1. 杨现民 江苏师范大学智慧教育学院教授

Yang Xianmin  Professor, School of Smart Education, Jiangsu Normal University

演讲主题：数据驱动的规模化因材施教

Topic: Data-driven scale to teach students in accordance with their aptitude

教育正迈向数据驱动的新时代。大数据是指以容量大、类型多、存取速度快、应用价值高为主要特征的数据集合。教育者们需要学会善于获取数据、分析数据、应用数据。教育大数据能驱动教育变革和创新：驱动教育政策科学化、驱动教育评价体系重构、推动区域教育均衡发展、促进师生个性化发展、驱动学校教育质量提升；教育大数据也同时推动教学范式转型：经验模仿教学范式-计算辅助教学范式-数据驱动教学范式。

Education is moving towards a new era of data-driven. Big data refers to a data collection characterized by large capacity, multiple types, fast access speed, and high application value. Educators need to learn to be good at obtaining data, analyzing data, and applying data. Educational big data can drive educational reform and innovation: drive scientific education policy, drive the reconstruction of education evaluation system, promote the balanced development of regional education, promote the personalized development of teachers and students, and drive the improvement of school education quality; education big data also promotes teaching paradigm Transformation: Experience Imitating Teaching Paradigm-Computational Teaching Paradigm-Data Driven Teaching Paradigm.

数据驱动因材施教的实践探索。国家教育政策大力推动：破解教育个性化和规模化直接大矛盾。教育者们需要了解当下孩子是什么样的群体-“数字原住民”-他们更倾向于多任务并行处理、视觉化表达、多元交互、快速处理、随机性。所以教育者们需要以因材施教的基础，为每个孩子制作个性化教育方案。

Data-driven practical exploration of teaching students in accordance with their aptitude. The national education policy vigorously promotes: to resolve the direct contradiction between individualized education and large-scale education. Educators need to understand what kind of group children are today-"digital natives"-they are more inclined to multi-task parallel processing, visual expression, multiple interactions, fast processing, and randomness. Therefore, educators need to make a personalized education plan for each child based on teaching in accordance with their aptitude.

数据驱动因材施教的理论探讨。北京师范大学顾明远教授说，给学生提供合适的教育才是最公平的教育。如今的教育离不开信息化和大数据，可以发现孩子的优势和不足，并开展个性化精准教学精准教学，这里有5个维度的支撑：理论指导、数据驱动、技术支持、机制保障、文化引领。同时要实施精准教学：精心设计、精细授导、精炼研习、精准评估、精益辅导。总之，因材施教需要“适应性/个性化学习”因材施教需要“数据驱动的新评价。

Data-driven theoretical discussion of teaching students in accordance with their aptitude. Professor Gu Mingyuan of Beijing Normal University said that providing students with appropriate education is the fairest education. Today's education is inseparable from informationization and big data. It can discover the strengths and weaknesses of children, and carry out personalized and precise teaching. There are five dimensions of support: theoretical guidance, data-driven, technical support, mechanism guarantee, and culture. Lead. At the same time, precision teaching should be implemented: careful design, fine instruction, refined study, precise evaluation, and lean coaching. In short, teaching students in accordance with their aptitude requires "adaptive/personalized learning" teaching students in accordance with their aptitude requires "data-driven new evaluations".

2. 曹培杰 中国教育科学研究院实验室副主任

Cao Peijie  Deputy Director of the Laboratory of the Chinese Academy of Educational Sciences

演讲主题：利用新技术构建新型教与学模式

Theme: Use new technology to build a new mode of teaching and learning

原始社会-人类学习=模仿

Primitive Society-Human Learning = Imitation

农业社会- 人类学习=阅读和背诵

Agricultural Society-Human Learning = Reading and Recitation

工业社会- 人类社会=进入学校，根据年龄按班级分班学习

Industrial Society-Human Society = Enter school and study in different classes according to age

人工智能时代（如今现状和未来趋势）= 万物互联+智慧感知

Artificial Intelligence Era (Current Status and Future Trends)=nternet of Everything + Smart Perception

学习时代变迁下，变得更有实践性、参与性、情境化。学习者们从学以致用到用以致学。未来课堂将会从“虚假成功”转向“有效失败”，让学生在挑战中、失败中有效学习。其中，未来课堂将更加注重面向真实的项目式学习，基于数据的精准学习（翻转课堂-在信息技术的支撑下，学生在课外利用自学完成知识传递，在课堂则通过自主学习完成知识内化，实现数字化条件的先学后教），强调融通的跨学科学习，也将实现教学机制创新（弹性课时安排、学习场景相互融通、跨班级共享教师）。

Under the changing age of learning, it becomes more practical, participatory, and contextual. Learners go from applying what they have learned to applying them to learning. In the future, the classroom will shift from "false success" to "effective failure", allowing students to learn effectively amidst challenges and failures. Among them, the future classroom will pay more attention to real-world project-based learning, accurate learning based on data (flipped classroom-with the support of information technology, students use self-study to complete knowledge transfer outside of class, and to complete knowledge internalization through self-study in the classroom. Realize digital conditions (learning before teaching), emphasizing integrated interdisciplinary learning, and innovation in teaching mechanisms (flexible class schedules, mutual integration of learning scenarios, and cross-class sharing of teachers).

3. 王琳 联想智慧教育方案中心总监

Wang Lin  Director of Lenovo Smart Education Solution Center

演讲主题：科技至简 智慧为学

Theme: Technology is simple, Smart is learning

过去20年， 联想一直投身于教育信息化建设，200000+所学校，40000000+台终端2.0时代- 端（设备）边（计算）云（资源）。

In the past 20 years, Lenovo has been dedicated to the construction of educational informationization, with 200,000+ schools and 40,000,000+ terminals in the 2.0 era-device (device) side (computing) cloud (resource).

智慧为学对教学过程信息化的思考：操作系统多样化、应用多样化、工具多样化。联想一直致力于教师能力建设：“全程”教师教研，管理看板（科研数据实时更新，科研成果可视化呈现，动态助力教育管理者）；“全面”教师发展，成长体检（对标同教龄、职称教师）；“全员”教师学习，过程管理；“全年”教师队伍，发展报告。另外，注重教研数字化培训：培训项目定制，培训时间支撑，培训一站式管理教研数字化-展示：让想干的有机会，能干的有舞台，干好的有地位。

Smart learning thinking about the informatization of the teaching process: diversified operating systems, diversified applications, and diversified tools. Lenovo has been committed to teacher capacity building: "full-process" teacher teaching and research, management Kanban (real-time update of scientific research data, visual presentation of scientific research results, dynamic assistance to education managers); "comprehensive" teacher development, physical examination for growth (compared to teachers of the same teaching age and professional title) ); "full" teacher learning, process management; "full year" teacher team, development report. In addition, pay attention to the digital training of teaching and research: training project customization, training time support, training one-stop management, teaching and research digitalization-display: let those who want to do have opportunities, those who are capable have a stage, and those who do well have a status.

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