Full Name : The 7th International Conference on Big Data and Education

Abbreviation: ICBDE 2024

Time: September 24-26, 2024    

Place:  Trinity College, University of Oxford, Oxford, UK

Website of Conference: http://www.icbde.org/

 

 

The 7th International Conference on Big Data and Education will be held at Trinity College, University of Oxford, Oxford, UK during September 24-26, 2024. ICBDE is a premier event that brings together researchers, practitioners, and educators from around the world to discuss the latest advancements in big data and its applications in education. Since 2018, the International Conference on Big Data and Education (ICBDE) has been successfully held Six editions in Hawaii, USA, London, UK, Online, Jinan, China. So far, nearly five hundred experts and scholars from all over the world have participated in the conference, and nearly forty technical sessions have been held. After 6 years, ICBDE has established a strong industry expert committee. Many renowned experts in the field of big data and education at home and abroad have shared their latest research results and experiences at the conference. The previous proceedings have been published by the prestigious publisher ACM, and successfully indexed by Ei Compendex, 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 Committee

 

Advisory Chair

Prof. Jane Zheng, Ulster University, UK

 

Conference Chairs

Prof. Yudong Zhang, University of Leicester, UK

Prof. Yanguo Jing, Leeds Trinity University, UK

 

Steering Committee Chairs

Prof. Mido Chang, Florida International University, USA

Prof. Alfredo Cuzzocrea, University of Calabria, Italy

Prof. Amir H.Gandomi, University of Technology Sydney, Australia

Senior Lecturer Dr. Maumita Bhattacharya, Charles Sturt University, Australia

 

Program Committee Chairs

Prof. Chun-Wei Lin, Western Norway University of Applied Sciences, Norway

Assoc. Prof. Xie Ming, Nanyang Technological University, Singapore

Prof. Xi-wen Zhang, Beijing Language and Culture University, China

Assoc. Prof. Jyh-Haw Yeh, Boise State University, USA

 

Publication Chairs

Prof. Edwin P. Christmann, Slippery Rock University, USA

Assoc. Prof. Xin Lu, Leeds Trinity University, UK

 

Finance Chair

Dr. Peter Tong, Concordia International School Shanghai, China

 

Call For Papers

The conference will bring together leading researchers, engineers and scientists in the domain of interest from all around the world. Topics of interest for submissions include, but are not limited to:

 

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

 

5. DIGITAL LEARNING

E-Learning Initiatives

E-Content

Adaptation to New Technologies

Smart Phones & Mobile Applications

Didactic Games

Online Classroom

Interactive Whiteboard

E-Management of Schools

Simulation & Animation

Blended Learning

Advanced Classroom Technologies

Online/Virtual Laboratories

Open Universities & Distance Education

Online Assessment

E-Tutoring

Learning Management Systems

Social & Digital Media

Educational Multimedia

Digital Libraries

Open Resources

Plagiarism Technologies

Digital-Age School

Managed Learning Environments (MLEs)

Learning Management Systems (LMS)

Intelligent Tutoring Systems (ITS)

Virtual Conferences & Workshops

Educational Software

Virtual Reality

 

More topics, please visit:http://www.icbde.org/cfp.html

 

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

 

Submission Guidelines: 

Authors are invited to submit an unpublished original work that must not have been submitted to an other conference, workshop or journal. All papers will be peer-reviewed by members of the Program Committee and be evaluated for originality, significance of the contribution, technical correctness and presentation.

 

The paper should be no less than 8 pages. The paper is limited with 10 pages, including figures, tables & references (Additional pages will be permitted at the cost of $70 per additional page).

 

The paper length allowed is a maximum of 10 (ten) pages, in single column using  Conference template: http://www.icbde.org/acm_template.docx

 

Submission Method:

1. Online Submission: http://confsys.iconf.org/submission/icbde2024

2. Email: [email protected]

 

 

 

 

Contact Us

Conference Secretary: Ms. Doris Feng

Email: [email protected]

Tel : (+86) 17323120754 (China)