【作 者】：
陈明选，王诗佳
【关 键 词 】：
测评大数据；学习反馈；反馈设计
【栏 目】：
教育大数据
【中文摘要】：
测评大数据是基于测评活动获得的学习数据的集合，基于测评大数据分析的学习反馈是发挥大数据优势、提高学习效率的有效途径。本研究从测评大数据的视角探讨了大数据应用于学习反馈环节的机遇与挑战，对当前测评大数据的应用方式及问题进行了分析；从数据优势与教学经验有机结合的思路出发，建构了基于测评大数据分析的学习反馈系统框架，包括：反馈内容设计、反馈环境设计、反馈机制设计三个维度。研究认为：测评大数据为当前学习者状态分析和教学优化提供了更客观的数据支持，基于测评大数据的学习反馈分析与规律总结是教育大数据在基础教育领域的价值所在,把握学习状态是开展下一阶段学习的基础。
【英文摘要】：
Big data on exercise is the data set collected from evaluation activities. To use big data on exercise to provide learning feedback is an effective way to improve learning efficiency. This study explores the opportunities and challenges of big data applied in learning feedback from the perspective of big data on exercise, and analyzes current application methods and problems of big data on exercise. Based on the combination of data advantage and teaching experience, this study constructs a system framework of learning feedback, including feedback content design, feedback environment design, and feedback mechanism design. The results indicate that big data on exercise provides a more objective data support for analyzing learners' current status and teaching optimization. Moreover, the analysis and summary of learning feedback is the value of big data in basic education, and understanding the learning status is the foundation of next stage of learning.