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G-EDM 2017.pdf

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Preview of G-EDM 2017
🔗 Source: educationaldatamining.org
📊 Size: 257 KB
📄 Pages: 2 pages
⬇️ Downloads: 93

Summary

Graph-based Educational Data Mining (G-EDM) involves analyzing large amounts of educational graph data, including user-system interaction logs, student-produced graphical representations, and conceptual hierarchies, to extract pedagogical information and improve teaching effectiveness and student learning. The G-EDM 2017 workshop aims to bring together researchers to discuss state-of-the-art tools and technologies, identify common problems and challenges, and foster a community for further collaboration, covering topics such as social network data, graphical solution representations, and graph-based log analysis.

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Description

Graph-based Educational Data Mining (G-EDM) involves analyzing large amounts of educational graph data, including user-system interaction logs,...

Technical Information

  • File Format: PDF
  • File Size: 257 KB
  • Pages: 2
  • Language: EN
  • Total Downloads: 93
  • Last Updated: 4 hours ago

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