International Conference on Big Data and Education on September 24-26, 2024 in Oxford, United Kingdom

International Conference on Big Data and Education on September 24-26, 2024 in Oxford, United Kingdom

Conference Proceedings:

Accepted papers of ICBDE 2024 after proper registration and presentation will be published in the ICBDE 2024 conference proceedings by ACM. Conference content will be submitted for indexing by Ei Compendex and Scopus.

ICBDE 2024 ISBN: 979-8-4007-1698-0

 

Publication History:

ICBDE2018 Proceedings was published by ACM (ISBN: 978-1-4503-6358-7). And successfully indexed by EI Compendex and Scopus.

ICBDE2019 Proceedings was published by ACM (ISBN: 978-1-4503-6186-6). And successfully indexed by EI Compendex and Scopus.

ICBDE2020 Proceedings was published by ACM (ISBN: 978-1-4503-7498-9). And successfully indexed by EI Compendex and Scopus.

ICBDE2021 conference proceedings are published by ACM (ISBN: 978-1-4503-8938-9). And successfully indexed by EI Compendex and Scopus.

ICBDE2022 conference proceedings are published by ACM (ISBN: 978-1-4503-9579-3). And successfully indexed by EI Compendex and Scopus.

ICBDE2023 conference proceedings are published by ACM (ISBN: 979-8-4007-0822-0). And successfully indexed by EI Compendex and Scopus.

 

Keynote Speakers:

Prof. Ryan Baker

University of Pennsylvania, USA

h-index 76

Director of the Penn Center for Learning Analytics

Editor of the journal Computer-Based Learning in Context

 

Prof. Tom Crick

Swansea University, UK

Editor-in-Chief of The Computer Journal

Chartered Fellow of the BCS and the IET,

Distinguished Speaker and Senior Member of the ACM

 

Prof. Yudong Zhang

University of Leicester, UK

h-index 84, Chair Professor, BCS Fellow

IEEE and ACM Senior Member

 

Invited Speakers:

Prof. Chun-Wei Lin

(IET Fellow; ACM Distinguished Member; IEEE Senior Member)

Western Norway University of Applied Sciences, Norway

 

Assoc. Prof. Yang Rui

Xi’an Jiaotong-Liverpool University, China

 

Assoc. Prof. Xie Ming

Nanyang Technological University, Singapore

 

Conference Program:

September 24, 2024

10:00 AM - 06:00 PM Sign-in

September 25, 2024

09:00 AM - 09:30 AM Opening Ceremony

09:30 AM - 10:10 AM Keynote Speech

10:10 AM - 10:30 AM Coffee Break

10:30 AM - 11:10 AM Keynote Speech

11:10 AM - 11:50 AM Keynote Speech

12:00 PM - 01:30 PM Lunch Break

01:30 PM - 06:00 PM Technical Sessions

06:30 PM - 08:00 PM Dinner

September 26, 2024

10:00 PM - 16:00 PM Academic Visit

 

Contact Us:

Conference Secretary: Ms. Doris Feng

Email: [email protected]

Tel : (+86) 17323120754 (China)

 

1.BIG DATA APPLICATIONS

Big Data Analytics in Small Business Enterprises (SMEs)

Big Data Analytics in Government

Big Data Industry Standards

Experiences with Big Data Project Deployments

Novel Theoretical Models for Big Data

Cloud/Grid/Stream Computing for Big Data

High Performance/Parallel Computing Platforms

Energy-efficient Computing for Big Data

Big Data Open Platforms

 

2. BIG DATA MANAGEMENT

Algorithms and Systems for Big Data Search

Distributed, and Peer-to-peer Search

Visualization Analytics for Big Data

Computational Modeling and Data Integration

Large-scale Recommendation Systems and Social Media Systems

Link and Graph Mining

Mobility and Big Data

 

3. AI IN EDUCATION

Adaptive Educational Systems

Intelligent Modelling

Authoring Tools for Intelligent Tutoring Systems

Learning with AI Systems

Agent-Based Learning Environments

Architectures for AI-based Educational Systems

Machine Learning

Learning Analytics and Educational Data Mining

Pedagogical Agents

Natural Language Processing

 

4. BIG DATA SCIENCE

Novel Theoretical Models for Big Data

New Computational Models for Big Data

Data and Information Quality for Big Data

New Data Standards

Social Web Search and Mining

Web Search

Algorithms and Systems for Big Data Search

Distributed, and Peer-to-peer Search

Big Data Search Architectures, Scalability and Efficiency

Data Acquisition, Integration, Cleaning, and Best Practices

Computational Modeling and Data Integration

Cloud/Grid/StreamData Mining- Big Velocity Data

Semantic-based Data Mining and Data Pre-processing

Mobility and Big Data

Multimedia and Multi-structured Data-Big Variety Data

Name: International Economics Development and Research Center
Website: http://www.iedrc.org/

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