THE WESTERN NORTH CAROLINA TECHNOLOGY CONSORTIUM: A COLLABORATIVE APPROACH TO BRIDGING THE DIGITAL DIVIDE

Community college presidents face an uphill struggle in preparing their institutions for the rapidly changing technological learning environment. Visionary presidents in rural community colleges are presented with yet another challenge: that of finding themselves on the wrong side of the digital divide. This article describes how presidents of 12 rural community colleges in the mountains of western North Carolina formed a technology consortium to collaboratively address critical technology issues. Integral steps in the joint venture were a combined assessment and planning process authorized by the presidents, formation of the Western North Carolina Technology Consortium, and an e-commerce project designed to meet the needs of small busi-nesses and entrepreneurs in the region. Lessons learned and implications for practice are presented for community college presidents seeking ways to collaborate.     

Context Strengthens Initial Misinterpretations of Text

Three self-paced reading experiments examined the effect of context on interpreting subsequent sentences and in the difficulty of revising initial misinterpretations of subsequent temporarily ambiguous sentences. Target sentences containing noun phrase/sentence (NP/S) coordination ambiguities were preceded by contexts that either did or did not support the preferred, incorrect “NP and NP” interpretation. Online reading times and offline comprehension question responses were the dependent variables. Results suggest that when propositional content of incoming text is consistent with propositional content of the context, readers often hang on to the resulting coherent interpretation even when subsequent input contradicts it. Results also suggest that (a) context affects reading times and final interpretation; (b) when context and comprehension questions bias readers toward the incorrect interpretation, even unambiguous sentences are regularly misinterpreted; and (c) both semantic content and syntactic form of context influence how the context and subsequent text are integrated in memory.     

Supporting Programming and Learning-to-Program with an Integrated CAD and Scaffolding Workbench*

Programming is a complex cognitive task for students, because of the difficulty of finding the appropriate elements (the “decomposition” problem) and integrating them correctly into a whole (the “composition” problem). Programming is also hard to learn, because so much of the thinking behind a program is implicit and the process of programming is long and complicated. Our approach is to integrate a computer-aided design tool (CAD) with scaffolding to create a single, cohesive, and coherent workbench for the entire process. Our workbench is called the GPCeditor. We have evaluated its use by high-school students. Our results suggest that students program well in the GPCeditor, they learn good programming practices, and that the learning is occurring through use of the GPCeditor.     

“Not exactly a model of good hygiene”: theorizing an aesthetic of disgust in the Occupy Wall Street movement

This article explores the pathologizing of social protesters by theorizing an aesthetic of disgust in Occupy Wall Street media coverage. By cataloguing the hygienic deviance of the Occupy movement, I aim to illuminate an important countermobilization technique that disciplines and contains the grotesque function of the Occupy encampments. Examining media coverage of the Occupy movement, I show how aesthetic dimensions—including visual and olfactory sensations related to the bodies of the protesters and their encampments—were used to establish a relationship among hygienic deviance, moral impurity, economic failure, and ultimately the disposal of the protesters. I close by connecting an aesthetic of disgust to larger conceptual issues related to the viability of social protest in an era of neoliberal governmentality.     

Social Media in the Funeral Industry: On the Digitization of Grief

This article explores how innovations in the funeral industry borrow from the technological affordances, commercial logics, cultural norms, and affective registers of social media platforms. Based on ethnographic research of funeral industry conventions, we analyze examples of funeral planning tools, funeral service mediation, and digital memorialization products. We consider how these products aim to capture forms of data, affect, and value as part of the funeral industry’s efforts to shore up their historically intermediary relevance in the face of potential “disruption” from technological innovation, and threats of marginalization posed by shifting norms of networked grieving and commemoration in digital culture     

Testing Measurement Invariance Across Unobserved Groups: The Role of Covariates in Factor Mixture Modeling

Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects with FMM in the context of measurement invariance testing. Specifically, the impact of excluding and misspecifying covariate effects on measurement invariance testing and class enumeration was investigated via Monte Carlo simulations. Data were generated based on FMM models with (1) a zero covariate effect, (2) a covariate effect on the latent class variable, and (3) covariate effects on both the latent class variable and the factor. For each population model, different analysis models that excluded or misspecified covariate effects were fitted. Results highlighted the importance of including proper covariates in measurement invariance testing and evidenced the utility of a model comparison approach in searching for the correct specification of covariate effects and the level of measurement invariance. This approach was demonstrated using an empirical data set. Implications for methodological and applied research are discussed.     

Children in care or in need: educational progress at home and in care

ABSTRACT

By age 16 the attainment of most children in or on the edge of out of home care has fallen well behind the average for their age. This paper uses the English National Pupil Database to examine how much of this falling behind occurs before the age of seven, and how any subsequent decline relates to time in care as against time outside it. We compare the previous progress of three groups of 16-year-olds: 5175 looked after by the state (CLA), 17,392 in need but not in care (CIN), and 22,567 children matched with the CLA or CIN on initial attainment, special educational needs, and eligibility for free school meals. We found that the attainment of the CIN and those CLA not yet in care was around one standard deviation below the cohort average at age seven. It then fell relative to their peers while their rate of unauthorised absences and exclusions grew. Removal from home to care appeared to halt or greatly reduce this decline but did not, on average, reverse it. We conclude that educational interventions for CLA should also include CIN, start before seven, target both school and family, and exploit the educational opportunity which care provides.