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With 20 questions and 4 languages we got about 5 questions per language, enough to for a RAG pedagogy to distinguish between
Green = "knows this" (>90%),
Red = "no idea" (<50%) and
Amber = "some understanding".
With 10 languages and only 20 questions the chances are that some languages will only have 1 or 2 questions asked, which tells the user nothing statistically significant. Need to aim for 4 or 5 questions per language.
Should we select just 4 (random?) languages for 1st 20 questions? Then add one more language to each new "continue playing" round of 10 questions, with 50% of questions on the new language and 50% on the existing set?
Maybe we should we stop asking questions on the "knows this" and "no idea" languages? So stop asking questions in a language after scoring 4/4, 0/4 or 1/4?
Don't want to become "hard fun", where assessment is killing the fun in the game. Evidence Centred Design (ECD) means thinking about:
Content model = the languages skills we are exercising = RAG comprehension of each foreign spoken language
Evidence model = observations and behaviours that will show 1 = the scores histogram
Task model = tools to engage in content and elicit 2 = the questions themselves
The text was updated successfully, but these errors were encountered:
With 20 questions and 4 languages we got about 5 questions per language, enough to for a RAG pedagogy to distinguish between
With 10 languages and only 20 questions the chances are that some languages will only have 1 or 2 questions asked, which tells the user nothing statistically significant. Need to aim for 4 or 5 questions per language.
Don't want to become "hard fun", where assessment is killing the fun in the game. Evidence Centred Design (ECD) means thinking about:
The text was updated successfully, but these errors were encountered: