Knowledge foundations for beginning reading teachers in EFL

This study examined the knowledge that teachers need in order to become successful early reading teachers in English as a foreign language. The findings showed that in-service teachers had better content knowledge than pre-service teachers, although the results indicated overall low performance and insufficiently developed concepts about the structure of language, spelling rules, and academic terminology in both groups.     

The componential model of reading: predicting first grade reading performance of culturally diverse students from ecological, psychological, and cognitive factors assessed at kindergarten entry

This study, framed by the component model of reading (CMR), examined the relative importance of kindergarten-entry predictors of first grade reading performance. Specifically, elements within the ecological domain included dialect, maternal education, amount of preschool, and home literacy; elements within the psychological domain included teacher-reported academic competence, social skills, and behavior; and elements within the cognitive domain included initial vocabulary, phonological, and morpho-syntactic skills, and alphabetic and word recognition skills. Data were obtained for 224 culturally diverse kindergarteners (58% Black, 34% White, and 8% Hispanic or other; 58% received free or reduced-price lunch) from a larger study conducted in seven predominantly high poverty schools (n = 20 classrooms) in a midsized city school district in northern Florida. Results from a hierarchical multiple regression (with variables in the ecological domain entered first, followed by the psychological and cognitive domains) revealed a model that explained roughly 56% of the variance in first grade reading achievement, using fall-of-kindergarten predictors. Letter-word reading and morpho-syntactic skill were the strongest significant predictors. The findings largely support the CMR model as a means to understand individual differences in reading acquisition and, in turn, to support data-based instructional decisions for a wider range of children.     

First-grade cognitive abilities as long-term predictors of reading comprehension and disability status

In a sample of 195 first graders selected for poor reading performance, the authors explored four cognitive predictors of later reading comprehension and reading disability (RD) status. In fall of first grade, the authors measured the children's phonological processing, rapid automatized naming (RAN), oral language comprehension, and nonverbal reasoning. Throughout first grade, they also modeled the students' reading progress by means of weekly Word Identification Fluency (WIF) tests to derive December and May intercepts. The authors assessed their reading comprehension in the spring of Grades 1-5. With the four cognitive variables and the WIF December intercept as predictors, 50.3% of the variance in fifth-grade reading comprehension was explained: 52.1% of this 50.3% was unique to the cognitive variables, 13.1% to the WIF December intercept, and 34.8% was shared. All five predictors were statistically significant. The same four cognitive variables with the May (rather than December) WIF intercept produced a model that explained 62.1% of the variance. Of this amount, the cognitive variables and May WIF intercept accounted for 34.5% and 27.7%, respectively; they shared 37.8%. All predictors in this model were statistically significant except RAN. Logistic regression analyses indicated that the accuracy with which the cognitive variables predicted end-of-fifth-grade RD status was 73.9%. The May WIF intercept contributed reliably to this prediction; the December WIF intercept did not. Results are discussed in terms of a role for cognitive abilities in identifying, classifying, and instructing students with severe reading problems.     

Article and book reading patterns of scholars: findings for publishers

Surveys of academic staff in six universities in the UK provide insights for publishers into scholarly article and book reading patterns of academics and differences based on personal characteristics of readers. These surveys were part of the 2011 UK Scholarly Reading and the Value of the Library Study funded by JISC Collections and based on studies conducted by Tenopir and King since 1977. Scholarly articles, especially those obtained from the library's e‐journal collections, are a vital part of academic work. Reading patterns of books are quite different than articles; books most often come from personal print collections. Book readings are still important for research and teaching, however, especially for humanists. Academics come into contact with multiple sources of information every day and therefore, convenience and easy access are important factors. Knowing more about academic reading patterns helps publishers and librarians design more effective journal systems and services now and into the future.     

Use of Logic Models to Plan and Assess Graduate Internship Experiences

A logic model is a type of map. What better use for a map than when charting a course through internship activities, observations, and projects. In addition to coping with the expectations of many different stakeholders, planners of internships face demands for meeting academic goals and juggling time schedules. Logic model maps provide guidance for staying on course while providing the needed rationales for all people participating in an internship project or program. Outcomes from the internship can be accurately assessed using the professional standards set in the model. One cannot argue with results that document positive impact on the learning community, which are more likely when following a logic model map that connects inputs to clearly defined outputs.     

The “right kind of telling”: knowledge building in the academic design studio

Studio-based instruction, as traditionally enacted in design disciplines such as architecture, product design, graphic design, and the like, consists of dedicated desk space for each student, extended time blocks allocated to studio classes, and classroom interactions characterized by independent and group work on design problems supplemented by frequent public and individual critiques. Although the surface features and pedagogy of the studio have been well-documented, relatively little attention has been paid to student and teacher participation structures through which design knowledge is co-produced among instructors and students within the studio. The purpose of this study was to investigate the nature of faculty?Cstudent interactions through which students learn to think and act as designers. To that end, we have collected and analyzed ethnographic data from five studio classrooms across three design disciplines (architecture, industrial design, and human?Ccomputer interaction). Our findings provide insight as to the ways that dialogue??the ??right kind of telling????and particular social practices in the studio support students as they learn to solve ill-structured design problems while being simultaneously inducted into practices that reflect the professional world of their discipline. In each of the studio classrooms, the instructors were able to create an environment where students and faculty practiced reflection-in-action and listening-in as a form of intentional participation, design knowledge was conveyed through modeling and meta-discussions, and focused assignments and in-progress critiques enhanced opportunities for the individual and group processes through which design knowledge was co-constructed in these studio classrooms.     

Diversity or Difference? New Research Supports the Case for a Cultural Perspective on Women in Computing

Gender difference approaches to the participation of women in computing have not provided adequate explanations for women??s declining interest in computer science (CS) and related technical fields. Indeed, the search for gender differences can work against diversity which we define as a cross-gender spectrum of characteristics, interests, abilities, experiences, beliefs and identities. Our ongoing case studies at Carnegie Mellon University (CMU) provide evidence to show that a focus on culture offers the most insightful and effective approach for investigating women??s participation in CS. In this paper, we illustrate this approach and show the significance of cultural factors by describing a new case study which examines the attitudes of CS majors at CMU. Our analysis found that most men and women felt comfortable in the school, believed they could be successful in the CS environment at CMU, and thought they fit in socially and academically. In brief, we did not see any evidence of a strong gender divide in student attitudes towards fitting in or feeling like they could be successful; indeed we found that the Women-CS fit remained strong from prior years. Hence, our research demonstrates that women, alongside their male peers, can fit successfully into a CS environment and help shape that environment and computing culture, for the benefit of everyone, without accommodating presumed gender differences or any compromises to academic integrity.     

A walk on the human performance side—Part 3

As in the first two parts of this series, Roger Addison and Carol Haig provide tools to help in the human performance side of work‐in this case, at the workplace/organization level. Improving performance at this level is driven by mapping the organization to show how it operates and aligns with the business environment. The authors offer the business logic model as one tool for creating an organizational map and provide suggestions for getting started.