基于大数据的学习分析研究综述

摘要

With the arrival of Big Data Era, new methods and instruments are needed to deal with the emerging massive learning data, and Learning Analytics is becoming one of the focus and frontier of educational research. Based on the method of literature analysis, the paper surveys domestic and international publications from 2010 to 2016, and classify them into six different categories with a description on each, so as to provide an overview on the current development of Learning Analytics. Furthermore, the challenges and research opportunities that affect this emerged ifeld are identiifed, such as privacy and ethical issues, standards establishment, and the exploration of theoretical frameworks.%随着大数据时代的到来，不断涌现的海量学习数据需要使用新的方法与工具进行处理，学习分析应运而生并成为教育研究与应用领域的热点问题。该文基于文献分析法，对国内外2010年以来关于学习分析的期刊论文进行梳理，根据研究重点不同分为理论框架、模型研究、学习分析技术基础、学习分析工具、应用研究、面临挑战等六大类，并对每一类的重要研究成果进行了梳理与介绍，以试图呈现该领域的整体脉络。在此基础上，提出学习分析发展中亟待解决的问题包括理论基础与理论框架的明确、学习分析相关标准的建立等。