~/talk

Using Open Game Data to Understand Game-Based Learning

Talkat CHI PLAY 2023 · 2023-10-10..10-13· [game-development, data-science]
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Field Day publishes Headlines and High Water telemetry to the Open Game Data Project and uses Jupyter notebooks to analyze thousands of plays per week. Logs show most classroom sessions last ~30 minutes while finishers take >1 hour (≈3 sessions), many players drop after level one, and failures cluster around time gating and low-attribute locks. Telemetry exposes balance issues (weak research stat uptake, endurance-heavy finishers), usable snippet quality flags, and concrete fixes — more gating tweaks and UI changes reduce soft‑locks and improve progression.

AI-written summary · about

  1. 0:00Introduction to session
  2. 5:26About Open Game Data
  3. 14:37Game demo: Headlines and High Water
  4. 32:53Design goals and data analysis
  5. 59:47Player behavior and game balance
  6. 1:10:28Player categorization and clustering
  7. 1:21:45Assessment and learning outcomes
  8. 1:34:00Player engagement and UX
  9. 1:58:37Wrap-up and next steps
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