International Conference on Big Data and Education ICBDE on December 02-04, 2026 in Bangkok, Thailand - Conference Index

International Conference on Big Data and Education ICBDE on December 02-04, 2026 in Bangkok, Thailand

International Conference on Big Data and Education (ICBDE) December 02, 2026 - Bangkok, Thailand

Publication:

Accepted papers of ICBDE 2026 after proper registration and presentation will be published in the ICBDE 2026 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 Presentation Only: Abstract (200-300 words) submission is acceptable for presentation only and the abstract will not be published.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 Template: https://www.icbde.org/acm_template.docx


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

1. Online System: https://www.zmeeting.org/submission/ICBDE2026

2. Email: [email protected]


Conference Schedule:

Day 1 – December 02, 2026-Onsite Registration

Day 2 – December 03, 2026-Opening Ceremony & Keynote Speeches & Group Photo & Invited Speeches & Technical Sessions

Day 3 – December 04, 2026-Academic Visit


Co-organized By:

Rajamangala University of Technology Thanyaburi (RMUTT), Thailand and China University of Mining and Technology (Beijing)


Contact Us:

Conference Secretary: Ms. Lilith Lee

Email: [email protected]

Phone: +86-136-6829-4879

Website: https://www.icbde.org/

Call For Papers:

Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of ICBDE 2026. The topics are not limited to those as below:

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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