Xi'an Jiaotong University - Investigation into the Current State of AI-Driven High-Quality Educational Development
Company overview
Xi'an Jiaotong University is one of China's most prestigious higher education institutions and a national 'Double First-Class' construction university, boasting a strong academic foundation and outstanding research capabilities. As a key innovation hub in western China, Xi'an Jiaotong University has achieved leadership in research fields such as artificial intelligence and educational informatization, actively promoting the integration of intelligent technologies into the education sector. The university has conducted extensive cutting-edge research in smart education and educational digital transformation, providing significant support for China's modernization of education.
Research background
With the rapid advancement of artificial intelligence technologies, the global education sector is undergoing profound transformation. In recent years, the Chinese government has vigorously promoted the application of AI in education, aiming to enhance teaching quality, promote personalized learning, and optimize teaching management through technological means. However, AI applications in education remain largely in the exploratory phase, with uneven development across regions and significant challenges in policy implementation, teacher training, and technical support. To comprehensively understand the current state of AI-driven high-quality educational development, identify existing issues, and determine future development priorities, relevant institutions have launched this large-scale investigation to provide data-driven insights for policy refinement and resource allocation.
Research scope
This study adopts a questionnaire-based methodology, covering three educational levels—higher education, vocational education, and basic education. Survey participants include educational administrators, teachers, students, and parents, with a total sample size of 500. Research topics include the formulation and implementation of AI education policies, current teacher training conditions, applications of AI technologies in classroom instruction, students' learning experiences and adaptability, and parents' awareness and attitudes toward AI education. Through in-depth investigations across different stakeholder groups, this study will comprehensively analyze the current state of AI-driven educational development, identify key challenges, and propose targeted improvement recommendations.
Expected outcomes
First, provide detailed data analysis to reveal the current state and regional disparities in AI-driven education; second, summarize the primary challenges in AI applications within education to offer reference for policy optimization; third, provide targeted recommendations for schools, teachers, and parents to promote the healthy development of AI technologies in education; fourth, advance the broader integration of AI technologies into educational settings, contributing to educational equity and quality improvement
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