AI-based assessment of the collective information learning style according to the Gregorc Style Delineator

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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