【作 者】：
孙众，蘧征，杨现民，骆力明
【关 键 词 】：
教育大数据；有意义的大数据；教学改革；学习改进
【栏 目】：
教育大数据
【中文摘要】：
近年来，我国的教育教学改革虽已取得显著成果，但在个性化学习、深度学习、智慧学习等领域仍面临诸多困境，现实呼唤着数据驱动的教学改革与优化。有意义的大数据是指在自然而持续的学习过程中所收集的学生认知、行为、情感等多维度大样本数据，具备多类型、可量化计算、可视化呈现等特征，能够为教与学提供科学决策参考的教育大数据。文章以有意义的大数据为出发点，指出其在创新教学模式、提供精准评价、提升学习质量、优化教学决策等方面的应用价值，以期为教学优化和质量提升提供理论依据与实践参考。
【英文摘要】：
In recent years, the reform in education has made remarkable achievements, but many difficulties still exist in some fields, such as personalized learning, deep learning, smart learning, and as a result, teaching reform and optimization driven by the data is advocated. Meaningful big data refers to the multi-dimensional data, collected in the process of students' natural and continuous learning and covering students' cognition, behaviors, and emotions and so on. The data, with the characteristics of multi-type, quantifiable calculation and visualization, can provide reference for scientific decision-making of teaching and learning. Based on meaningful big data, this paper puts forward its application and value in innovating teaching mode, providing accurate evaluation, improving learning quality and optimizing teaching decision for the purpose of providing theoretical and practical reference for teaching optimization and quality improvement.