthening relationships between LIS and museum studies by better understanding the relevance of LIS expertise in museums.