All Stories

  1. Where's the Data? Finding and Reusing Datasets in Computing Education
  2. How Instructors Incorporate Generative AI into Teaching Computing
  3. Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics
  4. With Great Power Comes Great Responsibility - Integrating Data Ethics into Computing Education
  5. Feedback-Generation for Programming Exercises With GPT-4
  6. Students' Perceptions of Behaviors Associated with Professional Dispositions in Computing Education
  7. "Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers
  8. Conferences are Exclusive by Nature
  9. Discussing the Changing Landscape of Generative AI in Computing Education
  10. The Robots Are Here: Navigating the Generative AI Revolution in Computing Education
  11. Where's the Data? Exploring Datasets in Computing Education
  12. Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans
  13. Socially Responsible Programming in Computing Education and Expectations in the Profession
  14. Why We Need Open Data in Computer Science Education Research
  15. Computing Students' Understanding of Dispositions: A Qualitative Study
  16. Towards Giving Timely Formative Feedback and Hints to Novice Programmers
  17. Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them
  18. Perspectives on Dispositions in Computing Competencies
  19. A Comparative Study of Programming Competencies in Vocational Training and Higher Education
  20. Fostering Dispositions and Engaging Computing Educators
  21. Quantitative Results from a Study of Professional Dispositions
  22. Professional Competencies in Computing Education
  23. The Boolean Dilemma: Representing Gender as Data Type
  24. Toward Practical Computing Competencies