深入招生考试、教学评价、就业服务等核心场景——教育智能化转型提速

Core Viewpoint - Digital technology is reshaping the education system, with artificial intelligence evolving into a core element driving the entire teaching process, impacting key areas such as admissions, teaching evaluation, employment services, and campus governance [1][2]. Group 1: Digital Education Infrastructure - The National Education Big Data Center and the National Smart Education Public Service Platform have officially launched, enabling data sharing and intelligent upgrades of national platforms, marking a significant milestone in the digital education strategy [1][2]. - The National Education Big Data Center aims to break down data silos, allowing real-time monitoring of key indicators such as resource allocation, teacher configuration, student development, and teaching quality [1][3]. - The Smart Platform integrates AI, data services, and algorithm modules into reusable components, facilitating rapid application development and deployment [1][2]. Group 2: Educational Governance and Data Utilization - The National Education Big Data Center supports differentiated teaching and personalized guidance by deeply analyzing students' learning processes and developmental needs [2][3]. - Data sharing initiatives are enhancing educational services' precision, as demonstrated by Wuhan University of Technology's model for identifying economically disadvantaged students [3][4]. - The integration of big data and AI technologies is transforming the teaching process towards collaborative human-machine learning, marking a shift from knowledge transmission to capability enhancement [3][4]. Group 3: Future of Education - The launch of these platforms is expected to lead to a more equitable, high-quality, vibrant, and sustainable education system, with new forms of teachers, classrooms, and learning centers emerging [4]. - The education governance model is transitioning towards precision, intelligence, and modernization, with data-driven decision-making becoming the new norm [4].