Using Data-Based Instruction to Support Struggling Elementary Writers

2021 ◽  
pp. 105345122110148
Author(s):  
Apryl L. Poch ◽  
Abigail A. Allen ◽  
Pyung-Gang Jung ◽  
Erica S. Lembke ◽  
Kristen L. McMaster
Keyword(s):  
Systematic Approach ◽  
Emotional Disabilities ◽  
Written Expression ◽  
School Age Children ◽  
School Age ◽  
Life Skill ◽  
Assessment Data ◽  
Struggling Writers ◽  
Using Data ◽  
Based Instruction

Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as data-based instruction (DBI). This article presents an overview of DBI and guidance on how educators can use the DBI steps with assessment data to inform their classroom writing instruction. Additional resources are shared to support teachers in using DBI with their struggling writers and writers with learning and emotional disabilities.

scholarly journals On the relative role of different age groups during influenza A epidemics in Germany, 2002-2017

2017 ◽  
Author(s):  
Edward Goldstein
Keyword(s):  
Influenza A ◽  
Communicable Disease ◽  
Age Groups ◽  
School Age Children ◽  
Relative Role ◽  
School Age ◽  
Limited Information ◽  
School Students ◽  
Using Data

AbstractBackgroundThere is limited information about the role of different age groups, particularly subgroups of school-age children and younger adults in propagating influenza epidemics.MethodsFor a communicable disease outbreak, some subpopulations may play a disproportionate role during the ascent of the outbreak due to increased susceptibility and/or contact rates. Such subpopulations can be identified by considering the proportion that cases in a subpopulation represent among all cases in the population occurring before the epidemic peak (Bp), the corresponding proportion after the epidemic peak (Ap), to calculate the relative risk for a subpopulation, RR=Bp/Ap. We estimated RR for several age groups using data on reported influenza A cases in Germany between 2002-2017.ResultsChildren aged 14-17y had the highest RR estimates for 7 out of 15 influenza A epidemics in the data, including the 2009 pandemic, and the large 2016/17, 2008/09, and 2006/07 seasons. Children aged 10-13y had the highest RR estimates during 3 epidemics, including the large 2014/15 and 2004/05 seasons. Children aged 6-9y had the highest RR estimates during two epidemics, including the large 2012/13 season. Children aged 2-5y had the highest RR estimate during the moderate 2015/16 season; adults aged 18-24y had the highest RR estimate during the small 2005/06 season; adults aged 25-34y had the highest RR estimate during the large, 2002/03 season.ConclusionsOur results support the prominent role of all school-age children, particularly the oldest ones, in propagating influenza epidemics in the community. We note that national vaccination coverage levels among older school-age children were lower than among younger school-age children during the recent influenza seasons in the US, and influenza vaccination program in England has not been phased in yet for secondary school students.

Cognitive ability influences on written expression: Evidence for developmental and sex-based differences in school-age children

2018 ◽  
Vol 67 ◽  
pp. 104-118 ◽  
Author(s):  
Daniel B. Hajovsky ◽  
Ethan F. Villeneuve ◽  
Matthew R. Reynolds ◽  
Christopher R. Niileksela ◽  
Benjamin A. Mason ◽  
...  
Keyword(s):  
Cognitive Ability ◽  
Written Expression ◽  
School Age Children ◽  
School Age ◽  
Expression Evidence

scholarly journals Association between parents’ smoking status and tobacco exposure in school-age children: assessment using major urine biomarkers

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sung Hoon Jeong ◽  
Bich Na Jang ◽  
Soo Hyun Kang ◽  
Jae Hong Joo ◽  
Eun-Cheol Park
Keyword(s):  
Secondhand Smoke ◽  
Smoking Status ◽  
School Age Children ◽  
School Age ◽  
Tobacco Exposure ◽  
Health And Nutrition ◽  
Risk Of Exposure ◽  
Using Data ◽  
Free Environment ◽  
Exposure To Secondhand Smoke

AbstractChildren are at risk of exposure to secondhand smoke. We aimed to evaluate the extent of their exposure to it in relation to their parents’ smoking status by using biomarkers relevant to smoking. We evaluated 847 school-age children (6–12 years) who lived with their parents, using data from the Korea National Health and Nutrition Examination Survey 2016–2018. Secondhand smoke exposure in children of non-smoking and smoking parents was assessed by measuring urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and cotinine concentrations. Overall, the parents of 482 (55.1%) children smoked and those of 392 (44.9%) children did not smoke. After adjusting for covariates, significantly higher concentrations of NNAL (β = 0.482, standard error [S.E.] = 0.065, P < 0.001) and cotinine (β = 0.472, S.E. = 0.06, P < 0.001) were found in children of smoking parents than in children of non-smoking parents. Children of parents who smoked a higher number of cigarettes showed higher NNAL and cotinine concentrations than children of non-smoking parents. Children with both parents who smoked showed the highest NNAL and cotinine concentrations. Children of smoking parents are at a higher risk of exposure to secondhand smoke. A smoke-free environment must be maintained to protect children from the harmful effects of secondhand smoke. Therefore, comprehensive national anti-smoking policies are required.

scholarly journals Association Between Parents’ Smoking Status and Tobacco Exposure in School-Age Children: Assessment Using Major Urine Biomarkers

2020 ◽  
Author(s):  
Sung Hoon Jeong ◽  
Bich Na Jang ◽  
Soo Hyun Kang ◽  
Jae Hong Joo ◽  
Eun-Cheol Park
Keyword(s):  
Secondhand Smoke ◽  
Smoking Status ◽  
School Age Children ◽  
School Age ◽  
Tobacco Exposure ◽  
Health And Nutrition ◽  
Risk Of Exposure ◽  
Using Data ◽  
Free Environment ◽  
Exposure To Secondhand Smoke

Abstract Children are at risk of exposure to secondhand smoke. We aimed to evaluate the extent of their exposure to it in relation to their parents’ smoking status by using biomarkers relevant to smoking. We evaluated 847 school-age children (6–12 years) who lived with their parents, using data from the Korea National Health and Nutrition Examination Survey 2016–2018. Secondhand smoke exposure in children of non-smoking and smoking parents was assessed by measuring urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and cotinine concentrations. Overall, the parents of 482 (55.1%) children smoked and those of 392 (44.9%) children did not smoke. After adjusting for covariates, significantly higher concentrations of NNAL (β=0.482, standard error [S.E.]=0.065, P<0.001) and cotinine (β=0.472, S.E.=0.06, P<0.001) were found in children of smoking parents than in children of non-smoking parents. Children of parents who smoked a higher number of cigarettes showed higher NNAL and cotinine concentrations than children of non-smoking parents. Children with both parents who smoked showed the highest NNAL and cotinine concentrations. Children of smoking parents are at a higher risk of exposure to secondhand smoke. A smoke-free environment must be maintained to protect children from the harmful effects of secondhand smoke. Therefore, comprehensive national anti-smoking policies are required.

scholarly journals Determinants of iron status and Hb in the Bangladesh population: the role of groundwater iron

2016 ◽  
Vol 19 (10) ◽  
pp. 1862-1874 ◽  
Author(s):  
Sabuktagin Rahman ◽  
Tahmeed Ahmed ◽  
Ahmed Shafiqur Rahman ◽  
Nurul Alam ◽  
AM Shamsir Ahmed ◽  
...  
Keyword(s):  
Iron Status ◽  
Cross Sectional Study ◽  
Fe Deficiency ◽  
School Age Children ◽  
School Age ◽  
Cross Sectional ◽  
Lactating Women ◽  
Using Data ◽  
National Prevalence

AbstractObjectiveUsing data from the national micronutrients survey 2011–2012, the present study explored the determinants of Fe status and Hb levels in Bangladesh with a particular focus on groundwater Fe.DesignCross-sectional study conducted at the nationwide scale.SettingsThe survey was conducted in 150 clusters, fifty in each of the three strata of rural, urban and slum.SubjectsThree population groups: pre-school age children (6–59 months; PSAC), school age children (6–14 years; SAC) and non-pregnant non-lactating women (15–49 years; NPNLW).ResultsNational prevalence of Fe deficiency was 10·7 %, 7·1 % and 3·9–9·5 % in PSAC, NPNLW and SAC, respectively. Prevalence of anaemia was 33·1 % (PSAC), 26·0 % (NPNLW) and 17·1–19·1 % (SAC). Multivariate regression analyses showed that the area with ‘predominantly high groundwater Fe’ was a determinant of higher serum ferritin levels in NPNLW (standardized β=0·19; P=0·03), SAC (standardized β=0·22; P=0·01) and PSAC (standardized β=0·20; P=0·03). This area also determined higher levels of Hb in PSAC (standardized β=0·14; P=0·01).ConclusionsNational prevalence of Fe deficiency in Bangladesh is low, contrary to the widely held assumption. High Fe level in groundwater is associated with higher Fe status (all populations) and higher Hb level (PSAC).

A Therapeutic Technique for the Improvement of Lingua-Alveolar Valving Abilities

1978 ◽  
Vol 9 (3) ◽  
pp. 169-175 ◽  
Author(s):  
James Paul Dworkin
Keyword(s):  
School Age Children ◽  
School Age ◽  
Bite Block ◽  
Therapeutic Technique ◽  
Remedial Program

This study was designed to determine if a remedial program using a bite-block device could inhibit hypermandibular activity (HMA) and thereby improve the lingua-alveolar valving (LAV) abilities of four school-age children who demonstrated multiple lingua-alveolar (LA) phonemic errors. The results revealed significant improvements in LAV and LA phoneme articulatory skills in all of the children who used the bite-block device to reduce HMA subsequent to comprehensive training sessions.

Dimensions of Multiskilling

1999 ◽  
Vol 30 (1) ◽  
pp. 4-10 ◽  
Author(s):  
Carole E. Johnson
Keyword(s):  
Hearing Loss ◽  
Service Delivery ◽  
Monitoring Program ◽  
School Age Children ◽  
School Age ◽  
Support Personnel ◽  
Educational Personnel ◽  
Educational Audiology ◽  
Children With Hearing Loss ◽  
Improve Service Delivery

Educational audiologists often must delegate certain tasks to other educational personnel who function as support personnel and need training in order to perform assigned tasks. Support personnel are people who, after appropriate training, perform tasks that are prescribed, directed, and supervised by a professional such as a certified and licensed audiologist. The training of support personnel to perform tasks that are typically performed by those in other disciplines is calledmultiskilling. This article discusses multiskilling and the use of support personnel in educational audiology in reference to the following principles: guidelines, models of multiskilling, components of successful multiskilling, and "dos and don’ts" for multiskilling. These principles are illustrated through the use of multiskilling in the establishment of a hearing aid monitoring program. Successful multiskilling and the use of support personnel by educational audiologists can improve service delivery to school-age children with hearing loss.

Perceptions of Stuttering of Different Age Groups

2019 ◽  
Vol 4 (6) ◽  
pp. 1311-1315
Author(s):  
Sergey M. Kondrashov ◽  
John A. Tetnowski
Keyword(s):  
Age Groups ◽  
School Age Children ◽  
Clinical Implications ◽  
School Age ◽  
Fourth Edition ◽  
Self Perception ◽  
Behavioral Measures ◽  
Self Rating ◽  
Comparison Results ◽  
Subject Pool

Purpose The purpose of this study was to assess the perceptions of stuttering of school-age children who stutter and those of adults who stutter through the use of the same tools that could be commonly used by clinicians. Method Twenty-three participants across various ages and stuttering severity were administered both the Stuttering Severity Instrument–Fourth Edition (SSI-4; Riley, 2009 ) and the Wright & Ayre Stuttering Self-Rating Profile ( Wright & Ayre, 2000 ). Comparisons were made between severity of behavioral measures of stuttering made by the SSI-4 and by age (child/adult). Results Significant differences were obtained for the age comparison but not for the severity comparison. Results are explained in terms of the correlation between severity equivalents of the SSI-4 and the Wright & Ayre Stuttering Self-Rating Profile scores, with clinical implications justifying multi-aspect assessment. Conclusions Clinical implications indicate that self-perception and impact of stuttering must not be assumed and should be evaluated for individual participants. Research implications include further study with a larger subject pool and various levels of stuttering severity.

The Speech-Language Pathologists' Role in Mild Traumatic Brain Injury for Middle and High School–Age Children: Viewpoints on Guidelines From the Centers for Disease Control and Prevention

2019 ◽  
Vol 28 (3) ◽  
pp. 1363-1370 ◽  
Author(s):  
Jessica Brown ◽  
Katy O'Brien ◽  
Kelly Knollman-Porter ◽  
Tracey Wallace
Keyword(s):  
High School ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Disease Control ◽  
Mild Traumatic Brain Injury ◽  
School Age Children ◽  
School Age ◽  
Speech Language Pathologists ◽  
Control And Prevention ◽  
Centers For Disease Control

Purpose The Centers for Disease Control and Prevention (CDC) recently released guidelines for rehabilitation professionals regarding the care of children with mild traumatic brain injury (mTBI). Given that mTBI impacts millions of children each year and can be particularly detrimental to children in middle and high school age groups, access to universal recommendations for management of postinjury symptoms is ideal. Method This viewpoint article examines the CDC guidelines and applies these recommendations directly to speech-language pathology practices. In particular, education, assessment, treatment, team management, and ongoing monitoring are discussed. In addition, suggested timelines regarding implementation of services by speech-language pathologists (SLPs) are provided. Specific focus is placed on adolescents (i.e., middle and high school–age children). Results SLPs are critical members of the rehabilitation team working with children with mTBI and should be involved in education, symptom monitoring, and assessment early in the recovery process. SLPs can also provide unique insight into the cognitive and linguistic challenges of these students and can serve to bridge the gap among rehabilitation and school-based professionals, the adolescent with brain injury, and their parents. Conclusion The guidelines provided by the CDC, along with evidence from the field of speech pathology, can guide SLPs to advocate for involvement in the care of adolescents with mTBI. More research is needed to enhance the evidence base for direct assessment and treatment with this population; however, SLPs can use their extensive knowledge and experience working with individuals with traumatic brain injury as a starting point for post-mTBI care.

Assessing Functional Language in School-Aged Children Using Language Sample Analysis

2020 ◽  
Vol 5 (3) ◽  
pp. 622-636
Author(s):  
John Heilmann ◽  
Alexander Tucci ◽  
Elena Plante ◽  
Jon F. Miller
Keyword(s):  
Computer Hardware ◽  
School Age Children ◽  
Functional Language ◽  
School Age ◽  
Clinical Use ◽  
Sample Analysis ◽  
Validity And Reliability ◽  
Language Sample Analysis ◽  
Accuracy And Repeatability ◽  
Language Sample

Purpose The goal of this clinical focus article is to illustrate how speech-language pathologists can document the functional language of school-age children using language sample analysis (LSA). Advances in computer hardware and software are detailed making LSA more accessible for clinical use. Method This clinical focus article illustrates how documenting school-age student's communicative functioning is central to comprehensive assessment and how using LSA can meet multiple needs within this assessment. LSA can document students' meaningful participation in their daily life through assessment of their language used during everyday tasks. The many advances in computerized LSA are detailed with a primary focus on the Systematic Analysis of Language Transcripts (Miller & Iglesias, 2019). The LSA process is reviewed detailing the steps necessary for computers to calculate word, morpheme, utterance, and discourse features of functional language. Conclusion These advances in computer technology and software development have made LSA clinically feasible through standardized elicitation and transcription methods that improve accuracy and repeatability. In addition to improved accuracy, validity, and reliability of LSA, databases of typical speakers to document status and automated report writing more than justify the time required. Software now provides many innovations that make LSA simpler and more accessible for clinical use. Supplemental Material https://doi.org/10.23641/asha.12456719

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