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ACM ICBDE 2024 : ACM--2024 The 7th International Conference on Big Data and Education (ICBDE 2024) | |||||||||||
Link: http://www.icbde.org | |||||||||||
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Call For Papers | |||||||||||
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 Speaker 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 Speaker 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 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: icbde@academic.net Tel : (+86) 17323120754 (China) |
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