学习分析技术的研究现状与未来趋势--基于2011-2015年LAK会议论文的分析

The Current Situation and Future Trend of Learn Analysis Technology Based on 2011-2015 LAK Conference Papers

摘要：“数据驱动决策，分析变革教育”的大数据时代推动了技术与教育的深度融合，教育大数据的出现为 学习分析技术的发展提供了研究契机，学习分析技术可以有效地发挥教育大数据蕴藏的价值，使数据成为优化学 习者学习活动的依据。美国新媒体联盟连续几年来预测学习分析将成为教育领域的研究主流，学习分析技术与知 识国际会议连续五年的举办也为学习分析技术的精细化研究提供了组织保障，该文通过对2011-2015年“学习分 析技术与知识”国际会议The International Conference on Learning Analytics and Knowledge，简称LAK的会议论文 进行文本挖掘和内容分析，整合了大数据视角下学习分析技术的研究现状和发展趋势以及面对的挑战，以期能够 梳理学习分析领域的研究脉络，启示未来的深入研究。

Abstract: Technology and education are closely integrated in the era of big data， whose emergence in education provides a research opportunity for the development of learning analysis technology which can effectively explore the value of big data that is hidden in education， and thus make data the basis for optimizing learners’ learning activity. For several successive years， the United States New Media Consortium has been predicting that learning analysis will become the mainstream of research in the field of education， and the International Conference on Learning Analytics and Knowledge in the previous 5 consecutive years provides the organizational guarantee for the meticulous research. Based on the text mining and content analysis of the International Conference on Learning Analytics and Knowledge papers in 2011-2015， this paper integrates the research status， development trend and the existing challenges of the learning analysis technology from the big data perspective. Hopefully， this paper can sort out the study of the field of learning analysis technology through the context， and thus inspire further studies.