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In this chapter, we explain why ML can be valuable for analyzing complex data in science (education) and show what types of data you might encounter in your research project. We single out important characteristics of these types of data that can become particularly important for the performance of ML algorithms.

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Data in Science Education Research

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Peter Wulff,
  • Marcus Kubsch,
  • Christina Krist

摘要

In this chapter, we explain why ML can be valuable for analyzing complex data in science (education) and show what types of data you might encounter in your research project. We single out important characteristics of these types of data that can become particularly important for the performance of ML algorithms.