Research into literacy and technology in primary classrooms: an exploration of understandings generated by recent studies

Whilst much has been written about the implications for ‘literacy’ for practices surrounding digital technologies (Gee, 2000a; Luke and Carrington, 2002; Snyder, 1998), there has been surprisingly little research investigating new literacies in primary classrooms (Andrews, 2003; Labbo and Reinking, 2003: Lankshear and Knobel, 2003). This review examines the kinds of understandings that have been generated through studies of primary literacy and technology reported during the period 2000-2006. It uses Green’s distinction between ‘operational’, ‘cultural’ and ‘critical’ dimensions of primary literacy (Lankshear and Bigum, 1999; Snyder, 2001) to investigate the focus and methodology of 38 empirical studies. It explores ways in which research may be informed by assumptions and practices associated with print literacy, but also highlights the kinds of studies which are beginning to investigate the implications of digital texts for primary education. The paper concludes by arguing for further ethnographic and phenomenological studies of classroom literacy practices in order to explore the complex contexts which surround and are mediated by digital texts

Medium for empowerment or a 'centre for everything': students’ experience of control in digital environments within a university context

In maximising opportunities to nurture rich and productive learning communities, there is a need to know more about the cultures and sub-cultures that surround virtual learning environments (VLEs). Drawing from a small-scale interview study of students’ digital practices, this paper explores how different discourses may have patterned a group of students’ experiences of VLEs. Unlike studies which have focused upon evaluations of specific projects or interventions, this study investigated their experience across their course. It explores the student identities they associated with digital environments and the power relationships which seemed to pattern how they positioned themselves (or felt positioned) as learners. Whilst none were intimidated by technical aspects, the student identities available to them seemed to vary, as did their perceptions of the student identities associated with university-sponsored digital environments. The analysis considers three aspects of their experience: how they related to the VLE itself, how they related to others through this, and the alternative communities they created to attempt to manage their engagement with the VLE. The paper concludes by arguing for further research which focuses on the broader student experience across courses in order to explore how university-based digital environments intersect with students’ identities as learners

Bootstrapping trust evaluations through stereotypes

Publisher PD

U.S. State-Level Carbon Dioxide Emissions: A Spatial-Temporal Econometric Approach of the Environmental Kuznets Curve

One of the major criticisms of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are unaffected by events in neighboring regions (i.e., assume there are no transboundary pollution emissions between neighbors). By ignoring the spatial aspects within the data several past estimates of the EKC could have generated biased or inconsistent regression results. By ignoring the temporal aspect within the data several past estimates of the EKC could have generated spurious regression results or misspecified t and F statistics. To address this potential misspecification we estimate the relationship between state-level carbon dioxide emissions and income (GDP) accounting for both the spatiotemporal components within the data. Specifically, we estimate a dynamic spatiotemporal panel model using a newly proposed robust, spatial fixed effects model. This new estimation scheme is appropriate for panels with large N and T. Consistent with the EKC hypothesis we find the inverted-U shaped relationship between CO2 emissions and income. Further, we find adequate evidence that carbon dioxide emissions and state-level GDP are temporally and spatially dependent. These findings offer policy implications for both interstate energy trade and pollution emission regulations. These implications are particularly important for the formulation of national policies related to the 2009 Copenhagen Treaty in which the U.S. has committed to significantly reduce greenhouse gas emissions over the next twenty years.Environmental Kuznets Curve, Carbon Dioxide, Spatial Econometrics, Panel Data Econometrics, Time Series Analysis, Environmental Economics, Pollution Economics, Environmental Economics and Policy, Q50, Q53, Q43, C01, C33,

A Spatiotemporal Fixed Effects Estimation of U.S. State-Level Carbon Dioxide Emissions

One of the major shortcommings of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are unaffected by events in neighboring regions (i.e., assume there are no transboundary pollution emissions between neighbors). By ignoring the spatial aspects within the data several past estimates of the EKC could have generated biased or inconsistent regression results. By ignoring the temporal aspect within the data several past estimates of the EKC could have generated spurious regression results or misspecified t and F statistics. To address this potential misspecification we estimate the relationship between state-level carbon dioxide emissions and income (GDP) accounting for both the spatiotemporal components within the data. Specifically, we estimate a dynamic spatiotemporal panel model using a newly proposed robust, spatial fixed effects model. This new estimation scheme is appropriate for panels with large N and T. Consistent with the EKC hypothesis we find the inverted-U shaped relationship between CO2 emissions and income. Further, we find adequate evidence that the underlying economic processes driving carbon dioxide emissions and state-level GDP are temporally and spatially dependent. These findings offer policy implications for both interstate energy trade and pollution emission regulations. These implications are particularly important for the formulation of national policies related to the 2009 Copenhagen Treaty in which the U.S. has committed to significantly reduce greenhouse gas emissions over the next twenty years.Pollution Economics, Environmental Kuznets Curve, Spatial Econometrics, Dynamic Panel Data, Carbon Dioxide Emissions, Global Climate Change, Environmental Economics and Policy, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy, C33, C51, Q43, Q50, Q53, Q58,

Determinants of Success in High School Economics: Lessons from the Field

Recently, the Hawaii Council on Economic Education conducted a survey of high school seniors to gauge their understanding of basic economic concepts. Based on these results, we conduct a series of case studies, consisting of interviews with principals and economics teachers at eight Hawaii public high schools. We summarize the qualitative and quantitative results of these interviews. We then use these and other data to estimate the effects of school, demographic, and other characteristics on average student achievement on the survey. We find that the improvement in student test scores as a result of a one semester economics course is modest, but that the single greatest determinant of achievement is overall school quality. Based on these and other findings, we present recommendations for policy and further research.

A study of the intensity of the self-broadened fundamental band of hydrogen chloride

Intensity study of self-broadened fundamental band of hydrogen chlorid