Efektivitas Aplikasi Berbasis Ai Dalam Peningkatan Penguasaan Kosakata Bahasa Jerman Tingkat A1

Abstract

The development of Artificial Intelligence (AI) technology has significantly transformed foreign language education, including German language learning. This study aims to analyze the effectiveness of AI-based applications in improving German vocabulary mastery at the A1 proficiency level among beginner learners. The research employed a quantitative approach using a pretest-posttest design involving 40 university students enrolled in introductory German language courses. The research instrument consisted of an A1 vocabulary test based on the standards of the Common European Framework of Reference for Languages (CEFR). Data were analyzed using descriptive statistics and a paired sample t-test. The findings revealed that the mean score increased from 60.95 in the pretest to 83.00 in the posttest after eight weeks of AI-assisted learning. Statistical analysis demonstrated a significant difference between pretest and posttest scores (t(39) = 11.52, p < 0.001, d = 1.82). Furthermore, AI features such as automated feedback, adaptive repetition, and personalized learning content contributed to more effective vocabulary retention and usage. These results indicate that AI-based applications can serve as an effective learning medium for improving German vocabulary mastery at the A1 level and supporting students' autonomous learning.