Role Development in the Managed Care Era: A Case of Hospital-Based Nursing

Managed care poses numerous opportunities and challenges for today's health care organizations and their employees. This article investigates the ways that hospital nurses develop and make sense of their professional roles and organizational environments in a changing and often uncertain managed care setting. The case study approach used in this research combined qualitative methodologies to gain a rich, detailed, and contextual understanding of nurses' work roles and organizational experiences. After an analysis of interviews with 24 nurses and observations of nurses' communicative activities on one inpatient unit, the complexity of sensemaking and role development in a managed care environment is considered. Conclusions are then drawn regarding the theoretical and pragmatic implications of nurses' communicative processes, as they attempted to develop and understand their roles in a changing organizational context.     

Early Literacy Skills in African-American Children: Research Considerations

The poor reading achievement of African-American children in urban schools is well established. African-American children from low-income homes may be at particular risk for reading difficulties, although middle-income children often fare poorly as well. Intervention efforts have focused on children in kindergarten through fifth grade. This article suggests that prevention efforts must begin prior to kindergarten entry. Several key variables that may influence young children's performance, including poverty, general oral language skills, dialectal variations, home literacy practices, standardized testing bias, and teacher expectations, are explored. Future directions for research addressing emergent literacy in African-American children are discussed throughout.     

Making sense of learner and learning Big Data: reviewing five years of Data Wrangling at the Open University UK

Most distance learning institutions collect vast amounts of learning data. Making sense of this ‘Big Data’ can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated in 2012 a Data Wrangling initiative. This provided every Faculty with a dedicated academic with expertise data analysis and whose task is to provide strategic, pedagogical and sense-making advice to staff and senior management. Given substantial changes within the OU (e.g. new Faculty structure, real-time dashboards, two large-scale adoptions of predictive analytics approaches, increased reliance on analytics), this embedded case study provides an in-depth review of lessons learned of five years of data wrangling. We will elaborate on the design of the new structure, its strengths and potential weaknesses, and affordances to be adopted by other institutions.     

Public school size and Hispanic student achievement in Texas: a 5-year analysis

In this study, the researchers examined 5 years of Texas statewide data concerning elementary school size and Hispanic student performance on three state-mandated assessments in reading, mathematics, and writing. For each year of data analyzed here, student data from more than 1,200 elementary schools. After collapsing elementary schools into three sizes (i.e., very small <400 students; small 400–799 students; and large 800–1,199 students), multivariate statistical procedures revealed the presence of statistically significant differences in Hispanic student performance in reading, mathematics, and writing across all 5 years of data analyzed. In almost every analysis, Hispanic students in large elementary schools outperformed Hispanic students in very small elementary schools in reading, mathematics, and in writing. As such, our findings are in disagreement with other studies. Implications are discussed.     

What Can Be Learned from Something's Not Being Named

A new word-learning phenomenon is demonstrated and a new word-learning principle is proposed to account for it. In Study 1, 60 3-year-olds were shown a pair of objects and heard a novel label used repeatedly for one, but not for the other. In a forced-choice test of generalization of the label, the latter object was selected less often by the children than one that had not been present during training. This so-called Nominal Passover Effect was the same whether the speaker had completely ignored the comparison object during training or had referred to it with pronouns. The performance of a no-word control group ( N = 24) indicated that the effect was not due to a preference for the less exposed of the two choice objects. The effect is consistent with the Exhaustive Reference Principle, which stipulates that whenever a new generic word is used to name something, expect it to be extended to all entities in a situation that the speaker perceives and believes to be exemplars of the name. In Study 2 ( N = 48), the Nominal Passover Effect was replicated with 3 new sets of objects and with training language that contained only indefinite forms of reference. The passover experience was often sufficient to counteract children's tendency to generalize a novel label on the basis of perceptual similarity. The passover effect was not evident in free-choice name generalization tests in either study.     

Bakhtin's theory of dialogue: A construct for pedagogy, methodology and analysis

This article describes the application of Bakhtin's (1981, 1986a,b) theorisation of language as dialogue to the study of young students' struggle with discourses of ethnicity within the context of a Studies of Asia curriculum project (Hamston 2003). Bakhtin's rich conceptualisation of the productive and ethical nature of dialogue has operated at all levels in this study as a theoretical, pedagogical, methodological and analytic research construct.     

Mathematical Flexibility: Aspects of a Continuum and the Role of Prior Knowledge

Abstract

Psychologists and mathematics educators have long viewed flexibility as critical to students’ mathematical development. In this paper, we focused on the multidimensional nature of flexibility to better understand how preference, knowledge, and use of effective methods for solving algebra problems are related. In Study 1, we identified research-based aspects of flexibility with algebra and assessed students on them following a two-step equations unit. Results indicated that certain aspects of flexibility develop prior to others and that prior knowledge of algebra plays a significant role in that development. Study 2 confirmed and elaborated on these results using a larger sample size. Implications for theory and for supporting flexibility in classrooms are discussed.     

Orthographic knowledge: clarifications,challenges, and future directions

Orthographic knowledge is the understanding of how spoken language is represented in print. However, the terms used to describe the two levels of orthographic knowledge, lexical and sublexical orthographic knowledge, have been variably defined and inconsistently measured, potentially contributing to discrepancies in research findings. Dissimilarities in how orthographic knowledge has been operationally defined and measured and the associated differences in tasks used to assess that construct are discussed. As part of that discussion, we relate how some measures assess either implicit or more explicit levels of orthographic knowledge. Using current theories and the existing research, we next provide an argument for how initial development of sublexical orthographic knowledge occurs before lexical orthographic knowledge. Suggestions are provided for what researchers might do in the future to help move the field toward a better understanding of orthographic knowledge. Strategies for assessing orthographic knowledge in literacy research are offered.