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News
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

 

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The Influence of Gamification and Platform Affordances on User Engagement in Online Learning

International Journal of Distance Education Technologies. 2021. Vol. 1. No. 19. P. 1–17.
Veryaeva K., Solovyeva O.

Gamification becomes an important and widely used instrument in online learning, and it affects users' experience. However, recent research on the interaction between a user and technology, in the online learning platform, tends to study gamification separately. This paper aims to overcome the research gap, exploring the relationships between user engagement, platform affordances, and gamification in online learning. An online survey was conducted among the participants (N=375) studying with Skyeng (commercial online platform for learning English). The data was analysed with factor and regression analysis. The results demonstrated four major platform affordances: technology credibility and usability, adaptability of course tasks, phasing and intermittence and external reward. Among the four, technology credibility and usability was found to be the most influential predictor of user engagement in online learning. External reward, as an affordance, drawn from gamification elements, has the smallest contribution to user engagement. However, the study proves the suitability of perceiving gamified elements as affordances by platform users. The research provides conceptual and empirical grounds for studying gamification elements as one of the affordances in online learning and outlines further directions to explore these connections.

Research target: Other Humanities Education
Language: English
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Text on another site
Keywords: online learninggamificationгеймификацияaffordancesонлайн обучение
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