Exploring the impact of artificial intelligence-enhanced language learning on youths’ intercultural communication competence

This study constructs an advanced intelligent language learning system, meticulously designed to elevate learners’ linguistic prowess and intercultural communication capabilities. The system integrates deep learning with an enhanced Agent-Object-Relationship Model Based on Consciousness (AORBCO), representing a significant advancement in language education. Technologically, the system harnesses the Bidirectional Encoder Representations from Transformers model to grasp and encode textual information. A sequence-to-sequence translation process is deftly managed by the Transformer model’s encoder and decoder. Additionally, the refined AORBCO model optimizes suitability for communicative and natural language processing tasks, thereby bolstering its proficiency in handling long sequences and multimodal data. The speech recognition module is powered by cutting-edge automatic speech recognition technology, while the speech synthesis module leverages text-to-speech technology, enabling high-precision spoken interaction. An empirical experiment, conducted over three months with 262 young language learners, served to evaluate the system’s efficacy. The findings reveal that, across all dimensions of language proficiency, the experimental group exhibited significantly greater improvements compared to the control group. Notably, the experimental group showed substantial advancements in language fluency, cultural understanding, communication strategies, and cultural sensitivity, achieving a comprehensive score increase of 18.9 points. Moreover, the benefits observed in the experimental group demonstrated enduring effects, underscoring the system’s role in sustaining long-term learning outcomes. The innovative contribution of this study lies in the seamless integration of diverse artificial intelligence technologies with the refined AORBCO model, culminating in a holistic language learning system. Empirical data confirm its efficacy in enhancing language proficiency and intercultural communication skills. The system’s personalized learning paths and real-time feedback mechanisms significantly boost learner engagement and effectiveness, offering a valuable blueprint for the future evolution of intelligent language learning systems.