Improving content area reading comprehension of Spanish speaking English learners in Grades 4 and 5 using web-based text structure instruction

Reading and comprehending content area texts is important for academic and professional success as well as life skills necessary to maintain good health and quality lifestyle. Spanish speaking English language learners have shown poor performance on high-stakes assessments in reading comprehension. The number of Spanish speaking English learners (ELs) in our schools continues to increase at a fast pace, and therefore it is imperative that we address their reading comprehension needs swiftly and effectively. The text structure strategy has shown positive results on comprehension outcomes in many research studies with students at Grades 2, 4, 5, and 7. This study is the first implementation of instruction about the text structure strategy expressly designed to accommodate the linguistic and comprehension needs of Spanish speaking ELs in Grades 4 and 5. Strategy instruction on the web for English learners (SWELL) was designed to deliver instruction about the text structure strategy to Spanish speaker English learners. A randomized controlled study with pre and post-tests was conducted with 14 classrooms at fourth-grade and 17 classrooms at fifth-grade in high poverty schools where over 85% of students were Spanish speaking bilinguals or ELs. Analysis of data using multi-level models show moderate to large-effects favoring the students in the SWELL classrooms over the business as usual control classrooms on important measures such as a standardized reading comprehension test and main idea and cloze tasks. This research has practical implications for the use of web-based tools to provide high-quality and supportive instruction to improve Spanish speaking ELs reading comprehension skills.     

Student,home, and school socio-demographic factors: links to school,home, and community arts participation

This study explored the role of student (e.g., age, language background, gender), home (e.g., parent/caregiver education), and school (e.g., school type, size) socio-demographic factors in students’ school (e.g., in-school arts tuition, arts engagement), home (e.g., parent/caregiver–child arts interaction), and community (e.g., arts attendance, arts tuition) arts participation. The sample comprised 1172 elementary and secondary school students from 15 schools. Findings revealed that student and home socio-demographic factors were the most salient in predicting arts participation across school, home, and community contexts. Age, gender, and prior achievement were the key student socio-demographic factors, while parent/caregiver education and occupation were also associated with students’ arts participation. Implications for practice and intervention pertinent to young people’s arts participation are discussed.     

Statistical learning of action: The role of conditional probability

Identification of distinct units within a continuous flow of human action is fundamental to action processing. Such segmentation may rest in part on statistical learning. In a series of four experiments, we examined what types of statistics people can use to segment a continuous stream involving many brief, goal-directed action elements. The results of Experiment 1 showed no evidence for sensitivity to conditional probability, whereas Experiment 2 displayed learning based on joint probability. In Experiment 3, we demonstrated that additional exposure to the input failed to engender sensitivity to conditional probability. However, the results of Experiment 4 showed that a subset of adults—namely, those more successful at identifying actions that had been seen more frequently than comparison sequences—were also successful at learning conditional-probability statistics. These experiments help to clarify the mechanisms subserving processing of intentional action, and they highlight important differences from, as well as similarities to, prior studies of statistical learning in other domains, including language.     

Hearing “Quack” and Remembering A Duck: Evidence for Fluency Attribution in Young Children

Previous research has suggested that fluency does not influence memory decisions until ages 7–8. In two experiments (n = 96 and n = 64, respectively), children, aged 4, 6, and 8 years (Experiments 1 and 2), and adults (Experiment 2) studied a list of pictures. Participants completed a recognition test during which each study item was preceded by a sound providing either a highly predictive or mildly predictive context in order to make some test items more conceptually fluent. Overall, highly predictive items were recognized at a higher rate than mildly predictive items demonstrating an earlier development of the fluency heuristic than previously observed. The study provides insight into how children develop metacognitive expectations and when they start to use them to guide their memory responses.     

Selection for special education services: the role of gender and socio-economic status

Children from some demographic groups disproportionately receive special education (SE) services. Due to methodological shortcoming in existing work, it remains unclear whether this is due to real differences in academic needs or cultural selection/bias. Hence, in a community sample of 1250 Norwegian children, we examined the role of third grade SE services, academic test scores, behavioural problems, and teacher’s level of helplessness in mediating the effect of family socio-economic status (SES) and students’ gender on fifth-grade SE services. Results revealed no direct effects of either gender or SES on fifth-grade SE, but four mediated pathways were identified: (1) Boys had a greater likelihood of receiving fifth-grade SE services when (a) they previously received SE and (b) they experienced more ADHD symptoms, both in third grade. (2) Students from low-SES families were more likely to receive SE services in fifth grade when (a) they performed poorly in math in third grade and (b) their teacher reported greater feelings of helplessness when teaching these students. The findings are discussed with respect to the differential-needs hypothesis, mechanisms of cultural selection and the possibility of gendered selection for SE at younger ages.     

Improving quality of the child care environment through a consultancy programme for centre directors

This study examined the effects of a newly developed on-site consultancy programme to improve global quality of the child care environment in non-parental child care centres for 0- to 4-year-old children as measured with the ITERS-R/ECERS-R. Using a randomised controlled trial with a pretest, posttest, and follow-up test, we compared 35 experimental group with 33 control group. The consultancy programme comprised three consultations in total. Analysis on the items that were specifically targeted during the consultancy showed a significant improvement on these targeted items between pretest and posttest and between posttest and follow-up. The effect of the consultancy programme on the total scores (including the non-targeted items) was not significant.     

Employment and Achievement in a Problem‐Based Curriculum

The purpose of this study is twofold: first, to examine to what extent the time students work on paid jobs is related to study‐time (class attendance and time devoted to self‐study) and second, to what extent the time students work on paid jobs is related to achievement. A number of 120 students from the problem‐based Faculty of Health Sciences in the Netherlands kept a time‐diary. Academic achievement was measured by using scores on the block‐test. The results showed that working about four to eight hours per week on paid jobs (as opposed to working less than four hours per week or to working intensively, more than 8 hours per week) actually is positively related to study‐time. Test‐scores are not significantly different among students who are not working on jobs, work some hours, or work a lot.     

Using a Problem-Solving Approach to Teach Classroom Skills to a Student with Moderate Intellectual Disabilities within Regular Classroom Settings

We examined the use of a problem-solving intervention to teach classroom skills to a student with moderate intellectual disabilities. She was receiving her education in regular classrooms at her local primary school. The student was taught the targeted skills in a resource room removed from the regular classroom. She successfully generalised the skills to regular classrooms. The problem-solving intervention was evaluated using a multiple baseline design across classrooms. Regular classroom teachers indicated that the student's behaviour significantly improved during the intervention.     

College Students’ Reasons for Depression Nondisclosure in Primary Care

Unwillingness to share depression experiences with primary care physicians contributes to the undertreatment of depression. This project examined college students’ reasons for depression nondisclosure to primary care providers (PCPs). Undergraduate participants read a vignette describing someone with depression and completed measures of disclosure barriers. Analyses indicated 26% of respondents would NOT disclose depression symptoms to PCPs. Reasons for nondisclosure included difficulty initiating the depression conversation, medication aversion, and fear of referral to a psychologist. Also, anger toward the vignette character varied with disclosure willingness, suggesting that nondisclosers feel more stigma than disclosers and are less likely to engage in psychotherapy. Because engagement in pharmacological and/or psychotherapeutic treatment requires identification of depression in healthcare settings, increased understanding of disclosure barriers could increase students’ access to depression treatment.     

WOMBAT A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood （REML）

WOMBAT is a software package for quantitative genetic analyses of continuous traits, fitting a linear, mixed model; estimates of covariance components and the resulting genetic parameters are obtained by restricted maximum likelihood. A wide range of models, comprising numerous traits, multiple fixed and random effects, selected genetic covariance structures, random regression models and reduced rank estimation are accommodated. WOMBAT employs up-to-date numerical and computational methods. Together with the use of efficient compilers, this generates fast executable programs, suitable for large scale analyses. Use of WOMBAT is illustrated for a bivariate analysis. The package consists of the executable program, available for LINUX and WINDOWS environments, manual and a set of worked example, and can be downloaded free of charge from http://agbu. une.edu.au/~kmeyer/wombat.html