The Importance of Teacher Self-efficacy in the Implementation of a Middle and High School Science Writing Initiative

This study focuses on the experiences of two science teachers who worked to implement a writing-focused, science literacy project in their classrooms. More specifically, I uncover the ways these teachers’ experiences differed and how these differences influenced their implementation. Findings confirm the importance of content teachers’ sense of self-efficacy as writers and writing teachers. In order to foster writing initiatives at the middle and secondary levels, we must honor and nurture content teachers’ sense of self-efficacy and give them multiple opportunities to develop mastery experiences

Human Capital and Growth in the Post-Bellum South: A Separate but Unequal Story

This paper tests the importance of human capital in explaining convergence across states of the United States after 1880. Human capital levels are found to matter not only to a state's income level but also to its growth rate through technological diffusion. The South's low human capital levels immediately after the Civil War, combined with its active resistance in the Post-Bellum period to educating its population, both white and black, played an important role in reducing the speed of Southern conditional convergence toward the rest of the nation after the Civil War.

Temporal Network Analysis of Small Group Discourse

The analysis of school-age children engaged in engineering projects has proceeded by examining the conversations that take place among those children. The analysis of classroom discourse often considers a conversational turn to be the unit of analysis. In this study, small-group conversations among students engaged in a robotics project are analyzed by forming a dynamic network with the students as nodes and the utterances of each turn as edges. The data collected for this project contained more than 1000 turns for each group, with each group consisting of 4 students (and the occasional inclusion of a teacher or other interloper). The conversational turns were coded according to their content to form edges that vary qualitatively, with the content codes taken from prior literature on small group discourse during engineering design projects, resulting in approximately 10 possible codes for each edge. Analyzed as a time sequence of networks, clusters across turns were created that allow for a larger unit of analysis than is usually used. These larger units of analysis are more fruitfully connected to the stages of engineering design. Furthermore, the patterns uncovered allow for hypotheses to be made about the dynamics of transition between these stages, and also allow for these hypotheses to be compared to expert consideration of the group’s stage at various times. Although limited by noise and inter-group variation, the larger units allowed for greater insight into group processes during the engineering design cycle

Enhancing Value in Medicare: Demonstrations and Other Initiatives to Improve the Program

Examines Medicare's efforts to be more proactive in the purchase of appropriate, high-quality, and efficient health care for its beneficiaries, and provides an overview of Medicare pilot programs and initiatives in chronic care and provider performance

Illinois Waterfowl Surveys and Investigations, W-43-R-42, Annual Federal Aid Performance Report 1 July 1993 through 30 June 1994

Annual Federal Aid Performance Report W-43-R(S1) -38, 1 July 1989 through 30 June 1990; Study 104: Aerial Censuses of Waterfowl.Report issued on: 15 August 1994INHS Technical Report prepared for Illinois Department of Conservatio

Time-sharing vs. source-splitting in the Slepian-Wolf problem: error exponents analysis

We discuss two approaches for decoding at arbitrary rates in the Slepian-Wolf problem - time sharing and source splitting - both of which rely on constituent vertex decoders. We consider the error exponents for both schemes and conclude that source-splitting is more robust at coding at arbitrary rates, as the error exponent for time-sharing degrades significantly at rates near vertices. As a by-product of our analysis, we exhibit an interesting connection between minimum mean-squared error estimation and error exponents

NYS PROMISE Learning Community Group Concept Mapping: Fall 2016 Case Manager Experience - Final Report

Beginning in 2014, the Federal Government provided funding to New York State as part of an initiative to improve services that lead to sustainable outcomes for youth receiving Supplemental Security Income (SSI) benefits. As part of the NYS PROMISE initiative, Concept Systems, Inc. worked with the Learning Community to develop learning needs frameworks using the Group Concept Mapping methodology (GCM). The GCM projects gather, aggregates, and integrate the specific knowledge and opinions of the Learning Community members. This allows for their guidance and involvement in supporting NYS PROMISE as a viable community of practice. This work also increases the responsiveness of NYS PROMISE to the Learning Community members’ needs by inspiring discussion during the semi-annual in-person meetings. As of the end of year three, three GCM projects have been completed with the PROMISE Learning Community. These projects focused on Outreach and Recruitment Project 1), Case Management and Service Delivery (Project 2), and Case Manager Experience (Project 3). This report discusses the data collection method and participation in the Case Manager Experience GCM project, as well as providing graphics, statistical reports, and a summary of the analysis

Linear complexity universal decoding with exponential error probability decay

In this manuscript we consider linear complexity binary linear block encoders and decoders that operate universally with exponential error probability decay. Such scenarios may be relevant in wireless scenarios where probability distributions may not be fully characterized due to the dynamic nature of wireless environments. More specifically, we consider the setting of fixed length-to-fixed length near-lossless data compression of a memoryless binary source of unknown probability distribution as well as the dual setting of communicating on a binary symmetric channel (BSC) with unknown crossover probability. We introduce a new 'min-max distance' metric, analogous to minimum distance, that addresses the universal binary setting and has the same properties as that of minimum distance on BSCs with known crossover probability. The code construction and decoding algorithm are universal extensions of the 'expander codes' framework of Barg and Zemor and have identical complexity and exponential error probability performance