学习分析的研究现状与未来展望———２０１６年学习分析和知识国际会议述评

The Research Status and Future Prospect of Learning Analysis: Review based on the 6th International Conference on Learning Analytics and Knowledge

The development of Learning Analytics clarifies the understanding of learning， enhances the support for learning， improves the effectiveness of learning and has become an important driving force of promoting the development of education. The International Conference on Learning Analytics and Knowledge ( LAK) has played an important role in promoting innovation and popularization of Learning Analytics， constructing of multi-disciplinary cooperation and communication. This paper introduces the topics and keynote speeches of the LAK in 2016， comprehensively analyzes and summarizes the conference papers which are sorted out and elaborated from the following four aspects: models and methods ， techniques and tools ， practice and application ， and ethics and morality. We can also conclude some hotspots and difficulties from the above four aspects. Firstly， the studies on Learning Analytics model， learning system and the application of learning tools are still common concern of scholars at present. Secondly， the visualization of Learning Analytics' results and the method of analyzing the learners physiological data are becoming the research hotspots gradually. Once more， although the research of data security and ethics has attracted peoples attention， it has not formed unified standards and norms yet. Lastly， there is no universal consensus on the double-side effects of Learning Analytics ， so how to avoid the harmful effects of Learning Analytics is worth of studying further. And then ， the paper forecasts future trend of Learning Analytics from four aspects ， just as deepening the basic theoretical research ， unifying technical standards and norms ， expanding areas of the practice and application ， and strengthening discussion of security and ethics. In addition， the development progress of Learning Analytics still has lots of problems and obstacles， but the paper gives some suggestions on development path of Learning Analytics. That is， Learning Analytics should depend on the progress of technology， study of Big Data and collaboration of multiple disciplines. Thus we can help people understand the current situation， hotspot and future trend of Learning Analytics， as well as provide references for related research in details.