Educational Data Mining 2025

2024-12-03 | 教师教学发展中心

ed m

In an era dominated by artificial intelligence, where machines can surpass human performance in numerous cognitive tasks, it’s imperative that our educational systems evolve. As AI reshapes the workforce, traditional incentives that motivate learning are rapidly changing. This shift presents a unique opportunity—and necessity—for the educational data mining (EDM) community to redefine learning objectives and outcomes. We are poised to lead the transformation in education by leveraging our dual expertise in AI and educational science, ensuring that future generations benefit from these advances.

Topic of Interests

  • Developing new techniques for mining educational data

  • Domain Knowledge Modeling

  • Educational Recommenders, Instructional Sequencing, and Personalized Learning

  • Equity, Privacy, Transparency, and Fairness

  • Human Factors, Transparency, and Explainability

  • Learner Cognitive and Behavior Modeling and its association with performance

  • Learner Knowledge and Performance Modeling

  • Comparing Human and Artificial Intelligence

  • Learning Analytics

  • Social and Collaborative Learning

  • Reproducibility

 

Date and Time: July 20–23, 2025.

Location: Palermo, Italy

For more information:https://educationaldatamining.org/edm2025/

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