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Heilman and Smith (2009) came up with similar criteria for ranking the questions generated from Wikipedia and also discussed an important additional issue: over-generation.
From here the groups plan to investigate some of the additional questions generated from today's work.
Professionally written questions beat the questions generated from the knowledge base in both pedagogy and depth.
In order to compare questions generated from the knowledge base, mined from the web, and collected from textbooks, we first examined the coverage of the human-generated questions (the latter two categories) by the questions generated from the knowledge base.
These results indicate that the number and the quality of the questions generated from the constraints varied substantially.
The questions mined from the web received marginally higher pedagogy ratings than the questions generated from the knowledge base.
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Open cloze questions are difficult to answer than the other objective type questions like MCQs or CQs; moreover, question generated from complex or compound sentence has a more complicated answer rather than the simple sentence.
Questions were generated from question schemas, where a schema is a template with extra information.
Suggesting methods to evaluate vocabulary questions generated by an automatic question generation system from two different perspectives (teacher and student).
Four programs (31%) had predefined journal club curricula, and only one program reported journal club article selection from clinical questions generated on shift.
The questions generated by these two methods were compared to questions from biology textbooks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com