个性化教学是教育领域追求的目标,旨在根据每个学生的学习需求、兴趣和能力提供定制化的教学。教育数据科学(Education Data Science, EDS)作为一门新兴的跨学科领域,结合了数据科学、学习科学、心理测量学和教育技术。教育数据科学通...
详细信息
个性化教学是教育领域追求的目标,旨在根据每个学生的学习需求、兴趣和能力提供定制化的教学。教育数据科学(Education Data Science, EDS)作为一门新兴的跨学科领域,结合了数据科学、学习科学、心理测量学和教育技术。教育数据科学通过分析和挖掘教育大数据,为实现个性化教学提供了新的视角和工具。本文综述了教育数据科学在个性化教学中的应用,探讨了其理论基础、实践案例、面临的挑战和未来的发展方向。Personalized teaching is the goal of education field, which aims to provide customized teaching according to the learning needs, interests and abilities of each student. As a new interdisciplinary field, Education Data Science (EDS) combines data science, learning science, psychometrics and educational technology. Education data science provides new perspectives and tools for personalized teaching by analyzing and mining education big data. This paper summarizes the application of educational data science in personalized teaching, and discusses its theoretical basis, practical cases, challenges and future development directions.
为了深入探讨影响消费者对教育机器人购买满意度的关键因素,本研究运用Python网络爬虫技术,从京东商城收集了大量关于教育机器人的在线评论数据。通过数据预处理和利用隐含狄利克雷分布(LDA)模型进行文本主题挖掘,研究成功识别出消费者关注的关键因素。同时,情感计算结果显示了消费者评分与情感倾向之间的正相关关系。进一步地,研究采用重要性–满意度分析(IPA)模型对各因素在影响消费者满意度方面的重要性和实际表现进行了评估。研究结果为企业优化产品、提升消费者满意度和制定市场策略提供了重要依据。To explore the key factors affecting consumer satisfaction with the purchase of educational robots, this study employs Python web scraping techniques to collect a substantial dataset of online reviews from ***. Through data preprocessing and text topic mining using the Latent Dirichlet Allocation (LDA) model, the research successfully identifies the critical factors of consumer focus. Additionally, sentiment analysis reveals a positive correlation between consumer ratings and sentiment tendencies. Furthermore, the study utilizes the Importance-Performance Analysis (IPA) model to assess the significance and actual performance of these factors in influencing consumer satisfaction. The findings provide crucial evidence for enterprises to optimize products, enhance consumer satisfaction, and formulate marketing strategies.
暂无评论