【作 者】：
吴 文 峻
【关 键 词 】：
大数据； 智慧教育； 学习分析； 人工智能； 自适应学习
【栏 目】：
教育大数据
【中文摘要】：
智慧教育是随着信息化教育的发展所产生的新型教育方式，其目的是将以互联网为代表的智能化信息技术应用于教育领域，提升传统教育的效率和智能化程度，实现个性化和创新性的新型教育。学习大数据分析技术是支撑智慧教育的重要技术之一，它采集和汇聚学生在智能化教育环境中学习产生的大量学习数据，对其进行深入的分析和解释，从而获取学生学习的隐性和显性行为，评估学生的学业进展，预测未来表现，发现潜在问题，提供智能化的教学建议。本文概述了学习大数据分析技术的分析方法和理论架构，并简要介绍了相关的应用实例。
【英文摘要】：
Smart education, a new type of education along with the development of e-Education, aims to apply intelligent information technology such as Internet to the field of education to improve the efficiency of traditional education and intelligent degree and further realize the personalized and innovative education. Learning analytics technology is important to support smart education. It collects and gathers a large number of learning data produced by students in intelligent learning environment, and then analyzes and interprets those data to obtain the implicit and explicit learning behaviors of students for assessing students' academic progress, predicting their future performance, discovering their potential problems and offering intelligent suggestions to them. This paper summarizes the major methods and theoretical framework of learning analytics, and briefly introduces relevant examples of its application.