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You have come a long way. Congratulations! On you journey into the world of machine learning in science education research you traveled along the coasts of technical fundamentals of ML and methodological considerations that guide the use of ML. Later, you ventured into the wild and took your first steps on the sometimes slippery slopes of the case studies. Finally, you took a walk through the park of ethical and procedural principles that may guide your future ML journey and where offered a vista on the emerging topics in the field.

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Conclusions

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Marcus Kubsch,
  • Christina Krist,
  • Peter Wulff

摘要

You have come a long way. Congratulations! On you journey into the world of machine learning in science education research you traveled along the coasts of technical fundamentals of ML and methodological considerations that guide the use of ML. Later, you ventured into the wild and took your first steps on the sometimes slippery slopes of the case studies. Finally, you took a walk through the park of ethical and procedural principles that may guide your future ML journey and where offered a vista on the emerging topics in the field.