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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Balancing autonomy and efficiency: how learner control shapes cognitive load and online learning outcomes

Interactive Learning Environments. 2026. Vol. 34. No. 4. P. 2609–2630.
Gorbunova A., Kseniia Adamovich, Savelyev A., Costley J.

This study examines the tradeoff between learner autonomy and efficiency in optimizingonline instructional design. While learner control is known to enhance personalizationand engagement, it may also increase cognitive demands and learning time,potentially compromising efficiency. To investigate this issue, we conducted anexperimental study comparing low and high levels of learner control across keydimensions: pace, place, content, and sequence. A total of 135 students participated,with one group following a fixed path (low learner control) and another navigating aflexible sequence (high learner control). Learning efficiency was assessed throughengaged time, self-reported cognitive load, and performance outcomes. The resultsshowed that the fixed path group achieved similar performance levels andexperienced similar cognitive load levels to the flexible sequence group, whilerequiring significantly less time. These findings suggest that while learner controloffers potential benefits, excessive autonomy may not lead to improved outcomes,moreover reduced learner control can lead to comparable performance and cognitiveload outcomes with lower time investment. This supports the design of moreefficient, less customizable online learning environments. This study contributes tothe ongoing discussion about the design of adaptive learning systems by highlightingtime as a critical component of instructional efficiency.

Research target: Education
Language: English
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Keywords: эффективность обученияinstructional designonline learningcognitive loadlearning efficiencyкогнитивная нагрузкапедагогический дизайнонлайн обучениеlearner controlсамостоятельный контроль
Publication based on the results of:
Using digital traces to study learners' behavioral strategies (2025)
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