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September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
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The role of social influence in generative artificial intelligence ChatGPT adoption intentions among undergraduate and graduate students

Innovations in Education and Teaching International. 2025. Vol. 62. No. 5. P. 1559–1573.
Korchak A., Al Murshidi G., Getman A., Raouf N., Arshe M., Al Meheiri N., Shulgina G., Costley J.

This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among peers and its use intention was examined. Survey data (271 UAE university students) revealed a significant relationship between social influence and GenAI use intention, with undergraduate students being more affected by peers than graduates. This difference may be explained by higher autonomy, level of independence, and less cohesive peer networks among graduate students. The increased GenAI popularity among undergraduate students can also be attributed to some degree to the non-voluntary nature of their environment and a stronger peer influence. The study contributes to UTAUT advancement by extending the social influence construct to voluntary and non-voluntary GenAI use settings.

Research target: Education
Language: English
DOI
Text on another site
Keywords: graduate studentsundergraduate studentstechnology acceptancepeer influenceGenerative artificial intelligence (GenAI)GenAI use intention
Publication based on the results of:
Using digital traces to study learners' behavioral strategies (2025)
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