USING ARTIFICIAL INTELLIGENCE-BASED CHATBOTS FOR INTERACTIVE UKRAINIAN LANGUAGE LEARNING

The use of chatbots based on artificial intelligence (AI) for teaching the Ukrainian language was consideredhighly relevant in the context of the digitalization of education and the increasing demand to make students’speech development more effective. Interactive tools were found to engage students more actively in thelearning process, addressing the limitations of traditional methods that often failed to accommodateindividual learners’ needs.The aim of the study was to evaluate the impact of AI-based chatbots on the development of speechcompetencies among secondary school students. The methodology included a questionnaire survey ofstudents, a pedagogical experiment involving chatbot-assisted learning, comparative analysis of learningoutcomes between the control group (CG) and the experimental group (EG), and systematic observation ofspeaking activity.The study confirmed that the use of chatbots significantly improved students’ speaking skills, increased theirmotivation, and enhanced lesson interactivity. Specifically, the EG students demonstrated a 27%improvement in productive speech performance and a 35% increase in the number of speech acts. Incomparison, the CG showed only a 12% increase in productivity and a 9% rise in speech acts, which wasnotably lower than the EG results.The conclusions highlighted that the integration of chatbots contributed to the development of sustainablecommunicative skills and supported students’ motivation to learn. Teachers acknowledged the pedagogicalpotential of such tools but also emphasized the need for additional training and improved technicalinfrastructure.The academic novelty of the research lay in the development of an interactive methodology for teachingUkrainian, which effectively combined traditional practices with innovative approaches such aspersonalization and gamification. The practical value consisted in the applicability of the results forimproving Ukrainian language instruction, guiding the integration of AI tools into curricula, and enhancingteacher qualifications.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15977758
Primary Topic
AI in Service Interactions
Type
article
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article

USING ARTIFICIAL INTELLIGENCE-BASED CHATBOTS FOR INTERACTIVE UKRAINIAN LANGUAGE LEARNING

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

USING ARTIFICIAL INTELLIGENCE-BASED CHATBOTS FOR INTERACTIVE UKRAINIAN LANGUAGE LEARNING

article en

Abstract

The use of chatbots based on artificial intelligence (AI) for teaching the Ukrainian language was consideredhighly relevant in the context of the digitalization of education and the increasing demand to make students’speech development more effective. Interactive tools were found to engage students more actively in thelearning process, addressing the limitations of traditional methods that often failed to accommodateindividual learners’ needs.The aim of the study was to evaluate the impact of AI-based chatbots on the development of speechcompetencies among secondary school students. The methodology included a questionnaire survey ofstudents, a pedagogical experiment involving chatbot-assisted learning, comparative analysis of learningoutcomes between the control group (CG) and the experimental group (EG), and systematic observation ofspeaking activity.The study confirmed that the use of chatbots significantly improved students’ speaking skills, increased theirmotivation, and enhanced lesson interactivity. Specifically, the EG students demonstrated a 27%improvement in productive speech performance and a 35% increase in the number of speech acts. Incomparison, the CG showed only a 12% increase in productivity and a 9% rise in speech acts, which wasnotably lower than the EG results.The conclusions highlighted that the integration of chatbots contributed to the development of sustainablecommunicative skills and supported students’ motivation to learn. Teachers acknowledged the pedagogicalpotential of such tools but also emphasized the need for additional training and improved technicalinfrastructure.The academic novelty of the research lay in the development of an interactive methodology for teachingUkrainian, which effectively combined traditional practices with innovative approaches such aspersonalization and gamification. The practical value consisted in the applicability of the results forimproving Ukrainian language instruction, guiding the integration of AI tools into curricula, and enhancingteacher qualifications.

Zenodo (CERN European Organization for Nuclear Research)
Dragomanov Ukrainian State University (UA), Prydniprovs’ka State Academy of Civil Engineering and Architecture (UA), Borys Grinchenko Kyiv Metropolitan University (UA), National Technical University "Kharkiv Polytechnic Institute" (UA)
Quality Education
Openalex Percentile: Top 75%
AI in Service Interactions
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