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Susan R. Goldman M. Anne Britt Willard Brown Gayle Cribb MariAnne George Cynthia Greenleaf 《教育心理学家》2016,51(2):219-246
This article presents a framework and methodology for designing learning goals targeted at what students need to know and be able to do in order to attain high levels of literacy and achievement in three disciplinary areas—literature, science, and history. For each discipline, a team of researchers, teachers, and specialists in that discipline engaged in conceptual meta-analysis of theory and research on the reading, reasoning, and inquiry practices exhibited by disciplinary experts as contrasted with novices. Each team identified discipline-specific clusters of types of knowledge. Across teams, the clusters for each discipline were grouped into 5 higher order categories of core constructs: (a) epistemology; (b) inquiry practices/strategies of reasoning; (c) overarching concepts, themes, and frameworks; (d) forms of information representation/types of texts; and (e) discourse and language structures. The substance of the clusters gave rise to discipline-specific goals and tasks involved in reading across multiple texts, as well as reading, reasoning, and argumentation practices tailored to discipline-specific criteria for evidence-based knowledge claims. The framework of constructs and processes provides a valuable tool for researchers and classroom teachers' (re)conceptualizations of literacy and argumentation learning goals in their specific disciplines. 相似文献
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The Politics of Education in the Local Community. Robert S. Cahill and Stephen P. Hencley, Editors.
The Political Power and Educational Decision-Making. By Ralph B. Kimbrough. 相似文献
The Political Power and Educational Decision-Making. By Ralph B. Kimbrough. 相似文献
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Alice van Ommeren Catharine Liddicoat Willard Hom 《Community College Journal of Research & Practice》2013,37(7):463-479
The economic, educational and social environments of the students served by a community college are important factors in college performance accountability, policy analysis, program evaluation, and strategic planning. For example, previous research shows that income per county is a significant predictor of transfer rates for community colleges. However, conditions for the actual geographic area of the students served by a community college may differ, for various reasons, from the economic conditions for the county in which the college is located. This article describes the development of institutional or college-level indices as an enhancement to county-level data, their use as adjustment variables for California's Accountability Reporting for the Community Colleges (ARCC), and their applicability to other research and planning studies. The service area indices are created by combining the enrollment patterns of students by ZIP Code of residence with ZCTA (ZIP Code Tabulation Area) level economic and educational data from Census 2000. 相似文献
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Willard Uncapher 《The Information Society》2002,18(4):309-310
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