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Reading Discussions Become a Newsletter

Designing major courses in an AI era where writing becomes media. A 58-slide colloquium presentation connecting research, reading, recorded judgments, and production through each student's personal newsroom.

Hallym University Media School and university faculty · Institute of Information Technology and Culture Colloquium · Media Education in the AI Era · 2026.06.10

Open presentation ↗ Read on the web
Reading Discussions Become a Newsletter — original cover of the June 10, 2026 Media School colloquium

What this project covers

  • Teaching and recording the problem-solving process alongside outcomes in the AI era
  • Course design linking research and journalism examples to students' primary sources and human judgment
  • A personal newsroom separating collection, understanding, and action, and connecting reading, discussion, and writing through newsletters

Presentation outline

Expand the full outline
  1. An era of assessing process alongside results
  2. Reading Discussions Become a Newsletter
  3. SK's AI competency certification exam appeared on the nine o'clock news
  4. Nine years of experience: A; twenty years: B — even experienced KBS reporters struggled
  5. Reporter Bang Jun-won
  6. Reporter Kim Jun-beom
  7. Two exam stages: literacy, then bootcamp
  8. New broadcast producers may soon face the same: three abilities assessed together
  9. Writing and planning
  10. Structuring work with AI
  11. Executing through vibe coding
  12. AI use and judgment in academic work
  13. Of 4,946 researchers worldwide, only 1,043 had actually used AI in research
  14. For 66%, the barrier was not ability but a lack of training or guidance
  15. 44% needed AI training
  16. 22% did not know where to start
  17. What is acceptable? Editing: 90%; translation: 91%
  18. Yet a majority said AI should never be used for Methods, Results, or Discussion
  19. Papers that used AI as a tool were far ahead
  20. Number of papers published
  21. Citation count
  22. Time to promotion as a team leader
  23. A reversal in just seven months
  24. 52% strongly opposed AI in peer review
  25. Already using AI in peer review (around 1,600 respondents worldwide)
  26. Six academic recommendations, all pointing toward process
  27. Transparency and responsibility
  28. AI literacy education
  29. Ethics and integrity
  30. Equity and access
  31. Community participation
  32. Policy leadership
  33. The human role that journalism demands
  34. Core graduate competencies: the same four abilities
  35. Journalists who use AI effectively follow the same pattern
  36. Create primary material
  37. Assist
  38. Make final judgments and publish
  39. Repeatable action and records
  40. Agentic Investigation Challenge — an ongoing challenge at the time of the presentation
  41. Four deliverables: documenting process alongside results
  42. Agent Skills
  43. Findings (PDF)
  44. Interaction Traces (JSON)
  45. README.md
  46. A structure for records that retain the process
  47. Three paths point to one destination
  48. SK AX
  49. Nature · Frontiers
  50. Northwestern
  51. Five stages of AI: from prompts to harnesses
  52. The national AI strategy committee adopted Markdown as a standard document format
  53. The same file: clean to human eyes, broken for AI
  54. The issue is the form of the record, not simply whether one exists
  55. I know, but I do not act
  56. Little more than temporary storage
  57. Existing only in one's head
  58. Awareness ≠ Action
  59. A workspace separating collection, understanding, and action
  60. The key is separating collection, understanding, and action
  61. CMDS LLM Wiki
  62. CMDS Vault
  63. Achmage OS
  64. A place to collect, a place to understand, a place to create
  65. Collect material → Judge understanding → Accumulate knowledge → Act
  66. Research desk · Editorial and reading notes · Production desk
  67. LLM Wiki
  68. Vault
  69. Achmage OS
  70. Ten principles for sustained reading and writing
  71. Reading Discussions Become a Newsletter

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