AI-based assessment of the collective information learning style according to the Gregorc Style Delineator
Vasily KashkinAmerican University of Phnom Penh (Cambodia)Narzikulova Firuza BotirovnaSamarkand State Institute of Foreign Languages (Uzbekistan)Begmatova Dilnoza MuxtarovnaSamarkand State Institute of Foreign Languages (Uzbekistan)Yuldasheva Saida TashkulovnaSamarkand State Institute of Foreign Languages (Uzbekistan)
2026
ABI
Abstract
In this study, the authors use a new approach to assess learning styles according to the Gregorc Style Delineator. The assessment was carried out using 4 large language models (LLM). The results of the work show that LLMs are able to assess a person’s learning style (information acquisition) from texts: the company’s top management has pronounced abstract-sequential and concrete-sequential styles of information acquisition. This suggests that top management prefers material that is presented in a structured, sequential and ordered format, using both abstract concepts and concrete examples. They are able to acquire information both deductively and inductively, linking them to practical aspects of the activity.
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