(ICBDE 2024) 2024 The 7th International Conference on Big Data and Education

data mining & big dataEducation

Conference Date

Sep 24-Sep 26, 2024

Place

Oxford, The United Kingdom

Submission Deadline

May 25, 2024

E-mail

icbde@academic.net

Telephone

(+86) 17323120754

Description

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: icbde@academic.net

Contact Us:
Conference Secretary: Ms. Doris Feng
Email: icbde@academic.net
Tel : (+86) 17323120754 (China)