MODERN APPROACHES TO PREPARING STUDENTS FOR RESEARCH ACTIVITIES USING ARTIFICIAL INTELLIGENCE: ANALYSIS AND SURVEY RESULTS BASED ON INTERNATIONAL EXPERIENCE AND THE EXAMPLE OF CHONGQING CITY VOCATIONAL AND TECHNICAL INSTITUTE (CHINA)

Abstract

Artificial intelligence (AI) technologies are increasingly transforming higher education by enhancing students’ preparation for research activities and expanding opportunities for scientific inquiry. This study aims to analyze modern approaches to integrating AI into research training based on international experience and the example of Chongqing City Vocational and Technical Institute (China). The research employed a quantitative survey method using the Wenjuanxing online platform. A total of 524 students from various specialties participated in the study. The questionnaire examined students’ research experience, the use of AI tools in scientific work, perceived effectiveness, and challenges associated with AI integration. The findings revealed that AI tools are widely applied for literature search, data processing, statistical analysis, and data visualization. More than 90% of respondents acknowledged the growing importance of AI in future research activities. At the same time, students reported difficulties related to insufficient research experience, limited resources, overreliance on technology, and risks of plagiarism and incorrect interpretation of results. The study demonstrates that effective AI integration requires not only technological access but also structured pedagogical support, ethical guidance, and the development of digital and research competencies. The results may contribute to improving AI-driven educational practices and research-oriented learning models in higher education institutions in Kazakhstan and other countries.