大数据时代生理信息分析的教育应用及趋势

The Educational Application and Trend of Physiological Information Analysis in the Ara of Big Data

大数据时代随着互联网技术和生理信号技术的发展,探索人体生理信息与教学过程间的关联关系成为教育领域研究的新热点。文章阐述了生理信号及其特征;分析了心率检测、眼动追踪、皮肤电反应、脑电信息处理等生理信息分析方法的原理、应用案例和未来研究方向。最后,文章提出了教育生理信息分析的大数据特性、便携性、融合性、群体性及趋向教育神经科学研究的未来发展趋势。

With the development of internet technology and physiological signal technology in the era of big data, exploring the correlation between human physiological information and teaching process has become a new hot spot in the field of education. The article expounded the physiological signals and their characteristics;and investigated the principles, applications and future research direction of physiological information analysis method such as heart rate detection analysis, eye-tracking technology, galvanic skin response and electroencephalography. In the end, this paper presented the big data characteristics, portability, integration, group characteristics of physiological information analysis, and the development trend of educational neuroscience research.