Summary Preface：
Artificial intelligence is rapidly integrating into the education system, driving comprehensive upgrades in teaching methods, course design, and management efficiency in higher education institutions. From personalized learning systems to intelligent administrative management, and addressing new challenges in academic integrity, AI is profoundly transforming the educational ecosystem. This industry consultation, combining the latest research and practical cases, explores how universities can strike a balance between opportunities and risks to move towards a smarter and more sustainable educational future.
Artificial intelligence is profoundly transforming the landscape of the education industry. From personalized learning, curriculum design to educational management and academic norms, the application of AI is moving towards systematization and practicality. The core issue of the journal Innovations in Pedagogy and Technology - the integration of technology and education - has witnessed an unprecedented practical upsurge between 2024 and 2025.
The latest research shows that AI-assisted teaching systems are helping teachers adjust content based on students' learning styles and progress. For instance, Carnegie Learning's MATHia math platform uses AI algorithms to analyze student performance in real time and dynamically adjust teaching paths. Such personalized tutoring is gradually being promoted, enhancing learning efficiency and student engagement.
Higher education institutions are also redesigning their curriculum systems to adapt to the AI era. The Wharton School of the University of Pennsylvania announced that it will launch undergraduate and MBA courses in AI in 2025, emphasizing the balance between technical skills and ethics, social responsibility. This trend also reflects the urgent need of the education sector for interdisciplinary AI talent cultivation. At the same time, AI is also playing a role in educational management. From student registration to teaching resource allocation, automated systems are reducing administrative burdens, allowing educational institutions to focus more on improving teaching quality. However, the penetration of AI has also brought new challenges to academic integrity. Data from the Russell Group of universities in the UK shows that although 90% of students admit to using AI tools, cases of "AI plagiarism" being punished are extremely rare, revealing the lag in regulatory and identification mechanisms.
Facing the double-edged effect of AI, more and more universities are beginning to collaborate with technology companies to promote AI literacy education. Many universities, including Duke University, have launched courses on AI usage guidelines and ethics to help students make rational use of new tools rather than blindly rely on them.
AI is driving a systemic transformation in education, but it also raises new issues of norms and governance. For educational researchers, this is a new stage that requires in-depth thinking, continuous experimentation, and ongoing evaluation. As an international peer-reviewed platform, "Education and Technological Innovation" is becoming an important bridge connecting research and practice, technology and ethics.
