Teachers' Knowledge of Literacy Concepts,Classroom Practices,and Student Reading Growth

We examined the relations of teacher knowledge (n = 42 first-grade teachers), explicit decoding instruction provided, and students' (n = 437) word-reading gains. Results revealed an interaction between teacher knowledge and observed decoding instruction: For students of more knowledgeable teachers, more time in explicit instruction predicted stronger word-reading gains. For students of less knowledgeable teachers, more time in explicit instruction was associated with weaker skill gains. Findings highlight the importance of teachers' specialized body of knowledge about reading as it informs effective instruction.     

Making sense of realistic word problems: portraying working class ‘failure’ on a division with remainder problem

Children of 10–11 years of age were interviewed while undertaking a range of mathematic problems, most of which embedded mathematical operations in textually represented realistic settings. One problem, concerning a lift moving people in the morning rush, comprised a division‐with‐remainder problem in which children are required, conventionally, to introduce a particular realistic consideration in order to produce the ‘correct’ answer. Another problem was an extended version of this, requiring children to comment on four competing answers produced by other children. Analysis of responses to the first of these two problems demonstrated that it was working class children who were especially likely to fail to produce the conventionally required answer. Having shown this, the paper concentrates on portraying the ways in which ‘failing’ working class children interpret and respond to the two problems. Our purpose here is to contribute to understanding the difficulties working class children appear to have in negotiating the demands of contextualized problems.     

Social structures and the flow of scientific information in public agencies: an ideal design

Despite widespread dissatisfaction with the quality of scientific information employed in planning and policy-making in public agencies, relatively little is known about the scientific information acquisition behaviors of public managers. The purpose of this paper is to facilitate research on scientific information acquisition in public agencies by suggesting that: (1) planning and policy-making are ‘policy technologies’ and share certain attributes with more traditional technologies; (2) many propositions developed in the literature on information flows in R&D labs are, therefore, helpful in structuring thinking about information flows in public agencies; and (3) it may be possible self-consciously to design social and organizational structures so as to enhance informal flows of scientific information. After gleaning some of the propositions concerning scientific information flows from the R&D management literature, an ‘ideal design’ approach is employed to develop a model in which the social and organizational structures of a public agency optimize scientific information flow.     

Impacts of grants and contracts on academic researchers’ interactions with industry

Based on a representative national sample of 1564 academic researchers, we investigate the impacts of research grants and contracts on the nature and extent of faculty research and technology activities with industry. A particular focus is on understanding the independent contributions of industry and government grant sources on levels of industrial involvement. In addition to examining the source of grants, the study controls for a number of independent factors including: scientific field, research center affiliation, tenure status, and gender. Results suggest independent effects of grants and contracts on industrial activities. Grants and contracts from industry have a significant effect on academic researchers’ propensity to work with industry, as measured by an “industrial involvement scale.” Federally-sponsored grants also have an impact in increasing work with industry, but a more moderate one. Further, those with more grants and contracts (of each type) have a greater propensity for industrial involvement than those who have such contracts but fewer. This holds even when proxies for productivity and career stage are introduced in regression equations. The analysis also considers whether provision of grants and contracts is best viewed as a predictor of industrial involvement or just another type of industrial involvement using factor analysis and nested multivariate modeling to compare effects.     

Designing usable interventions: bringing student perspectives to the table

This commentary examines the rationale behind the use of participatory approaches to the design and development of educational interventions, particularly with respect to the inclusion of students in the process. The perspectives and claims put forth in this special issue are examined against an emerging approach to designing more usable educational interventions called design-based implementation research, or DBIR.