Big Data and Education | 第五届大数据与教育国际会议|2022年2月26-28日|中国 上海

The 2022 5th International Conference on Big Data and Education | Shanghai, China | February 26-28, 2022


Big Data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used softwa re tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce. Let us join in ICBDE 2022 to enjoy the discussion!

大数据是信息技术最新发展成果的典型代表,是工业4.0等各行业新一轮重大变革浪潮的主要推手,也对教育行业产生了重大影响。基于大数据的个性化教学、科学化评价、精细化管理、智能化决策、精准化科研等,对促进教育公平、提高教育质量、优化教育治理都具有重要作用,已成为实现教育现代化必不可少的重要支撑。为了迎接大数据时代的到来,更好地交流大数据的实践经验,进一步推进大数据技术创新与应用,展示国内外大数据领域的最新科研成果。第五届大数据与教育国际会议将于2022年2月26日-28日在中国厦门召开。 会议旨在促进大数据教育等领域的学术交流与合作,热忱欢迎从事相关技术研究的专家、学者和专业技术人员踊跃投稿并参加大会。

We realise that the spread of the COVID-19 may leave you feeling concerned, and the health and safety of our attendees must be our utmost concern. In light of global precautions for the COVID-19 Coronavirus, and building upon recommendations from the World Health Organization, we opened online presentation session. Any question about the online presentation, please feel free to contact:

我们意识到,COVID-19的传播可能会让您感到担忧,我们最关心的是与会者的健康和安全。鉴于COVID-19冠状病毒的全球预防措施,并根据世界卫生组织(World Health Organization)的建议,我们增加了网上报告环节。如有任何问题,请联系。


Confernece Proceedings| 会议论文集出版

We welcome and encourage the submission of high-quality, original papers, which are not being submitted simultaneously for publication elsewhere. ICBDE 2022 welcomes submission of papers concerning any branch of the Big Data and Education, and their applications ineducation, and other subjects. The subjects covered by the ICBDE 2022 include Big Data Applications, Big Data Algorithms, E-learning, Online Education, Digital classrooms , Big Data Mining and Analytics, ect...and their applications.

Accepted papers of ICBDE 2022 after proper registration and presentation will be published in the conference proceedings, which will be included in the Digital Library and indexed by Ei Compendex, Scopus, etc.

征稿范围:大数据应用程序,大数据算法,在线学习,数字教室,大数据挖掘和分析等领域及其应用, 更多主题,请查看 More topics

会议收录的文章将出版在ICBDE 2022 会议论文集, 并由在线数据库收录,被 EI 核心 和 Scopus 检索, 文章作者将被邀请参会展示研究报告 。

ICBDE 2021| ISBN: 978-1-4503-8938-9
The previous proceedings have been successfully indexed by Ei Compendex and Scopus, click below to know more details.

ICBDE 2020 | ISBN: 978-1-4503-7498-9 | ACM Digital Library | Indexed by: EI Compendex and Scopus

ICBDE 2019 | ISBN: 978-1-4503-6186-6 | ACM Digital Library | Indexed by: EI Compendex and Scopus

ICBDE 2018 | ISBN: 978-1-4503-6358-7 | ACM Digital Library | Indexed by: EI Compendex and Scopus


Submission Details | 投稿详情

Submissions should be written in English with a minimum paper length of 8 pages and maximum 10 pages. Extra page will be charged.

Please submit your manuscripts to Electronic Submission System. (.pdf).


Template Download 论文模版下载


Important Dates|截止时间

Submission Deadline 投稿截止

October 10, 2021 | 2021年10月10日

Notification of Acceptance 结果通知

November 05, 2021 |2021年11月05日

Registration Deadline 注册截止

November 30, 2021| 2021年11月30日

News Update 会议动态

Febuary 05, 2021. News!  Welcome Assoc. Prof. Xiaohong Wang, Mianyang Normal University, China to join in the conference committee. (Click)

January 11, 2021. News!  Welcome Assoc. Prof. Xiaohong Wang, Mianyang Normal University, China to join in the conference committee. (Click)

December 06, 2020. News!  ICBDE 2021 submission deadline is extended to December 25th, 2020. (Click)


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