Code- and Meaning-related Emergent Literacy Skills and Joint Attention in Autistic and Non-Autistic Children

Code- and meaning-related emergent literacy skills of autistic children were compared to those of non-autistic children who did not differ on age and full-scale IQ (FSIQ). The associations between joint attention skills and early literacy abilities were of interest. Seventeen autistic and 20 non-autistic children (48 to 72 months) participated. Parents completed a joint attention measure and children completed code- and meaning-related emergent literacy skills measures. Findings showed that autistic and non-autistic children did not differ on code-related emergent literacy skills, letter knowledge and phonological awareness, but autistic children scored lower on print conceptsand name writing. Autistic children also scored lower on meaning-related skills assessing the comprehensive and quality of oral narratives. FSIQ predicted print concept knowledge in all children. Receptive vocabulary was a significant predictor of meaning-related skills in autistic children and the quality of oral narratives in non-autisticchildren. Joint attention was also a significant predictor of oral narrative quality in autistic children. Recommendations for promoting emergent literacy skills using a strength-based approach are discussed.

Autism Detection in Children: Integrating Machine Learning and Natural Language Processing in Narrative Analysis

Despite the consensus that early identification leads to better outcomes for individuals with autism spectrum disorder (ASD), recent research reveals that the average age of diagnosis in the Greek population is approximately six years. However, this age of diagnosis is delayed by an additional two years for families from lower-income or minority backgrounds. These disparities result in adverse impacts on intervention outcomes, which are further burdened by the often time-consuming and labor-intensive language assessments for children with ASD. There is a crucial need for tools that increase access to early assessment and diagnosis that will be rigorous and objective. The current study leverages the capabilities of artificial intelligence to develop a reliable and practical model for distinguishing children with ASD from typically-developing peers based on their narrative and vocabulary skills. We applied natural language processing-based extraction techniques to automatically acquire language features (narrative and vocabulary skills) from storytelling in 68 children with ASD and 52 typically-developing children, and then trained machine learning models on the children's combined narrative and expressive vocabulary data to generate behavioral targets that effectively differentiate ASD from typically-developing children. According to the findings, the model could distinguish ASD from typically-developing children, achieving an accuracy of 96%. Specifically, out of the models used, hist gradient boosting and XGBoost showed slightly superior performance compared to the decision trees and gradient boosting models, particularly regarding accuracy and F1 score. These results bode well for the deployment of machine learning technology for children with ASD, especially those with limited access to early identification services.

Pre-school Skills and School-Age Reading Comprehension in Children on the Autism Spectrum: A Preliminary Investigation

We explored reading comprehension development in children on the spectrum from pre-school to the first (YOS1) and third year of schooling (YOS3). Children were first assessed on meaning-related skills in pre-school. Forty-one children completed follow-up assessments of reading comprehension, reading accuracy, and listening comprehension in YOS1. Nineteen returned for assessments of reading accuracy, reading comprehension, and listening comprehension in YOS3. Children showed poorer reading comprehension than reading accuracy at both timepoints. Reading comprehension, reading accuracy, and listening comprehension were significantly concurrently correlated. Pre-school receptive vocabulary was a significant predictor of YOS3 reading comprehension. Results from this preliminary investigation highlight the potential for early identification of children on the spectrum at risk for reading comprehension difficulties.

Can Narrative Skills Improve in Autism Spectrum Disorder? A Preliminary Study with Verbally Fluent Adolescents Receiving the Cognitive Pragmatic Treatment

Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting social and communicative skills, including narrative ability, namely the description of real-life or fictive accounts of temporally and causally related events. With this study, we aimed to determine whether a communicative-pragmatic training, i.e., the version for adolescents of the Cognitive-Pragmatic Treatment, is effective in improving the narrative skills of 16 verbally fluent adolescents with ASD. We used a multilevel approach to assess pre- and post-training narrative production skills. Discourse analysis focused on micro- (i.e., mean length of utterance, complete sentences, omissions of morphosyntactic information) and macrolinguistic measures (i.e., cohesion, coherence errors, lexical informativeness). Results revealed a significant improvement in mean length of utterance and complete sentences and a decrease in cohesion errors. No significant change was found in the other narrative measures investigated. Our findings suggest that a pragmatically oriented training may be useful in improving grammatical efficiency in narrative production.

Story telling in bilingual Urdu-Cantonese ethnic minority children: Macrostructure and its relation to microstructural linguistic skills

Introduction

The ability to produce a well-structured, coherent and informative narrative requires the integration of lexical and grammatical skills at different levels of complexity. Investigating how narrative macrostructure competence is predicted by microstructural linguistic skills is conceptually enlightening; yet there have been very few, if any, studies documenting the associations between macrostructure and microstructure in both languages of the same bilinguals. In this paper we attempt to address this research gap and report on the first empirical study of Urdu-Cantonese bilingual children's narrative abilities, bringing in data from a new language pair that is currently understudied.

Methods

Twenty-four bilinguals (mean age = 9.17 years) acquiring Urdu as first, family and heritage minority language, and Cantonese as second, school and majority language were assessed via Multilingual Assessment Instrument for Narratives (MAIN). We examined these children's macrostructural competence and its relations to microstructural skills in both languages (Urdu and Cantonese). Three macrostructure components were scored as response variables: Story Structure (SS), Story Complexity (SC), Internal State Terms (IST). Four microstructural measures were scored as predictor variables: number of different words (NDW), mean length of Communication Units (MLCU), proportion of grammatical Communication Units (Gproportion), proportion of correct connectives linking the major episodic elements (Cproportion).

Results

In regression analyses, NDW emerged consistently as a positive predictor of SS, SC and IST in both languages. MLCU and NDW were positive predictors of SS in the stronger L1, but NDW was the only positive predictor of SS in L2. By contrast, NDW and an index of syntactic competence (MLCU in L1, but Cproportion in L2) were significant or close-to-significant positive predictors of SC in both languages. NDW was the only positive predictor of IST in both languages. These findings suggested that the relationships between narrative macrostructure and specific microstructural abilities could manifest both similarly and differently between L1 and L2.

Discussion

We discuss the findings by considering the unique nature of each macrostructure component and how each component might be related to specific microstructural linguistic skills. We suggest directions for further research and discuss how the current findings bring deeper implications for educators and clinicians in assessment, pedagogy, and intervention.

Specific Language Impairment, Autism Spectrum Disorders and Social (Pragmatic) Communication Disorders: Is There Overlap in Language Deficits? A Review

Analysing language characteristics and understanding their dynamics is the key for a successful intervention by speech and language therapists (SLT). Thus, this review aims to investigate a possible overlap in language development shared by autism spectrum disorders (ASD), specific language impairment (SLI) and social (pragmatic) communication disorder (SPCD). The sources of this work were the PubMed, PsycInfo and SciELO databases, as well as the Scientific Open Access Repositories of Portugal. The final selection included 18 studies, focused on several linguistic areas. Results suggest that when individuals are matched according to some language or cognitive skills, they will also show similar characteristics in other language domains. Future work should be done based on spontaneous speech.

Building Comprehension Skills of Young Children With Autism One Storybook at a Time

Purpose Reading involves the ability to decode and draw meaning from printed text. Reading skill profiles vary widely among learners with autism spectrum disorder (ASD). One fairly common pattern is relative strength in decoding combined with weak comprehension skills-indicators of this profile emerge as early as the preschool years. In order for children with ASD to develop a facility with language that prepares them for reading success, practitioners must intentionally create and provide appropriate instruction practices. Method In this tutorial, we describe ways in which practitioners can support language development and comprehension skills for children with ASD within the context of shared reading activities. We begin by providing known information about the reading performance of children with ASD using the Simple View of Reading as our guiding conceptual framework. Next, we present a number of practical, evidence-based strategies that educators can implement within the context of shared book reading activities. Case studies are embedded throughout the tutorial to demonstrate how practitioners may apply these strategies in their instructional settings. Conclusions Shared book reading interventions are a well-studied, developmentally appropriate approach for bringing about change in language and literacy in early childhood. The success of shared reading depends upon rich communication and interaction between the adult reader and the child. Many children with ASD will require strategies to support social communication and emergent literacy skill development (e.g., vocabulary knowledge, language comprehension) that are specifically linked to future reading comprehension.

Emergent Literacy Assessment in Children With Autism Spectrum Disorder Who Have Limited Verbal Communication Skills: A Tutorial

Purpose Children with autism spectrum disorder (ASD) are at increased risk of experiencing difficulties with the development of literacy, including the emergent literacy skills recognized to underpin conventional literacy success. Comprehensive assessment is essential. Characteristics of ASD can make assessment challenging, and this can be compounded when children are unable to demonstrate their skills using spoken language. The purpose of this clinical tutorial is to outline the process of emergent literacy assessment for children with ASD who have limited verbal communication skills. A case example of a 5-year-old boy is presented. Method Pertinent literature is reviewed around the literacy profiles of children with ASD, the subgroup of children with ASD who have limited verbal communication skills, key components of emergent literacy, and previous research examining the emergent literacy abilities of children with ASD. The case report is described in depth and emphasizes the key factors to consider when designing an assessment battery and protocol. Results The case example information is interpreted, and its application is discussed. Key outcomes are highlighted including a greater understanding of the child's literacy strengths and needs and the implications for individualized instruction. Conclusion The clinical tutorial highlights the need for a comprehensive, well-planned assessment approach that involves all members of the educational team, and that is considerate to the needs of the individual child and responsive to their communication needs.

Inferential narrative comprehension ability of young school-age children on the autism spectrum

BACKGROUND AND AIMS

The purpose of the current exploratory study was to describe the inferential narrative comprehension skills of young school-age children on the autism spectrum who, as a group, are at high risk of significant and persistent reading comprehension difficulties. Our aim was to investigate whether the anticipated difficulties in inferential narrative comprehension in the group of children with autism could be explained by the children's structural language ability as measured using a broad-spectrum standardized language test.

METHODS

The participants were 35 children with a diagnosis of autism spectrum disorder (ASD), aged between 5;7 and 6;11, who attended their first year of formal schooling, and 32 typically developing (TD) children, matched to the ASD group for age and year of schooling. Children on the autism spectrum were divided into below normal limits (ASD_BNL, standard score ≤80; n = 21) or within normal limits (ASD_WNL, standard score >80; n = 14) on a standardized language test. All children participated in a narrative comprehension task, which involved listening to a novel story, while looking at pictures, and answering eight comprehension questions immediately afterwards. Comprehension questions were categorized into factual and inferential questions, with further categorization of the inferential questions into those tapping into the story characters' internal responses (mental states) or not. Children's responses were scored on a quality continuum (from 0: inadequate/off topic to 3: expected/correct).

RESULTS

Our results showed significantly lower scores across factual and inferential narrative comprehension in the ASD_BNL group, compared to the ASD_WNL and TD groups, supporting the importance of structural language skills for narrative comprehension. Furthermore, the TD group significantly outperformed the children in the ASD_WNL group on inferential comprehension. Finally, the children in the ASD_WNL group showed specific difficulties in answering the internal response inferential questions compared to their TD peers.

CONCLUSIONS

Results from this exploratory study highlight the difficulties children on the autism spectrum may have in inferential narrative comprehension skills, regardless of sufficient structural language skills at word and sentence level. These findings support the importance of routinely assessing these narrative comprehension skills in children on the spectrum, who as a group are at high risk of persistent reading comprehension difficulties.

IMPLICATIONS

In this study, we demonstrate how narrative comprehension can be assessed in young school-age children on the autism spectrum. The scoring system used to categorize children's responses may further assist in understanding children's performance, across a quality continuum, which can guide detailed goal setting and assist in early targeted intervention planning.

Joint Attention and Sensory-Regulatory Features at 13 and 22 Months as Predictors of Preschool Language and Social-Communication Outcomes

Purpose The purpose of this study was to understand how joint attention and sensory-regulatory features are related in early childhood and predict language and social-communication outcomes in preschool in order to build mechanistic theories that can inform early intervention directed at improving these outcomes. Method Cross-lagged panel analysis models were used to examine the association between joint attention and sensory-regulatory features at 13 and 22 months of age in children (n = 87) who were identified via community screening at 12 months as having a higher likelihood than the general population for being diagnosed with autism spectrum disorder. Results Significant concurrent correlations and predictive correlations were found between these constructs at 13 and 22 months. Joint attention skills at 13 months predicted both joint attention and sensory-regulatory features at 22 months. Distal language and social-communication outcomes at preschool age (n = 48) were best predicted by sensory-regulatory features at 22 months. Conclusions Both joint attention and sensory regulation are important factors in the first and second years of life for impacting later preschool language and social-communication outcomes in this sample. These findings may have implications for future early childhood intervention research for children at a higher likelihood for autism spectrum disorder.

Comprensión Narrativa: Análisis del Concepto y una Propuesta Metodológica

Resumen El análisis conceptual es un eje metodológico de la investigación científica. Aunque un concepto a menudo sufre cambios como parte de una teoría, el análisis de su operación lógica original es condición previa para comprender estos cambios y evaluar su utilidad. Se analizó el funcionamiento lógico del concepto de comprensión, con fundamento en técnicas de la Filosofía del Lenguaje Ordinario. Son características lógicas importantes del concepto: (1) comprender es un verbo de logro (2) puede haber diferentes grados de logro (3) es un concepto polimórfico y (4) es un concepto disposicional. Son discutidas implicaciones metodológicas y teóricas de este análisis, ejemplificadas con una propuesta para el análisis de la comprensión de textos narrativos.