Multilingualism and verbal senses in learning Persian for Medical Purposes comprehension through Artificial Intelligence social robots

Document Type : Research Paper

Authors

1 Associate Professor, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

2 Department of English Language and Literature, Golestan University, Gorgan, Iran

3 Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

10.30479/jtpsol.2025.21886.1703

Abstract

This study investigates the potential of Artificial Intelligence social robots to stimulate students’ verbal senses in understanding Persian for Medical Purposes. To this end, using an embedded design, the performance and approach of 400 non-Iranian monolingual and bilingual students studying at Isfahan University of Medical Sciences in the 2024 academic year were examined in their interactions with Artificial Intelligence robots and assistants. While the data related to the participants’ performance were analyzed quantitatively using Generalized Estimating Equations, Interview content analysis was employed to extract themes and subthemes from the data obtained from the participants’ responses to interview questions. The findings indicated that Artificial Intelligence robots have great potential to stimulate bilingual students’ verbal senses and promote Persian for Medical Purposes comprehension. Natural Language Processing algorithms, by calling content from Artificial Intelligence Libraries, made it possible to implement realistic interactive contexts for practicing Persian for Medical Purposes listening and reading. Meanwhile, bilingual students with better performance found learning Persian for Medical Purposes through Artificial Intelligence robots enjoyable. The design and implementation of an Artificial Intelligence robot-assisted language learning for academic purposes is discussed based on applied language learning.

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History

  • Receive Date: 09 April 2025
  • Revise Date: 09 August 2025
  • Accept Date: 11 August 2025

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