Skip to content
#small language model Review Open access

Pragmatic Language Interventions for Autistic Children: Evidence, Generalisation, and Neurodiversity-Informed Directions

Oct 2026 · Journal of Natural Language and Linguistics · 0 citations

Abstract

Autistic children do not experience pragmatic-language difficulties in the same way. Some may need support with conversation, inference, or communication repair, whereas others communicate effectively when the setting, task, or communication partner is familiar. This review examines what recent intervention research can-and cannot-tell us about supporting these differences. Literature published mainly between 2015 and 2025 was identified through PubMed, ERIC, citation searching, and relevant publisher databases. Earlier studies were retained when they informed current intervention models or debates. The reviewed approaches included explicit pragmatic teaching, naturalistic and play-based intervention, parent- and peer-mediated programmes, school-based support, and the use of technology. Many studies reported improvement in the behaviours or skills directly addressed during intervention. Evidence of lasting change in ordinary classrooms, homes, and peer relationships was much more limited. This distinction is important, since performing a practised task successfully is not the same as communicating more easily in daily life. Conclusions were also restricted by small samples, considerable variation between interventions, and the use of measures that were often closely related to the content taught. The review further considers how intervention goals are defined. Teaching may be helpful when it gives a child additional ways to communicate, participate, or manage misunderstandings. It is more difficult to justify when it mainly rewards behaviour that appears more neurotypical. Future work should examine outcomes chosen with autistic people, include children with a wider range of communication profiles, and consider partners and environments as part of pragmatic support.

Read PDF

Similar papers

#small language model Dataset Open access Oct 2026

Socratic guiding questions in synthetic arithmetic data: matched LoRA runs (revision v2)

Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...

O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al. · 465 citations
#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.