基于大数据的外语智慧教育应用研究  

A Practical Research on Foreign Language Intelligent Education based on Big Data

作　　者：张艳丽[1] 孙中玲[1] 张德盛 于春芳 

机构地区：[1]鲁东大学外国语学院,山东烟台264025

出　　处：《现代教育技术》2017年第12期63-68,共6页Modern Educational Technology

基　　金：2017年山东省社会科学规划研究项目"基于大数据的ESP智慧教育应用研究"(项目编号:17CYYJ07);鲁东大学外国语学院"国家级数字化语言文学实验教学示范中心"的阶段性研究成果

摘　　要：长期以来,外语教育中存在的主要问题是费时低效。在大数据背景下,智慧教育的理念给外语教育带来了系统性的变革。文章通过梳理信息环境下外语智慧教育的特点及其理论基础,提出改善目前外语教育的措施在于建构智慧型课程。文章采用数据挖掘和学习分析技术,构建适应智慧学习的慕课体系,提供微课、翻转课堂等个性化的学习内容,建立了多元互动的教学评价机制,以提高学生的学习效率和学习自主性,从而实现智慧化和个性化教育。The major problem in foreign language education is time consuming with low efficiency. A concept of intelligent education has brought about systemic transformation in the background of big data. By illustrating the characteristics and the theoretical basis of foreign language intelligent education, the paper presents a solution to the problem, that is, to build intelligent courses. To fulfill this purpose, technologies of data mining and learning analysis were applied to construct the MOOC system which can well fit the intelligent education. Moreover, individualized learning patterns such as online micro-courses and flipped classes are also constructed, together with diversified interactive evaluation mechanism. In this way, the intelligent and personalized education can be realized with the improvement of students＇ learning efficiency and learning autonomy during the intelligent learning process.

关 键 词：大数据 外语智慧教育 个性化学习 

分 类 号：G40-057[文化科学—教育学原理]