数据驱动背景下成人自适应学习系统模型分析

Analysis of Adult Adaptive Learning System Model under the Data Driven Background

随着信息技术在教育行业应用的不断深入,各类教育领域积累了丰富且体量巨大的数据。数据本身从最初的统计分析、决策支撑,发展到现在运用数据驱动调整和优化业务发展。自适应学习系统是以数据为核心的采集、分析、反馈中,利用深度学习和机器算法,不断完善适合终身学习、在线学习时代特征的学习系统。现行的成人教学模式中,偏重于采用传统或者是参照普通高等教育教学方法、步骤和模式进行;针对成人的学习能力因素、情感因素、环境因素以及实际需求,通过多维度数据模型的建立,驱动成人自适应学习模式的研究和实践,是优化现代成人教育模式、提升成人学习效果行之有效的途径。

With the deepening application of information technology in the education industry,various education fields have accumulated rich and huge amount of data.The data itself has evolved from the initial statistical analysis and decision support to the use of data to drive,adjust and optimize business development.The adaptive learning system is a learning system which takes data as the core in the collection,analysis and feedback,using deep learning and machine algorithm to continuously improve the characteristics of lifelong learning and online learning.In the current adult teaching mode,the emphasis is on adopting traditional or referencing general higher education teaching methods,procedures and models.In view of adult learning ability factors,emotional factors,environmental factors and actual needs,the establishment of multidimensional data model can drive the research and practice of adult adaptive learning mode,which is an effective way to optimize modern adult education models and improve adult learning effects.