HSE Psycholinguists Launch Digital Tool to Spot Dyslexia in Children

Specialists from HSE University's Centre for Language and Brain have introduced LexiMetr, a new digital tool for diagnosing dyslexia in primary school students. This is the first standardised application in Russia that enables fast and reliable assessment of children’s reading skills to identify dyslexia or the risk of developing it. The application is available on the RuStore platform and runs on Android tablets.
Reading is one of the most complex cognitive skills. It depends on phonological and orthographic processing and requires hand–eye coordination, memory, and attention. Dyslexia is a specific reading disorder characterised by impaired reading acquisition despite preserved nonverbal intelligence. According to the International Dyslexia Association, between 15% and 20% of people worldwide experience reading difficulties. Without timely diagnosis and support, children with reading problems may grow into adults who struggle to use written information in their daily lives.
However, if dyslexia is identified at the primary school age, children have the opportunity to compensate for the disorder and learn to read effectively. Psycholinguists at the HSE Centre for Language and Brain have developed LexiMetr, a tool for assessing reading skills and detecting reading disorders (dyslexia) in students across grades one to four. The application is available on RuStore.
Until now in Russia, reading performance has been assessed using a method adapted in the 1990s by Alexander Kornev, which involves reading a text aloud and answering comprehension questions. While this approach remains reliable and widely used, modern speech therapy practice requires more convenient, technology-based solutions, especially for large-scale screening.
LexiMetr, developed by the Centre for Language and Brain, offers an alternative. This digital test allows users to determine within three minutes whether a child’s reading performance meets age norms and indicates the risk or presence of dyslexia. No prior preparation is needed: all instructions are built into the interface, and results can be easily marked up and saved.
A distinctive feature of the test is its detailed age standards. The application includes data for three groups of children: Russian-speaking monolinguals, bilinguals from national republics, and children learning Russian as a foreign language. LexiMetr has also been successfully validated, demonstrating comparable reading performance between texts displayed on a tablet and traditional paper sheets.
Nina Zdorova, Research Fellow at the HSE Centre for Language and Brain
'The LexiMetr test is the result of many years of work by a large team at the HSE Centre for Language and Brain. Our development draws on cutting-edge research in dyslexia, psychometrics, speech therapy, psycholinguistics, and UX design. We hope the application will support speech therapists and teachers in their daily practice. Accurate and timely diagnosis highlights a child’s reading difficulties and enables early intervention, giving children the opportunity to successfully master reading and avoid future challenges.'
Nina Zdorova
See also:
HSE University to Launch 11 Projects with Research Centres from Five Countries
HSE University has announced the results of its International Academic Cooperation (IAC) competition for joint fundamental research projects. Five projects have received full funding, while six more have been awarded partial funding. The research teams include scholars from Brazil, South Africa, China, India, and Oman. Alexander Balyshev, HSE University Vice President, shared details of the 2026 IAC competition winners.
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines’
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
Leo Tolstoy, Specifications, Counterpoint, and AI Inclusivity: HSE University Discusses Vibe Coding
HSE University hosted the first international conference on vibe coding, VIBE CODING RUSSIA 2026. More than 450 participants and speakers from universities, banks, the telecommunications and cybersecurity sectors, and the vibe-coding community discussed how AI is shortening the path from research findings to products and who is responsible for code written by an algorithm.
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.


