A novel framework for the generation of multiple choice question stems using semantic and machine-learning techniques

HIGHLIGHTS

SUMMARY

AQG in this research has generated a variety of MCQs like Cloze and Wh-type questions (questions starting with `Where`, `What`, and many more.). The main reason is that verbalizing ontology into Cloze questions generates grammatically incorrect questions (Faizan and amp; Lohmann, 2018). Based on the review by Ch and Saha, ML generates reasonably good Cloze questions but fails to generate grammatically correct Wh-type questions compared to the ontology technique. RQ1: Can a system automatically generate different Wh-type and Cloze question stems for a technical domain? 2. This research proposes a hybrid_approach . . .

 



If you want to have access to all the content you need to log in!

Thanks :)

Username or Email

Password

Remember me

Lost your password?

If you don't have an account, you can create one here.