Methodology for developing lexical skills in 5th-grade students in English lessons using artificial intelligence technologies
- DOI
- 10.5922/vestnikpsy-2026-3-12
- Pages
- 128-139
artificial intelligence
vocabulary skills
English language
fifth grade
language teaching methodology
adaptive learning
pedagogical experiment
Abstract
The article examines the issue of improving the effectiveness of vocabulary skill development among fifth-grade students learning English through the integration of artificial intelligence technologies. It analyzes such AI-based tools as adaptive learning platforms, conversational chatbots, and generative neural networks. The article presents the results of a pedagogical experiment conducted at Lyceum No. 49 in Kaliningrad from September 2024 to May 2025, involving 225 students: the experimental group (113 students) was taught using AI technologies, whereas the control group (112 students) followed a traditional instructional approach. The evaluation was carried out according to three criteria: the size of active vocabulary, the speed of lexical retrieval, and the level of contextual inferencing. The findings indicate that the active vocabulary of the experimental group increased by 106.7 % (compared with 35.2 % in the control group), response time decreased by 35 %, and the accuracy of contextual inferencing improved by 20 percentage points. The differences were statistically significant (p < 0.001). The study also identifies several limitations, including digital inequality, the risk of uncritical acceptance of AI-generated corrections, and the need for additional teacher training. The proposed approaches may be useful for teachers of English and specialists in language teaching methodology.