Exploring the Role of Artificial Intelligence-Assisted Vocabulary Apps in School English Language Education: A Survey-based Approach

This study explores the impact of Artificial Intelligence (AI)-assisted vocabulary apps on English language learning outcomes among school students in grades 8 and above. The objectives include evaluating the effectiveness of these apps in vocabulary acquisition, examining their influence on student engagement, and identifying the factors contributing to their success in educational settings. A mixed-methods, quasi-experimental design was employed with two groups: an experimental group using AI-enabled vocabulary apps and a control group relying on traditional methods. The AI apps incorporated personalized learning paths, gamified interfaces, and adaptive feedback. Data were collected through structured questionnaires covering demographic information, learning behaviors, and vocabulary usage. Independent t-tests were used to compare performance outcomes, while open-ended responses provided qualitative insights. Statistical analysis indicated significantly higher vocabulary scores in the experimental group (Mean = 82%) compared to the control group (Mean = 68%), with a t-value of 4.29 (p < 0.001). Engagement frequency positively correlated with performance (r = 0.40), and motivation also showed a moderate positive correlation (r = 0.67). Qualitative feedback highlighted benefits such as real-time feedback. The findings affirm that AI-assisted vocabulary tools enhance vocabulary retention and student engagement. These apps demonstrate strong potential for integration into school curricula, offering tailored and interactive learning experiences that can complement traditional instructional methods.