This research aims to investigate the correlation between the academic performance of migrant stu-dents and their cultural integration within the context of international education. Additionally, it seeks to identify an optimal acculturation strategy that enhances the academic outcomes of migrant stu-dents and explores the influence of VR technology-based learning on acculturation and academic per-formance. The study conducted an online survey among 1032 participants from China, Vietnam, Mon-golia, Turkmenistan (studying at RUDN University in Moscow, Russian Federation), and Uzbekistan, Tajikistan, Turkmenistan (studying at Kazan (Volga Region) Federal University in Yelabuga, Russian Federation), forming the primary sample (N = 400). The research utilized Berry’s 2D acculturation model (2005) and Schwartz’s questionnaire (1992) to assess acculturation strategies. A virtual reality experiment involved 100 students using Oculus Rift and Rhino-Unity technology. Academic performance, acculturation, and stress levels were measured post-virtual excursions. The SL-ASIA (26-item) and ILS (31-item) surveys assessed acculturation levels and stress. The research iden-tified integration as the most effective acculturation strategy (35%), fostering improved academic per-formance, expanded cultural boundaries, and the development of global cultural capital. Analyzing the relationship between academic performance and acculturation tendencies revealed that the majority of students with "Excellent" (49%) and "Good" (59%) grades exhibited a high level of integration. Those with "Satisfactory" grades showed a tendency towards marginalization (32%). In the realm of cultural education through virtual reality technology, the study demonstrated that immersive VR learn-ing environments can enhance academic performance, reduce psychological and acculturation stress, and multiply adaptive resources essential for acculturation in a new culture. Although the abstract highlights the research objectives, it requires modification for grammatical correctness. Additionally, the methodology for data collection and analysis needs to be explicitly mentioned for clarity.