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The COVID-19 pandemic brought about sweeping changes to daily life across the globe, none more so than for young people whose worlds were turned upside down by lockdowns, school closures, and social distancing measures. In the thick of these unprecedented disruptions, a critical question emerged: How did these abrupt changes affect the wellbeing of adolescents—those in the midst of pivotal developmental years? A study by an international research team, including Alexandra Bochaver of IOE, offers enthralling insights into the impact of the COVID-19 lockdown on school students' psychological, emotional, and social wellbeing, shedding light on both the challenges they faced and their capacity to adapt. By examining the complexities of adolescent wellbeing during such a tumultuous time in a global context, it underpins the importance of understanding how external crises influence the mental and social health of young people and the need for continued support in the face of such challenges.

Representatives from the HSE Institute of Education have visited leading Indian universities, including the University of Delhi, Jawaharlal Nehru University, and O.P. Jindal Global University, as well as several research centres. HSE staff gave guest lectures on the Russian education system, highlighting its features and opportunities for international students. The visit aimed to strengthen academic collaboration between the two countries. 

In the rapidly evolving landscape of artificial intelligence, understanding the capabilities and limitations of large language models (LLMs) in specialized fields such as education is crucial. A study by Elena Kardanova, Alina Ivanova, Ksenia Tarasova, Taras Pashchenko, Aleksei Tikhoniuk, Elen Yusupova, Anatoly Kasprzhak, Yaroslav Kuzminov, Ekaterina Kruchinskaia, and Irina Brun, introduces a novel psychometrics-based methodology to assess LLM performance in the field of pedagogy. By focusing on the educational domain and developing a robust benchmark tailored for LLM evaluation, the authors offer new insights into the strengths and weaknesses of these models.