Insights.Wisdom.Leadership: A Study of Talent Cultivation of Big Data

Jing Liang, Shuhua Zhu, Wanyi Gao, Hongjie Li
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Abstract

With the continuous progress and innovation of information technology, Big Data has become one of the most discussed topics in recent years. It alters how the new knowledge is learned and provides opportunities and unprecedented challenges for big data talent training in the educational field. Traditional talent training objectives are not clear and lack curriculum resources and practical teaching insufficiency. This paper analyzes how to cultivate innovative big data talents under the information environment. Our approach is based on three tenets: (1) INSIGHTS: Combine international theories and China's social development characteristics to build a big data technology curriculum system, focusing on the cultivation of insight skills. (2) WISDOM: Establish a "WISDOM" co-sharing learning space that focuses on Ubiquitous learning, which combines online + offline (3) LEADERSHIP: Cultivate students' innovation ability, leadership, and teamwork through project-based learning. It has been proved that the innovation of the big data talent training model has improved the quality of talent training and cultivate integrated talents with excellent teaching effects to meet the needs of modern society.
洞察·智慧·领导力:大数据人才培养研究
随着信息技术的不断进步和创新,大数据成为近年来人们讨论最多的话题之一。它改变了新知识的学习方式,为教育领域的大数据人才培养提供了机遇和前所未有的挑战。传统的人才培养目标不明确,缺乏课程资源,实践教学不足。本文分析了信息环境下如何培养创新型大数据人才。我们的方法基于三个原则:(1)insight:结合国际理论和中国社会发展特点,构建大数据技术课程体系,注重insight技能的培养。(2) WISDOM:建立以泛在学习为核心,线上+线下相结合的“WISDOM”共享学习空间。(3)LEADERSHIP:通过项目式学习,培养学生的创新能力、领导能力和团队合作能力。实践证明,大数据人才培养模式的创新,提高了人才培养质量,培养了适应现代社会需要的教学效果优异的综合性人才。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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