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This research aims to investigate the correlation between the academic performance of migrant students 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 students and explores the influence of VR technology-based learning on acculturation and academic performance. The study conducted an online survey among 1032 participants from China, Vietnam, Mongolia, 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 identified integration as the most effective acculturation strategy (35%), fostering improved academic performance, 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 learning 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.