International Conference on Big Data and Education on October 25-27, 2025 in Beijing, China

International Conference on Big Data and Education on October 25-27, 2025 in Beijing, China

Publication:

Accepted papers of ICBDE 2025 after proper registration and presentation will be published in the ICBDE 2025 conference proceedings. Conference content will be submitted for indexing by Ei Compendex and Scopus.

 

Submission Guidelines

1. Originality: Submissions must be original and should not have been published previously.

2. Language: English is the official language of the conference. The paper should be written and presented only in English.

3. Publication & Presentation: Full paper (4 full pages at least) submission is required for paper publication. One regular registration covers 5 pages, including tables, figures, and references. Additional pages will be charged at 70 USD/page.

4. Presentation Only: Abstract (200-300 words) submission is acceptable for presentation only and the abstract will not be published.

5. Paper Formatting: https://www.icbde.org/ieee-conference-latex-template.zip

 

Submission Methods (Choose one of the two, no duplicate submissions)

1. Online System: https://www.zmeeting.org/submission/ICBDE2025

2. Email: [email protected]

 

Conference Schedule:

Day 1 – October 25, 2025-Onsite Registration

Day 2 – October 26, 2025-Opening Ceremony & Keynote Speeches & Group Photo & Invited Speeches & Technical Sessions

Day 3 – October 27, 2025-Academic Visit

 

Sponsored By: North China University of Technology, China

Supported By: Rajamangala University of Technology Krungthep, Thailand

 

Contact Us:

Conference Secretary: Ms. Roselyn Law

Email: [email protected]

 

Topic 1: Big Data Science

Novel theoretical models for educational data

Computational methods for educational data analysis

Data mining techniques in online learning

Predictive analytics for student performance

Big data visualization in education

Data-driven insights for curriculum improvement

Ethical considerations in big data science

Scaling data models for educational environments

 

Topic 2: Big Data Applications

Personalized learning through big data

Big data for intelligent tutoring systems

Data-driven strategies for course design

Adaptive learning technologies using big data

Big data in student assessment

Case studies of big data in online education

Real-time learning analytics applications

Leveraging big data for student retention

 

Topic 3: Big Data Management

Data governance frameworks in education

Cloud-based big data solutions for schools

Ensuring data privacy in educational systems

Real-time data processing for online education

Integrating multiple data sources in education

Data quality and consistency management

Data security protocols for educational data

Managing large-scale student data sets

 

Topic 4: AI in education

AI-driven analytics for personalized learning

Machine learning models for student success prediction

AI-based assessment tools in education

Detecting learning gaps with AI and big data

Automating curriculum design with AI

Ethical implications of AI in education

AI and big data for intelligent classroom management

AI-driven feedback systems for students

 

Topic 5:

Digital Learning

Enhancing digital classrooms with big data

Learning analytics for digital course delivery

Data-driven strategies for improving student engagement

Personalization of digital learning experiences

Gamification using big data insights

Big data for improving learning outcomes

Learning behavior analytics in digital platforms

Data visualization tools for digital education

 

Topic 6: STEM Education

Big data for STEM curriculum design

Predictive analytics in STEM education

STEM student engagement using big data

Data-driven teaching strategies in STEM

Big data to track STEM student performance

Enhancing STEM teaching with big data tools

Personalized learning paths for STEM students

Data applications in STEM-based assessments

 

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

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