Revolutionizing Learning Outcomes: The Integration of Educational Management, Ai-Driven Methodologies, and Digital Tools

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed educational practices, creating opportunities for more personalized and effective learning experiences. This study investigates the impact of AI-driven methodologies and digital tools on learning outcomes in higher education, with a particular focus on educational institutions in Beijing. The research integrates key constructs such as perceived ease of use, perceived usefulness, and adaptive feedback, with user acceptance serving as a mediating factor influencing students’ academic performance. A quantitative design was adopted, collecting survey data from 640 respondents, including 234 teachers and 367 students. The results reveal that students perceived all three factors—ease of use, usefulness, and adaptive feedback—as significantly enhancing learning outcomes through user acceptance. However, teachers indicated that perceived usefulness did not exert a significant influence on their acceptance of AI tools. These findings underscore the importance of usability and adaptive features in shaping positive attitudes toward AI in education. The study contributes to educational management by offering insights into the integration of AI technologies, while also outlining limitations and directions for future research.