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基于大数据的电子商务课程个性化教学策略

Personalized Teaching Strategies for E-commerce Courses Based on Big Data

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随着电子商务领域的迅速发展,高等教育机构纷纷开设了相关课程以培养专业人才.然而传统的教学模式常采用"一刀切"的方法,难以满足学生个性化的学习需求.大数据技术的引入为个性化教学提供了新的可能性,它通过收集和分析大量学生学习数据,支持教师制定更加精准和有针对性的教学策略.这种方法不仅可以增强学生的学习体验,还可以提高教学效果.文章分析了电子商务课程个性化教学的现有局限,阐述了基于大数据的电子商务课程个性化教学策略,包括学习数据的采集与分析、动态课程内容适应与个性化调整、学习内容与方法的个性化设计以及互动式学习资源的开发等.
With the rapid development of e-commerce,higher education institutions have offered relevant courses to cultivate professional talents.However,traditional teaching methods often adopt a one size fits all approach,which is difficult to meet the personalized learning needs of students.The introduction of big data technology provides new possibilities for personalized teaching,as it collects and analyzes a large amount of student learning data to support teachers in developing more accurate and targeted teaching strategies.This method can not only enhance students'learning experience,but also improve teaching effectiveness.This article analyzes the existing limitations of personalized teaching in e-commerce courses and elaborates on personalized teaching strategies for e-commerce courses based on big data,including the collection and analysis of learning data,dynamic course content adaptation and personalized adjustment,personalized design of learning content and methods,and development of interactive learning resources.

big datae-commerce coursespersonalized teaching

陈晓丽

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陇南师范学院 甘肃 陇南 742500

大数据 电子商务课程 个性化教学

2024

科教导刊
湖北省科学技术协会

科教导刊

影响因子:0.225
ISSN:1674-6813
年,卷(期):2024.(35)