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3. PapagAI:Automated Feedback for Reflective Essays

4. What Students Can Learn About Artificial Intelligence -- Recommendations for K-12 Computing Education

5. Data, Trees, and Forests -- Decision Tree Learning in K-12 Education

6. Data-related concepts for artificial intelligence education in K-12

7. Functional dependence following intensive care unit-treated sepsis: three-year follow-up results from the prospective Mid-German Sepsis Cohort (MSC)Research in context

8. Peer creation and sharing of mnemonics in collaborative documents for pathology education: a pilot study

11. Functional dependence following intensive care unit-treated sepsis: three-year follow-up results from the prospective Mid-German Sepsis Cohort (MSC)

13. Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique Digital Health Training Culture: Prospective Analysis

16. PapagAI: Automated Feedback for Reflective Essays.

20. Foundations of Computer Science in General Teacher Education – Findings and Experiences from a Blended-Learning Course

21. Introducing Artificial Intelligence Literacy in Schools: A Review of Competence Areas, Pedagogical Approaches, Contexts and Formats

22. PapagAI: Automated Feedback for Reflective Essays

23. Barcamps or unconferences as an emerging paradigm in medical education: Insights from a pilot and feasibility mixed methods study.

25. Conclusion

28. Potential of Computer Science Education

29. Goals at the Level of the Children

38. PapagAI: Automated Feedback for Reflective Essays

40. Early Computer Science Education – Goals and Success Criteria for Pre-Primary and Primary Education

47. Einführung

48. Risikomaße

49. Fallstudien

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