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Transformative education Web 2.0 systems for enriching high school STEM education

机译:变革性教育Web 2.0系统,可丰富高中STEM教育

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There are currently over a hundred STEM (Science, Technology, Engineering, and Mathematics) programs in the U.S., aimed at encouraging students to enter a STEM-related career. Of the fields encompassed by STEM, mathematics is the foundation. However, American teens have demonstrated less ability and aptitude for mathematics than the teens in many other countries. Efforts to reduce this ability gap have focused on building a better communal structure within schools, creating more cohesive math curricula, offering smaller classes, encouraging cooperative learning, and helping students overcome math anxiety at school. There is very little published literature on the potential of guided cyber-based self-learning in STEM education, although there are a variety of online STEM learning web sites available for students to access at or after school. In particular, no scientific approach exists to address STEM education challenges in an outside-school setting. The paper briefly unveil an approach to transformatively addressing how mathematics learning, outside of a formal high school setting, could contribute to students' math aptitude. A Web 2.0 system has been deployed, focusing on promoting students' collaborative learning. A big data architecture is applied to addressing voluminous data, which ensures that unstructured Web 2.0 data are always ready for analysis in real time.
机译:美国目前有一百多个STEM(科学,技术,工程和数学)计划,旨在鼓励学生进入与STEM相关的职业。在STEM涵盖的领域中,数学是基础。但是,与许多其他国家/地区的青少年相比,美国青少年的数学能力和才华不足。减少这种能力差距的努力集中于在学校内部建立更好的社区结构,创建更具凝聚力的数学课程,开设较小的班级,鼓励合作学习以及帮助学生克服学校的数学焦虑感。尽管有许多在线STEM学习网站可供学生在放学后或放学后使用,但很少有已发表的文献介绍基于引导的基于网络的自我学习在STEM教育中的潜力。特别是,没有科学的方法可以解决校外环境中的STEM教育挑战。论文简要介绍了一种方法,以变革性的方式解决了在正规高中环境下进行数学学习如何促进学生的数学才能的问题。已经部署了Web 2.0系统,重点是促进学生的协作学习。大数据体系结构用于处理大量数据,可确保非结构化Web 2.0数据始终准备好进行实时分析。

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