摘要
以新工科背景下的线上线下混合式教学的改革和探索为切入点,贯彻以学生为中心、以成果为导向的工程教育核心理念,对数据科学与大数据技术专业进行了有效的理论研究和数据分析,深入探讨线上线下混合式教学模式的优势和挑战,满足学生多样化的个性学习需求,挖掘知识的深度和广度,提高学习效果及其应用能力,促进资源共享与跨学科交叉融合,为数据科学与大数据技术专业的教学改革提供了深入的理论研究和有效的实践策略。
This paper takes the reform and exploration of online and offline blending learning under the background of Emerging Engineering Education as the starting point,implements the engineering education core concept of“studentcentered,result-oriented”,and conducts effective theoretical research and data analysis on major of“data science and Big Data technology”.It can deeply explore the advantages and challenges of the online and offline blending learning mode,meet students’diverse individual learning needs,discover the depth and breadth of knowledge,improve learning effects and application capabilities,and promote resource sharing and interdisciplinary cross fusion.The teaching reform of data science and big data technology provides in-depth theoretical research and effective practical strategies.
作者
曾霖
杨璧菀
ZENG Lin;YANG Biwan(School of Artificial Intelligence,Hezhou University,Hezhou 542899,China;School of Culture and Media,Hezhou University,Hezhou 542899,China)
出处
《现代信息科技》
2024年第4期190-194,共5页
Modern Information Technology
基金
贺州学院博士、教授科研启动基金项目(HZUBS201709,HZUJS201805)
广西高等教育本科教学改革工程项目(2021JGA336,2021JGB369)。
关键词
混合式教学
交叉融合
新工科
工程教育
blending learning
cross fusion
Emerging Engineering Education
engineering education