Core Insights - The article emphasizes the need for transformation and innovation in educational research (教研) to enhance the quality of basic education in China, particularly in the context of increasing AI applications [1] Group 1: Quality Improvement in Regular Classes - Regional educational research plays a crucial role in enhancing the quality of regular classes by integrating research, teaching, learning, and assessment [2] - The development of a competency-based classroom is essential, focusing on gradual and continuous competency cultivation rather than immediate learning outcomes [2] Group 2: Data-Driven Transformation - Smart education is identified as a significant growth line for large-scale transformation in regional educational research, utilizing big data for comprehensive classroom analysis and evidence-based research [3] - The integration of human-machine collaboration in educational research allows for a shift from traditional experience-based analysis to data-driven insights [4] Group 3: Organizational Change - The transformation of educational research must also include changes in organizational structures, moving away from fragmented approaches to a more collaborative ecosystem [6] - Strengthening the collaboration between educational research and scientific research is vital for driving innovation and practical support in basic education [6] - Enhancing cross-level and cross-domain collaboration is necessary to improve research quality and create a resource hub for regional education [7]

Core Insights - The event held in Beijing focused on the integration of artificial intelligence in education, showcasing various AI applications and the achievements of "AI + Education" practices in primary and secondary schools [1][2] - The establishment of the "Smart Classroom Evidence-Based Research Alliance" aims to enhance educational research and collaboration across regions, promoting high-quality education development [2][3] - The conference highlighted the evolution of the "Competency Growth Classroom" model, demonstrating a shift from traditional teaching methods to a more interactive and competency-focused approach [4][6] Group 1: AI in Education - The use of intelligent grading machines allows teachers to efficiently grade assignments, significantly enhancing productivity [1] - The conference featured 12 classes demonstrating AI-enabled competency growth classrooms, showcasing the transition from knowledge transmission to competency generation [4][5] - AI tools provide teachers with insights into classroom dynamics, enabling data-driven improvements in teaching methods and student engagement [6] Group 2: Research and Collaboration - The "Smart Classroom Evidence-Based Research Alliance" was formed to connect educational research institutions across various provinces, aiming to create a collaborative network for educational innovation [2] - The alliance will focus on five key topics, including evidence-based research and smart classrooms, facilitating annual academic meetings and joint research initiatives [2][3] - The East District Education Science Research Institute was designated as a training and research base for the People's Education Press, emphasizing the importance of integrating national resources with local educational practices [2]