【作 者】：
杨聚鹏， 梁 瑞
【关 键 词 】：
大数据技术； 大学； 课堂； 教学模式
【栏 目】：
课程与教学
【中文摘要】：
文章从大数据的角度，运用规范分析方法，在深入分析大数据特殊形态和功能的基础上，系统研究了大数据技术对大学课堂教学模式带来的挑战及问题，并提出变革传统大学课堂教学模式的策略。研究发现：大数据具有数据量大、处理速度快、类型多样、真实性强、能够创造价值等特点，在数据管理能力和数据兼容性、精准判断与预测、直观的数据信息分享等方面具有独特的功能，会在教育教学理念、教师教育教学能力、教师教育教学方式、教育教学资源配置等方面对传统大学课堂教学产生影响。为了充分适应和有效利用大数据技术，大学课堂教学活动需要从知识传授走向知识共享，从个体经验操作走向智能系统集成，由经验式教育走向技术性教学。
【英文摘要】：
From the perspective of big data, this paper adopts normative analysis method to systematically study the challenges and problems big data bring to university classroom teaching model, and suggests some strategies to change the traditional one based on in-depth analysis of the special form and function of big data. The research finds that big date has advantages in volume, velocity, variety, veracity and value, and has unique functions in data management ability and data compatibility, accurate judgment and prediction, intuitive data sharing, etc., which affect teaching philosophy, teaching ability, teaching method, and teaching resource allocation and other aspects of traditional university classroom teaching. In order to fully adapt to and make full use of big date, university classroom teaching needs to change from knowledge impartment to knowledge sharing, from individual experience operating to intelligent systems integration, from experiential teaching to technical teaching.