基于大数据的智能内驱式学习模式构建

On the Construction of Intelligent Internal-drive Learning Model Based on Big Data

随着人工智能和大数据等领域的快速发展,教育与新技术逐渐融合,高等教育中各专业呈现学科技术知识更新速度加快、各学科交叉融合、应用领域拓宽等现象,极大地增加了学生的学习强度和学习"疲惫感"。如何结合现代科技力量,激发学生的学习兴趣并有效提高学习效率,成为教育工作者需要思考的重要课题。分析传统教育中"被动接受"学习模式存在的不足,结合当前智慧学习的研究成果和具体教学实践经验,以大数据技术为核心,通过智能化手段从智能推送、智能奖励、量化评价等方面增强学生的学习兴趣,构建基于大数据的智能内驱式学习模式,使学生主动"学",自主"习",从而实现学习的有效性和高效性。

With the rapid development of artificial intelligence,big data and other fields,education and new technology are gradually integrated.In higher education,various majors appear the phenomena of the accelerated updating of technical knowledge,the cross-integration of various disciplines,and the broadening of application fields,which greatly increases the learning intensity and fatigue of students.How to combine modern science and technology to stimulate students’interest in learning and effectively improve learning efficiency has become an im-portant issue for educators to think about.This paper analyzes the shortcomings of the“passive acceptance”learning model in traditional education.The intelligent internal-drive learning model based on big data is constructed by combining with the current research results of intelligent learning and specific teaching practice experience,taking big data technology as the core,and enhancing students’learning interest through intelligent means such as intelli-gent push,intelligent reward,quantitative evaluation and other aspects,which enable students to take initiative to learn and practice,so as to achieve the effectiveness and efficiency of learning.