Integrating Writing into the Early Childhood Curriculum: A Frame for Intentional and Meaningful Writing Experiences

Despite the importance of early writing development to children’s school success, research documents that early childhood teachers spend little time actively supporting children’s writing development in preschool classrooms. This article provides a framework for integrating writing experiences across the early childhood curriculum. Practical examples are given regarding how writing opportunities can be incorporated into existing activities and play settings. The metaphor of backgrounding and foregrounding writing experiences is used to illustrate ways that teachers can set writing rich environments and activities in a manner that makes it easier for teachers to bring these experiences into everyday learning opportunities. Attention is given to how teachers can bring writing to the foreground of the curriculum by drawing attention to writing materials, making natural connections with children’s interest and play, and scaffolding children’s early writing attempts and experiences.     

College Drinkers’ Privacy Management of Alcohol Content on Social-Networking Sites

Alcohol-related posts on social-networking sites (SNS) can damage college students’ reputations and relationships and contribute to risky behavior. However, little is known about how college drinkers engage in privacy management involving alcohol content. Through 48 interviews and a Communication Privacy Management lens, this study uncovered criteria on which students relied to develop relatively impermeable boundaries around alcohol posts, the ways they collectively negotiated privacy with peers, and how participants implicitly and explicitly communicatively negotiated privacy turbulence. Findings suggest important connections between the co-occurrence of online privacy management and identity management, including how facework is involved in remediating privacy breaches and the co-opting of privacy. Findings also inform efforts to educate college drinkers about on-and-offline strategies to manage alcohol-related SNS content.     

Document retrieval on repetitive string collections

Most of the fastest-growing string collections today are repetitive, that is, most of the constituent documents are similar to many others. As these collections keep growing, a key approach to handling them is to exploit their repetitiveness, which can reduce their space usage by orders of magnitude. We study the problem of indexing repetitive string collections in order to perform efficient document retrieval operations on them. Document retrieval problems are routinely solved by search engines on large natural language collections, but the techniques are less developed on generic string collections. The case of repetitive string collections is even less understood, and there are very few existing solutions. We develop two novel ideas, interleaved LCPs and precomputed document lists, that yield highly compressed indexes solving the problem of document listing (find all the documents where a string appears), top-k document retrieval (find the k documents where a string appears most often), and document counting (count the number of documents where a string appears). We also show that a classical data structure supporting the latter query becomes highly compressible on repetitive data. Finally, we show how the tools we developed can be combined to solve ranked conjunctive and disjunctive multi-term queries under the simple \({\textsf{tf}}{\textsf{-}}{\textsf{idf}}\) model of relevance. We thoroughly evaluate the resulting techniques in various real-life repetitiveness scenarios, and recommend the best choices for each case.     

Evaluation practices for college students with LD

To examine current practices in the use of psychoeducational evaluations for service delivery, we surveyed 91 service providers to college students with learning disabilities. The three purposes of the survey were to determine (a) whether service delivery decisions are based on information from psychoeducational evaluations, (b) which sections of the psychoeducational report are most useful in making service delivery decisions, and (c) the respondents' satisfaction with the tests and measurements for service delivery. The findings supported the common belief that data from psychoeducational evaluations serve as the primary basis for both eligibility and specific accommodation determinations. Respondents reported that all sections of the psychoeducational evaluation written report were useful, with the least useful section being test scores and the most useful being the summary of cognitive strengths and weaknesses. However, the section used most often for service delivery decisions was the professional's recommendations.     

The Interparental Relationship and Family Problem Solving with Preadolescent Males

This study examines associations between the quality of the interparental relationship and how well 68 family triads (mother, father, preadolescent son) solved salient problems which arose at home. Four aspects of the interparental relationship (marital satisfaction, parental agreement, conflict during family problem solving, and parental coalitions) were included in a regression analysis which controlled for family structure and child externalizing. A longitudinal design assessed families when mean child age was 9.7 years and 2 years later. Parental agreement consistently facilitated family problem solving. However, strong parental coalitions inhibited family problem solving, which may be attributed to frustrated autonomy needs of preadolescent males in response to the parental coalition. Stepfamilies had less effective problem solving at Time 1. The results confirm the benefits of parental agreement to child outcomes via enhanced family problem solving but show a reverse effect when agreement occurs in the context of coalitions against a preadolescent son.     

On the Complexity of the Reduction of Multidimensional Data Models

In this paper, decomposition methods for multidimensional data hypercubes of OLAP systems are investigated. Criteria for reducing the computational complexity of the decomposition methods are presented and comparisons are made with the traditional solutions of multidimensional data analysis problems. Examples illustrating the application of these criteria to investigating the dynamics of computational complexity changes for specific types of reduction problems are considered.