The 1st International Workshop on Artificial Intelligence in Education and Educational Data Mining (AIEDM 2024)

Brief description:

In recent years, the integration of Artificial Intelligence (AI) in education has emerged as a transformative force, revolutionizing traditional educational paradigms. Concurrently, the field of Educational Data Mining (EDM) has gained prominence, leveraging data-driven insights to enhance learning experiences. This workshop aims to foster collaboration among researchers, educators, and practitioners by exploring the synergies between AI, Social Learning, and EDM, addressing challenges, and envisioning the future of intelligent and socially-driven education.

Submission Guidelines

Topics of Interest Include, but are not Limited to:

• Intelligent Tutoring Systems:
  

  Adaptive learning environments
  AI-driven personalized instruction
  Dynamic feedback mechanisms

• Educational Data Mining and Learning Analytics:
  

  Predictive modeling for student performance
  Educational knowledge graph and Behavioral pattern analysis
  Learning analytics for actionable insights Natural

• Language Processing in Educational Contexts:
  

  Automated assessment and grading
  Language understanding for educational content
  Conversational agents in learning environments

• Personalized Learning and Recommender Systems:
  

  Individualized learning paths
  Recommender systems for educational resources
  Adaptive content delivery

• Ethical and Responsible AI in Education:
  

  Fairness and bias mitigation
  Privacy-preserving AI applications
  Ethical considerations in AI-driven education

• Human-AI Collaboration in Education:
  

  Teacher support systems
  Collaborative learning with AI
  AI-assisted educational administration

• Innovative Applications of AI in Education:
  

  Virtual and augmented reality in education
  Gamification for enhanced learning
  AI for inclusive education

• Educational Data Security and Privacy:
  

  Secure data storage and processing
  Privacy-preserving data sharing
  Compliance with data protection regulations

Paper Submission Guidelines:

Researchers and practitioners are invited to submit original research papers and case studies that contribute to the workshop themes. All submissions must be written in English and conform to the Springer LNCS proceedings format with the following page limits: 10 pages for regular papers including references. Submissions will undergo rigorous peer review, and accepted contributions will be presented during the workshop. The workshop proceeding will be EI indexed. Exceptional papers will be recommended for publication in renowned SCI-indexed journals, including the CAAI Transactions on Intelligence Technology.
Submission website:
https://easychair.org/conferences/?conf=aiedm2024

Important Dates

Organizers

• Workshop Co-Chairs
  
  • Jia Zhu, Zhejiang Normal University, China
  • Xiang Zhao, National University of Defense Technology, China
• Program Committee Members
  
  • Ke Deng, RMIT, Australia
  • Zhixu Li, Fudan University, China
  • Min Yang, Chinese Academy of Sciences, China
  • Penghe Chen, Beijing Normal University, China
  • Lingling Zhang, Xi'an Jiaotong University, China
  • Pasquale De Meo, University of Messina, Italy
  • Jie Shao, University of Electronic Science and Technology of China, China
  • Muhammad Umair Hassan, Norwegian University of Science and Technology, Norway
  • Yu Yang, The Hong Kong Polytechnic University, China
  • Ronghua Lin, South China Normal University, China
  • Qionghao Huang, Zhejiang Normal University, qhhuang@zjnu.edu.cn