## 6 Discussion  
### Summary of Findings  
This paper has now provided a number of important findings related to the application of the Cross-Cultural Intelligent Language Learning System (CILS) in different language learning platforms, including Busuu and HelloTalk. In this regard, the advantages of AI utilization in language learning environments are of great importance, mainly in improving the learner's engagement and performance across various cultures [41].  
The impact of AI-driven adaptive learning technologies in customizing the learning process has been quite reliable. AI's adaptive nature in adjusting content and challengesaccording to individual learner profiles has led to higher levels of learner engagement and satisfaction [42]. Learners revealed a high level of motivation as well as continuous support in their language study with respect to the adapted approach that adapted education content to their ever-changing learning needs and paces.  
The embedding of cultural awareness into language acquisition by AI has improved learners' intercultural competence. Cultural nuances and contextual scenarios were embedded into the language learning process so that learners could best use their linguistic skills and understand and handle different cultural landscapes. This learning feature was especially emphasized in the comments of users who participated in culturally rich scenarios and interactive tasks that imitated real-life communications.  
This study revealed that AI real-time interaction enhancements improved communicative competence. The instant feedback and corrections rendered by AI during live dialogues made students adjust quickly, and the learners could learn from their mistakes just in time. This aspect was significant in speeding up the language learning process and developing learners' confidence, especially in using the language in real life and daily situations. Table 5 presents the efficiency metrics of AI-enhanced learning environments compared to traditional settings.  
Table 5 compares the efficiency metrics of AI-enhanced learning environments against traditional settings. The data are based on the performance of 1000 participants from institutions including the Shaanxi Institute of Technology, Kunsan National University, and Sunchon National University. It highlights the significant improvements in learning speed and retention rates facilitated by the Cross-Cultural Intelligent Language Learning System (CILS). Learners in the AI-enhanced environment experienced a 50% faster learning speed and a 30% higher retention rate compared to the base rates observed in traditional educational models. This study showed that AI technologies effectively increased the scope and scalability of language learning platforms. AI's capacity to cater to and tailor training for many users at the same time without losing the standard of education is a sign of its transformative power for the educational landscape worldwide.  
The Technology Acceptance Model (TAM) application revealed that both perceived usefulness and ease of use impacted learners' acceptance and continued use of AI-improved language learning platforms. This study's results reveal that beneficial and easy-to-use technology is more likely to be adopted and used continuously by learners, an aspect critical for the long-term success of educational technologies.  
The findings of this research signify AI's revolutionary ability in language education, especially when combined with awareness of cultural details. The positive results in learner engagement, cultural competence, communicative efficiency, scalability, and technology acceptance offer overwhelming evidence in favor of using AI in language learning curricula.