489 research outputs found

    Theory into Practice: The KSU PDS Model

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    The 1983 publication of A Nation at Risk: The Imperative for Educational Reform (National Commission of Excellence in Education) “initiated the longest sustained period of attention to public education in the nation’s history and ignited a new wave of interest in teacher preparation.

    The development of a model of culturally responsive science and mathematics teaching

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    This qualitative theoretical study was conducted in response to the current need for an inclusive and comprehensive model to guide the preparation and assessment of teacher candidates for culturally responsive teaching. The process of developing a model of culturally responsive teaching involved three steps: a comprehensive review of the literature; a synthesis of the literature into thematic categories to capture the dispositions and behaviors of culturally responsive teaching; and the piloting of these thematic categories with teacher candidates to validate the usefulness of the categories and to generate specific exemplars of behavior to represent each category. The model of culturally responsive teaching contains five thematic categories: (1) content integration, (2) facilitating knowledge construction, (3) prejudice reduction, (4) social justice, and (5) academic development. The current model is a promising tool for comprehensively defining culturally responsive teaching in the context of teacher education as well as to guide curriculum and assessment changes aimed to increase candidates’ culturally responsive knowledge and skills in science and mathematics teaching

    Inhibition of wheat by sorghum residue under several tillage systems

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    Relationship between tillering and grain yield of Kansas wheat varieties

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    Table of contents and editorial information for Vol. 42, no. 1, Fall 2014

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    This content includes the table of contents, editorial information, public information and more for this special issue The Kansas State University Professional Development School Partnership

    Foreword

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    In her examination of Powerful Teacher Education (2006), Linda Darling-Hammond concludes that, “Clearly, a key to dramatically successful preparation of teachers is finding ever more effective ways of connecting the knowledge of the university with the knowledge of the school.

    Educational Considerations, vol. 42(1) Full Issue

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    Educational Considerations, vol. 42(1)-Fall 2014-Full issu

    Seasonal control of Petermann Gletscher ice-shelf melt by the ocean's response to sea-ice cover in Nares Strait

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    Petermann Gletscher drains ~4% of the Greenland ice sheet (GrIS) area, with ~80% of its mass loss occurring by basal melting of its ice shelf. We use a high-resolution coupled ocean and sea-ice model with a thermodynamic glacial ice shelf to diagnose ocean-controlled seasonality in basal melting of the Petermann ice shelf. Basal melt rates increase by ~20% in summer due to a seasonal shift in ocean circulation within Nares Strait that is associated with the transition from landfast sea ice to mobile sea ice. Under landfast ice, cold near-surface waters are maintained on the eastern side of the strait and within Petermann Fjord, reducing basal melt and insulating the ice shelf. Under mobile sea ice, warm waters are upwelled on the eastern side of the strait and, mediated by local instabilities and eddies, enter Petermann Fjord, enhancing basal melt down to depths of 200 m. The transition between these states occurs rapidly, and seasonal changes within Nares Strait are conveyed into the fjord within the same season. These results suggest that long-term changes in the length of the landfast sea-ice season will substantially alter the structure of Petermann ice shelf and its contribution to GrIS mass loss

    The Development of the KSU PDS Model: 25 Years in the Making

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    Educational improvement demands continuous change, but change is not always productive. Reflecting on the past and vision setting for the future helps chart a course for a more productive change process. Historians urge learning from history to guide future actions

    Freshwater in the Bay of Bengal : its fate and role in air-sea heat exchange

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    Author Posting. © The Oceanography Society, 2016. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 29, no. 2 (2016): 72–81, doi:10.5670/oceanog.2016.40.The strong salinity stratification in the upper 50–80 m of the Bay of Bengal affects the response of the upper ocean to surface heat fluxes. Using observations from November to December 2013, we examine the effect of surface cooling on the temperature structure of the ocean in a one-dimensional framework. The presence of freshwater adds gravitational stability to the density stratification and prevents convective overturning, even when the surface becomes cooler than the subsurface. This stable salinity stratification traps heat within subsurface layers. The ocean’s reluctance to release the heat trapped within these subsurface warm layers can contribute to delayed rise in surface temperature and heat loss from the ocean as winter progresses. Understanding the dispersal of freshwater throughout the bay can help scientists assess its potential for generating the anomalous temperature response. We use the Aquarius along-track surface salinity and satellite-derived surface velocities to trace the evolution and modification of salinity in the Lagrangian frame of water parcels as they move through the bay with the mesoscale circulation. This advective tracking of surface salinities provides a Lagrangian interpolation of the monthly salinity fields in 2013 and shows the evolution of the freshwater distribution. The along-trajectory rate of salinification of water as it leaves the northern bay is estimated and interpreted to result from mixing processes that are likely related to the host of submesoscale signatures observed during our field campaigns.This work was supported by the Office of Naval Research (grant N000141310451)
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