National Assessment Program Literacy Research Articles

School performance in children with prenatal drug exposure and out-of-home care in NSW, Australia: a retrospective population-based cohort study.

Prenatal drug exposure (PDE) is a global public health problem that is strongly associated with the need for child protection services, including placement into out-of-home care (OOHC). We aimed to assess school outcomes for children with PDE (both with and without neonatal abstinence syndrome [NAS]) and the association of school performance with OOHC. Using linked population health, OOHC, and school test data, we compared results on the Australian standardised curriculum-based test, the National Assessment Program-Literacy and Numeracy (NAPLAN), for children with PDE who were born in New South Wales (NSW) between 2001 and 2020 and had completed at least one NAPLAN test between Jan 1, 2008, and June 30, 2021, administered in Year 3 (age 8-9 years), Year 5 (age 10-11 years), Year 7 (age 12-13 years), or Year 9 (age 14-15 years). Linked datasets included NSW Perinatal Data Collection (birth data), NSW Admitted Patient Data Collection (hospital diagnoses), NSW Education Standards Authority (NAPLAN scores), NSW Family and Community Services Dataset-KiDS Data Collection (OOHC information), NSW Mental Health Ambulatory Data Collection, and NSW Registry for Births, Deaths, and Marriages. The primary outcome was scoring above or below the National Minimum Standard (NMS) in any test domain (mathematics, language, writing, and spelling) at each year level, comparing the relative risk of scoring below NMS between children with and without PDE (and with or without NAS within the PDE group), and with and without OOHC contact. The association between OOHC on the likelihood of scoring above NMS was also investigated for PDE and non-PDE cohorts. The PDE cohort included 3836 children, and the non-PDE cohort included 897 487 children. Within the PDE cohort, 3192 children had a NAS diagnosis and 644 children had no NAS diagnosis. 1755 (45·8%) children with PDE required OOHC compared with 12 880 (1·4%) of 897 487 children without PDE. Children with PDE were more likely than children without PDE to score below NMS in any domain from Year 3 (risk ratio 2·72 [95% CI 2·58-2·76]) to Year 9 (2·36 [2·22-2·50]). Performance was similar regardless of a NAS diagnosis (Year 3: 0·96 [0·84-1·10]; Year 9: 0·98 [0·84-1·15]). The likelihood of scoring above NMS in Year 9 was reduced for children with PDE and without NAS (0·57 [0·45-0·73]) and NAS (0·58 [0·52-0·64]) compared with those without PDE, and also for children who received OOHC (0·60 [0·57-0·64]) compared with those without OOHC, when adjusted for confounders. Among children with PDE, those receiving OOHC had a similar likelihood of scoring above NMS compared with children who did not receive OOHC, from Year 3 (1·01 [0·92-1·11]) to Year 9 (0·90 [0·73-1·10]), when adjusted for confounding factors. By contrast, among children without PDE, those receiving OOHC were less likely to score above NMS than those who did not receive OOHC, from Year 3 (0·78 [0·76-0·80]) to Year 9 (0·58 [0·54-0·61]). Compared with children without PDE, school performance in children with PDE-regardless of whether they were diagnosed with NAS-is poor, and the gap widens with age. The risk of poor performance persists regardless of OOHC status. This finding underscores the need for all children with PDE to receive long-term, culturally sensitive, and proactive support to improve life success. SPHERE Mindgardens Neuroscience Network, Australian Red Cross, Alpha Maxx Healthcare, Centre for Research Excellence for Integrated Health and Social Care, National Health and Medical Research Council, and University of Sydney.

Educational Outcomes for Children at 7 to 9 Years of Age After Birth at 39 vs 40 to 42 Weeks’ Gestation

Birth at 39 weeks' gestation is common and thought to be safe for mother and neonate. However, findings of long-term outcomes for children born at this gestational age have been conflicting. To evaluate the association of birth at 39 weeks' gestation with childhood numeracy and literacy scores at ages 7 to 9 years compared with birth at 40 to 42 weeks' gestation. In this Australian statewide, population-based cohort study using a causal inference framework based on target trial emulation, perinatal data on births between January 1, 2005, and December 31, 2011, were linked to educational outcomes at 7 to 9 years of age. Statistical analyses were performed from December 2022 to June 2023. Birth at 39 weeks' gestation compared with birth at 40 to 42 weeks' gestation. Numeracy and literacy outcomes were assessed at 7 to 9 years of age using Australian National Assessment Program-Literacy and Numeracy data and defined by overall z score across 5 domains (grammar and punctuation, reading, writing, spelling, and numeracy). Multiple imputation and doubly robust inverse probability weighted regression adjustment were used to estimate population average causal effects. The study population included 155 575 children. Of these children, 49 456 (31.8%; 24 952 boys [50.5%]) were born at 39 weeks' gestation and were compared with 106 119 (68.2%; 52 083 boys [49.1%]) born at 40 to 42 weeks' gestation. Birth at 39 weeks' gestation was not associated with altered educational outcomes for children aged 7 to 9 years compared with their peers born at 40 to 42 weeks' gestation (mean [SE] z score, 0.0008 [0.0019] vs -0.0031 [0.0038]; adjusted risk difference, -0.004 [95% CI, -0.015 to 0.007]). Each educational domain was investigated, and no significant difference was found in grammar and punctuation (risk difference [RD], -0.006 [95% CI, -0.016 to 0.005]), numeracy (RD, -0.009 [95% CI, -0.020 to 0.001]), spelling (RD, 0.001 [95% CI, -0.011 to 0.0013]), reading (RD, -0.008 [95% CI, -0.019 to 0.003]), or writing (RD, 0.006 [95% CI, -0.005 to 0.016]) scores for children born at 39 weeks' gestation compared with those born at 40 to 42 weeks' gestation. Birth at 39 weeks' gestation also did not increase the risk of scoring below national minimum standards in any of the 5 tested domains. Using data from a statewide linkage study to emulate the results of a target randomized clinical trial, this study suggests that there is no evidence of an association of birth at 39 weeks' gestation with numeracy and literacy outcomes for children aged 7 to 9 years.

The influence of students’ prior numeracy achievement on later numeracy achievement as a function of gender and year levels

AbstractStudents’ prior achievements in school have significant correlations with their later achievements. Specifically, students’ prior numeracy achievement is the most important predictor of later numeracy success. However, the assessment of this predictor across gender and its trend across students’ year levels is often overlooked or not adequately investigated. This study examined the relationships between prior numeracy achievement and its influence on students’ later numeracy achievement across gender. A focus on students’ year level also supported this examination. The data source was the Australian National Assessment Program—Literacy and Numeracy (NAPLAN) numeracy results of Years 5, 7 and 9 students (ages 9 to 14) from the 2017 to 2021 test years. The NAPLAN numeracy scores were analysed using regression analysis. The author examined prior numeracy achievement to determine the predictive value for students’ numeracy performance in NAPLAN across students’ year levels and gender. Findings from this study indicate that prior NAPLAN numeracy results for students were found to be very large in its predictive value (between R2 = .591 and .747) across the year levels. Notably, the predictive value showed an increasing pattern as students progressed through their academic years. Additionally, the study observed a discernible influence of gender on the predictive value of prior numeracy results. Potential initiatives to assist the educational outcomes of students across gender are discussed. Awareness of the influence of numeracy performance across gender might help teachers and educators create better and more efficient mathematics programs and targeted interventions. Such a decision requires identifying the relevant factors and measuring their degree of influence across students’ year levels and gender.

Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study

PurposeWhilst survival in paediatric critical care has improved, clinicians lack tools capable of predicting long-term outcomes. We developed a machine learning model to predict poor school outcomes in children surviving intensive care unit (ICU).MethodsPopulation-based study of children < 16 years requiring ICU admission in Queensland, Australia, between 1997 and 2019. Failure to meet the National Minimum Standard (NMS) in the National Assessment Program-Literacy and Numeracy (NAPLAN) assessment during primary and secondary school was the primary outcome. Routine ICU information was used to train machine learning classifiers. Models were trained, validated and tested using stratified nested cross-validation.Results13,957 childhood ICU survivors with 37,200 corresponding NAPLAN tests after a median follow-up duration of 6 years were included. 14.7%, 17%, 15.6% and 16.6% failed to meet NMS in school grades 3, 5, 7 and 9. The model demonstrated an Area Under the Receiver Operating Characteristic curve (AUROC) of 0.8 (standard deviation SD, 0.01), with 51% specificity to reach 85% sensitivity [relative Area Under the Precision Recall Curve (rel-AUPRC) 3.42, SD 0.06]. Socio-economic status, illness severity, and neurological, congenital, and genetic disorders contributed most to the predictions. In children with no comorbidities admitted between 2009 and 2019, the model achieved a AUROC of 0.77 (SD 0.03) and a rel-AUPRC of 3.31 (SD 0.42).ConclusionsA machine learning model using data available at time of ICU discharge predicted failure to meet minimum educational requirements at school age. Implementation of this prediction tool could assist in prioritizing patients for follow-up and targeting of rehabilitative measures.

The Fallacy of Using the National Assessment Program–Literacy and Numeracy (NAPLAN) Data to Identify Australian High-Potential Gifted Students

In Australia, gifted or talented students are defined according to the widely accepted model proposed by Gagné, where giftedness is understood as potential, and talent is shown through competencies (or achievements); in this definition there is a clear differentiation between the two constructs. Most Australian education jurisdictions espouse Gagné’s definitions and use a variety of mechanisms for identifying gifted and talented students—a commonly used identification practice is the results from the Australian National Assessment Program–Literacy and Numeracy (NAPLAN) test. This article sets out to explore the fallacy of using the NAPLAN results to identify giftedness in high-potential (gifted) students in Australia, outlining key reasons why the NAPLAN is unsuitable as an identification instrument for giftedness. Moreover, it explores the erroneous use of the NAPLAN as an identification tool for giftedness when it was never designed, validated, or intended as such an instrument.

Evaluating the impact of Hazelwood mine fire event on students' educational development with Bayesian interrupted time-series hierarchical meta-regression.

Environmental disasters such as wildfires, floods and droughts can introduce significant interruptions and trauma to impacted communities. Children and young people can be disproportionately affected with additional educational disruptions. However, evaluating the impact of disasters is challenging due to difficulties in establishing studies and recruitment post-disasters. We aimed to (1) develop a Bayesian model using aggregated school-level data to evaluate the impact of environmental disasters on academic achievement and (2) evaluate the impact of the 2014 Hazelwood mine fire (a six-week fire event in Australia). Bayesian hierarchical meta-regression was developed to evaluate the impact of the mine fire using easily accessible aggregated school-level data from the standardised National Assessment Program-Literacy and Numeracy (NAPLAN) test. NAPLAN results and school characteristics (2008-2018) from 69 primary/secondary schools with different levels of mine fire-related smoke exposure were used to estimate the impact of the event. Using an interrupted time series design, the model estimated immediate effects and post-interruption trend differences with full Bayesian statistical inference. Major academic interruptions across NAPLAN domains were evident in high exposure schools in the year post-mine fire (greatest interruption in Writing: 11.09 [95%CI: 3.16-18.93], lowest interruption in Reading: 8.34 [95%CI: 1.07-15.51]). The interruption was comparable to a four to a five-month delay in educational attainment and had not fully recovered after several years. Considerable academic delays were found as a result of a mine fire, highlighting the need to provide educational and community-based supports in response to future events. Importantly, this work provides a statistical method using readily available aggregated data to assess the educational impacts in response to other environmental disasters.

The substantiveness of socioeconomic school compositional effects in Australia: measurement error and the relationship with academic composition

This study examines the effect of school socioeconomic composition on student achievement growth in Australian schooling, and its relationship with academic composition utilising the National Assessment Program—Literacy and Numeracy (NAPLAN) dataset. Previous research has found that school composition predicts a range of schooling outcomes. A critique of school compositional research has been that measurement error may have biased findings of compositional effects. Prior studies have found that socioeconomic compositional effect sizes are small when models include academic composition. The relationship between socioeconomic and academic compositions has yet to be fully determined. Multi-level regressions and structural equation models were compared to estimate the degree of bias in socioeconomic compositional effects due to measurement error. Multi-level path models were used to test if academic composition mediated the relationship between socioeconomic composition and achievement growth. The results showed that measurement error did not bias compositional effects in the dataset, and academic composition mediates the relationship between socioeconomic composition and achievement growth. We argue that school value-add research should include academic composition to account for contextual effects. The socioeconomic compositional effect is of practical significance to policy makers and educational researchers due to its relative size compared to average student achievement growth. Potential reforms include ensuring public subsidies to private schools in Australia do not increase school segregation and the amelioration of the effects of residential segregation through school funding reforms.

The CLASS Study (Circadian Light in Adolescence, Sleep and School): protocol for a prospective, longitudinal cohort to assess sleep, light, circadian timing and academic performance in adolescence.

BackgroundDuring adolescence, sleep and circadian timing shift later, contributing to restricted sleep duration and irregular sleep-wake patterns. The association of these developmental changes in sleep and circadian timing with cognitive functioning, and consequently academic outcomes, has not been examined prospectively. The role of ambient light exposure in these developmental changes is also not well understood. Here, we describe the protocol for the Circadian Light in Adolescence, Sleep and School (CLASS) Study that will use a longitudinal design to examine the associations of sleep-wake timing, circadian timing and light exposure with academic performance and sleepiness during a critical stage of development. We also describe protocol adaptations to enable remote data collection when required during the COVID-19 pandemic.MethodsApproximately 220 healthy adolescents aged 12–13 years (school Year 7) will be recruited from the general community in Melbourne, Australia. Participants will be monitored at five 6 monthly time points over 2 years. Sleep and light exposure will be assessed for 2 weeks during the school term, every 6 months, along with self-report questionnaires of daytime sleepiness. Circadian phase will be measured via dim light melatonin onset once each year. Academic performance will be measured via national standardised testing (National Assessment Program-Literacy and Numeracy) and the Wechsler Individual Achievement Test—Australian and New Zealand Standardised Third Edition in school Years 7 and 9. Secondary outcomes, including symptoms of depression, anxiety and sleep disorders, will be measured via questionnaires.DiscussionThe CLASS Study will enable a comprehensive longitudinal assessment of changes in sleep-wake timing, circadian phase, light exposure and academic performance across a key developmental stage in adolescence. Findings may inform policies and intervention strategies for secondary school-aged adolescents.Ethics and disseminationEthical approval was obtained by the Monash University Human Research Ethics Committee and the Victorian Department of Education. Dissemination plans include scientific publications, scientific conferences, via stakeholders including schools and media.Study datesRecruitment occurred between October 2019 and September 2021, data collection from 2019 to 2023.

Impact of teachers’ professional learning on students’ learning of multiplicative thinking

The shift from additive to multiplicative thinking is challenging for students. A professional learning program was developed that focused on an identified area of need by teachers, namely multiplicative thinking. Program content focused on concepts underpinning multiplicative thinking, pedagogical approaches, challenging tasks, and application to classroom practice. It was delivered via six 90-min modules in 13 participating schools across terms 2–4, as part of regular after school professional learning. Whilst all staff participated, the research focus was year 3–4 teachers. Students’ historical data were collected across four years (2016–2019) to determine mean growth over time, in participating and non-participating schools. National Assessment Program Literacy and Numeracy (NAPLAN) and Mathematics Assessment Interview (MAI) data were used to determine the impact of the learning, as both assessments are administered annually. Analysis of year 4 students’ longitudinal data showed greater mean growth in student learning over a 2-year period in schools involved in the learning and additional in-class coaching support, than students in non-participating schools. Our findings showed that targeted school-based professional learning, with in-class support from a knowledgeable other, leads to teachers’ improved understanding of multiplicative thinking and subsequent pedagogical content knowledge to support student learning.

Educational Outcomes of Childhood Survivors of Critical Illness-A Population-Based Linkage Study.

OBJECTIVES:Major postintensive care sequelae affect up to one in three adult survivors of critical illness. Large cohorts on educational outcomes after pediatric intensive care are lacking. We assessed primary school educational outcomes in a statewide cohort of children who survived PICU during childhood.DESIGN:Multicenter population-based study on children less than 5 years admitted to PICU. Using the National Assessment Program—Literacy and Numeracy database, the primary outcome was educational achievement below the National Minimum Standard (NMS) in year 3 of primary school. Cases were compared with controls matched for calendar year, grade, birth cohort, sex, socioeconomic status, Aboriginal and Torres Strait Islander status, and school. Multivariable logistic regression models to predict educational outcomes were derived.SETTING:Tertiary PICUs and mixed ICUs in Queensland, Australia.PATIENTS:Children less than 5 years admitted to PICU between 1998 and 2016.INTERVENTIONS:Not applicable.MEASUREMENTS AND MAIN RESULTS:Year 3 primary school data were available for 5,017 PICU survivors (median age, 8.0 mo at first PICU admission; interquartile range, 1.9–25.2). PICU survivors scored significantly lower than controls across each domain (p < 0.001); 14.03% of PICU survivors did not meet the NMS compared with 8.96% of matched controls (p < 0.001). In multivariate analyses, socioeconomic status (odds ratio, 2.14; 95% CI, 1.67–2.74), weight (0.94; 0.90–0.97), logit of Pediatric Index of Mortality-2 score (1.11; 1.03–1.19), presence of a syndrome (11.58; 8.87–15.11), prematurity (1.54; 1.09–2.19), chronic neurologic conditions (4.38; 3.27–5.87), chronic respiratory conditions (1.65; 1.24–2.19), and continuous renal replacement therapy (4.20; 1.40–12.55) were independently associated with a higher risk of not meeting the NMS.CONCLUSIONS:In this population-based study of childhood PICU survivors, 14.03% did not meet NMSs in the standardized primary school assessment. Socioeconomic status, underlying diseases, and severity on presentation allow risk-stratification to identify children most likely to benefit from individual follow-up and support.

Children with Secondary Care Episodes for Otitis Media Have Poor Literacy and Numeracy Outcomes: A Data Linkage Study.

We examined the association between otitis media (OM) and educational attainment in a retrospective population cohort of Western Australian children who participated in the grade 3 National Assessment Program—Literacy and Numeracy in 2012 (N = 19,262). Literacy and numeracy scores were linked to administrative hospital and emergency department data to identify secondary care episodes for OM. Results of multivariate multilevel models showed that children with OM episodes had increased odds of poor performance on literacy and numeracy tests, compared to children without OM episodes (46–79% increase in odds for Aboriginal children; 20–31% increase in odds for non-Aboriginal children). There were no significant effects found for age at the first episode, nor for OM episode frequency (all ps > 0.05). Regardless of the timing or frequency of episodes, children with OM episodes are at risk of poor literacy and numeracy attainment. Aboriginal children with OM appeared to be particularly at risk of poor literacy and numeracy achievement. Intervention to reduce the prevalence of otitis media in young children, and early treatment of OM, are important for limiting the negative effects on academic outcomes.

School academic performance of children hospitalised with a chronic condition

ObjectiveTo examine academic outcomes among children hospitalised with a chronic health condition.DesignPopulation-level birth cohort.SettingNew South Wales, Australia.Participants397 169 children born 2000–2006 followed up to 2014.Intervention/exposureHospitalisations with a chronic condition.Main outcome...

844Considering child maltreatment in social inequalities of educational achievement: a whole-of-population data linkage study

Abstract Background Strategies aimed at reducing health inequalities include a focus on improving education, a key determinant of health and labour market outcomes. Studies have demonstrated that both early life socioeconomic disadvantage and child maltreatment result in poorer educational outcomes, but have not examined the effect of the combination of these adversities. Methods This study used de-identified, linked government administrative data from the South Australian Early Childhood Data Project on children born in South Australia who completed Year 5 National Assessment Program—Literacy and Numeracy (NAPLAN) during 2008-2015 (n = 61,445), and their corresponding birth, perinatal, school enrolment and child protection system data. Results Overall, 23.7% (95% CI 23.4-24.1) had a poor NAPLAN outcome (at or below national minimum standard on three or more of the five domains - reading, writing, spelling, grammar and punctuation, numeracy). This proportion was approximately double for children who experienced substantiated maltreatment compared to children who did not experience contact with the child protection system, irrespective of the social circumstances (parental education, employment, housing and area-level disadvantage) in which the child lived. Conclusions Social advantage is not sufficient to protect children from poor educational outcomes if they experience substantiated maltreatment. Interventions and services will need to focus on child maltreatment, in addition to socioeconomic factors, to improve educational outcomes in the population. Key messages Within each social group, from advantaged to disadvantaged children, the risk of poor NAPLAN outcomes was greater for children who had contact with the child protection system.

Prenatal cannabis use disorders and offspring primary and secondary educational outcomes.

Cannabis use is increasing among women of reproductive age, warranting a greater understanding of the impact of prenatal cannabis use on offspring developmental outcomes. We tested for a potential relationship between prenatal cannabis use disorders (CUD) and offspring educational outcomes across primary and secondary school. Data were drawn from the New South Wales (NSW) Perinatal Data Collection, which included all live births in the Australian state of NSW between January 2003 and December 2005. These were linked with the NSW Admitted Patient Data collection for mothers and offspring, and the NSW National Assessment Program-Literacy and Numeracy (NAPLAN). New South Wales, Australia. A total of 189 558 offspring who completed the NAPLAN in grades 3, 5 and 7 (resulting in 568 674 examination periods). The exposure variable was ICD-10 cannabis use disorders (CUD=F13.0-F13.9). The study included five outcome variables measured at three time-points as not meeting the minimum national standards for: (i) numeracy, (ii) reading, (iii) spelling, (iv) writing and (v) grammar and punctuation. In unadjusted analyses, prenatal CUD was associated with an increased risk for not meeting the national minimum standard of all outcomes [odds ratios (OR) ranging from 3.42 (95% confidence interval (CI)=2.94, 3.99) to 4.17 (95% CI=3.55, 4.91)], with no evidence for an interaction across time. However, the associations attenuated greatly after exact matching by covariates, with reading and numeracy no longer associated with prenatal CUD, while the increased risk of the other outcomes ranged from OR=1.31 (95% CI=1.09, 1.57) to OR=1.40 (95% CI=1.17, 1.68). Socio-economic status appears to confound the association between prenatal cannabis use disorder and poor educational performance in offspring.

Perinatal and Child Factors Mediate the Association between Preeclampsia and Offspring School Performance

To determine whether maternal preeclampsia is an independent risk factor for poorer academic school performance in offspring, taking into account important perinatal and child factors. A population-based cohort study using record-linkage of state-wide data was undertaken. We evaluated children born at 28+ weeks of gestation in New South Wales, Australia who had grade 3 record-linked education outcomes via the National Assessment Program-Literacy and Numeracy (NAPLAN) between 2009 and 2014. Children with in utero preeclampsia exposure were compared with those without exposure. Robust multivariable Poisson models were used to determine adjusted relative risks. Crude models demonstrated an increased risk of scoring below the national minimal standard in all 5 domains (reading, writing, spelling, grammar and punctuation, and numeracy) for children exposed to preeclampsia, ranging from a relative risk (RR) of 1.13 (95% CI, 1.04-1.24) for reading to 1.19 (95% CI, 1.09-1.30) for numeracy. These differences were attenuated once adjusted for perinatal and child factors (RR, 1.07 [95% CI, 0.97-1.18] to 1.11 (95% CI, 0.99-1.22]), with combined perinatal and childhood factors mediating between 35.7% (writing) to 55.1% (spelling) of the association. Gestational age at birth was the most important perinatal factor, explaining 10.5% (grammar and punctuation) to 20.6% (writing) of the association between preeclampsia and poor school performance, followed by small for gestational age. The poorer educational performance experienced by children born to women with preeclampsia appears largely attributable to perinatal and childhood factors, suggesting an opportunity to improve school performance in children exposed to preeclampsia by optimizing these perinatal factors, particularly gestational age at birth.

Elective labor induction vs expectant management of pregnant women at term and children's educational outcomes at 8 years of age

To estimate the effect of elective induction of labor at 39 weeks' gestation on children's educational outcomes as measured using the Australian National Assessment Program-Literacy and Numeracy (NAPLAN) tests in school year 3 (∼8 years of age), compared with expectant management. We merged perinatal data on all infants born in South Australia from 1999 to 2008 with children's school assessment data from NAPLAN. The study population included all singleton infants born without a malformation at 39-42 weeks in vertex presentation. Children who had undertaken the NAPLAN test in school year 3 were included. We excluded births to women who had a contraindication to vaginal delivery and those with a condition possibly justifying elective delivery before 39 weeks. The outcome of interest was children's educational outcome as measured using NAPLAN, which includes five learning domains (reading, writing, spelling, grammar and numeracy). Each domain was categorized according to performance at or below vs above the national minimum standard (NMS). Average treatment effects (ATEs) of elective induction of labor at 39 weeks compared with expectant management on the proportion of children performing at/below the NMS for each domain were estimated using the augmented inverse-propensity-weighted estimator, accounting for potential confounders. Of 53 843 children born at 39-42 weeks in vertex presentation from 1999 to 2008 and who were expected to participate in the year-3 NAPLAN from 2008 to 2015, a total of 31 120 had at least one year-3 NAPLAN domain. Of these, 1353 children were delivered after elective induction of labor at 39 weeks while 29 767 children were born following expectant management. The ATEs (mean differences) of elective induction of labor at 39 weeks compared with expectant management on the proportion of children scoring at/below the NMS on each domain were 0.01 (95% CI, -0.02 to 0.03) for reading, 0.02 (95% CI, 0.00-0.04) for writing, 0.01 (95% CI, -0.01 to 0.04) for spelling, 0.02 (95% CI, -0.01 to 0.04) for grammar and 0.03 (95% CI, 0.00-0.05) for numeracy. Elective induction of labor at 39 weeks did not affect children's standardized literacy and numeracy testing outcomes at 8 years of age when compared with expectant management. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.

Intent and probability: Parents’ use of NAPLAN-related private literacy tutoring

Parental use of private literacy tutoring has been one of the most controversial of the ‘unintended outcomes’ of the introduction of the National Assessment Program–Literacy and Numeracy (NAPLAN), Australia’s national regimen of literacy testing. Other uses of tutoring–whether NAPLAN-related or not–have attracted less public and research attention. This article reports an exploratory interview study of the implication of NAPLAN in parents’ use of tutoring with children who were in Year 5 in 2017. It describes two categories of NAPLAN-related tutoring (NAPLAN coaching and NAPLAN-responsive tutoring) and a category of tutoring to which NAPLAN was at best incidental. The study theorised NAPLAN as a technology that responsibilises parents for their children’s educational success and life chances. Drawing on concepts from Pierre Bourdieu’s sociology, it theorised parental action on the tutoring market as strategic practice. A relational analytic method was used which looked at the co-occurrence of the three categories of tutoring with categories of performance/ability; risks to achievement and problems in learning; and income and other parental resources. Findings show that NAPLAN-related tutoring was an object of strategies that played out differently according to parents’ perceptions and classifications of their children’s individual ability/performance, the role NAPLAN had served in alerting parents to literacy problems or in certifying a child’s high performance, and the resources the family could deploy as they acted on behalf of their child. Implications for understanding NAPLAN-related tutoring as more probable in some families than in others are drawn, along with a suggestion for further research to quantify the findings of this exploratory study.

Educational outcomes among children with type 1 diabetes: Whole-of-population linked-data study.

Challenges with type 1 diabetes (T1D) blood glucose management and illness-related school absences potentially influence children's educational outcomes. However, evidence about the impact of T1D on children's education is mixed. The objectives were to estimate the effects of T1D on children's educational outcomes, and compare time since T1D diagnosis (recent diagnosis [≤2 years] and 3 to 10 years long exposure) on educational outcomes. This whole-of-population study used de-identified, administrative linked-data from the South Australian Early Childhood Data Project. T1D was identified from hospital ICD-10-AM diagnosis codes (E10, ranging E101 to E109), from 2001 to 2014. Educational outcomes were measured in grade 5 by the National Assessment Program-Literacy and Numeracy (NAPLAN, 2008-2015) for children born from 1999 to 2005. Analyses were conducted using augmented inverse probability of treatment weighting. Multiple imputations was used to impute missing data. Among 61 445 children born in South Australia who had undertaken NAPLAN assessments, 162 had T1D. There were negligible differences in the educational outcomes of children with and without T1D, and between recently diagnosed and those with longer exposure. For example, the mean reading score was 482.8 ± 78.9 for children with T1D and 475.5 ± 74.3 for other children. The average treatment effect of 6.8 (95% CI - 6.3-19.9) reflected one-tenth of a SD difference in the mean reading score of children with and without T1D. Children with T1D performed similarly on literacy and numeracy in grade 5 (age ~ 10-years) compared to children without T1D. This could be due to effective T1D management.

Associations between Apgar scores and children's educational outcomes at eight years of age.

Low Apgar scores are associated with neonatal morbidity and mortality, but effects of Apgar scores of 0-5, 6, 7, 8 and 9 (compared with 10) on longer-term neurodevelopmental outcomes are less clear. To examine the associations between Apgar scores of 0-5, 6, 7, 8 and 9 (compared with 10) and children's educational outcomes as measured by the Australian National Assessment Program-Literacy and Numeracy (NAPLAN) tests at age eight. We merged perinatal data including all children born in South Australia from 1999 to 2008 with school assessment data (NAPLAN). School assessments included five learning areas (domains)-reading, writing, spelling, grammar and numeracy. Each domain was categorised according to performing at or below National Minimum Standards (≤NMS). Effects were estimated using Augmented Inverse Probability Weighting (AIPW) accounting for a range of maternal, perinatal and sociodemographic characteristics. Risk differences comparing five-minute Apgar scores of 0-5 with Apgar scores of 10 for children performing≤NMS for each domain were: reading (0.07 (95% CI -0.16 to 0.29)), writing (0.27 (95% CI -0.14 to 0.68)), spelling (0.15 (95% CI -0.10 to 0.40)), grammar (0.04 (95% CI -0.21 to 0.29)) and numeracy (0.21 (95% CI -0.04 to 0.45)). Risk differences for children performing ≤NMS were also evident when Apgar score of 6 was compared with Apgar score of 10. Children with five-minute Apgar scores of 0-5 and 6, compared with Apgar score of 10, are at higher risk of scoring at/below the NMS on the NAPLAN assessments at eightyears.

Exploring the Influence of Early Childhood Education and Care on the Etiology of Achievement.

The present study used a genetically-sensitive quantile regression approach to examine the relation between participation in early childhood education and care (ECEC) and subsequent school performance in literacy and numeracy at grades 3, 5, 7, and 9. The sample consisted of 1255 twin pairs (596 MZ; 659 DZ) with information on both ECEC and the National Assessment Program-Literacy and Numeracy (NAPLAN) scores from the Twin Study of NAPLAN. Results indicated variation in heritability estimates across the distributions of achievement, suggesting that different patterns of etiological influences may exist among children of different ability levels. Additionally, the results provided no evidence that ECEC significantly influenced achievement, and in the genetically-sensitive analyses, no evidence that ECEC moderated the influences of heritability of achievement for typically advantaged children. These results suggest that ECEC may not provide the levels of environmental support for later achievement that advocates claim, although we acknowledge that ECEC quality, which was not measured in the current study, may make a difference in whether or not ECEC influences achievement.