11 citations · 11 across the 1 of their papers we have counts for
2 papers
cs.CL2020
Introducing a framework to assess newly created questions with Natural Language Processing
Luca Benedetto, Andrea Cappelli, Roberto Turrin +1
Statistical models such as those derived from Item Response Theory (IRT) enable the assessment of students on a specific subject, which can be useful for several purposes (e.g., le…
cs.LG2020★ 11 cited
R2DE: a NLP approach to estimating IRT parameters of newly generated questions
Luca Benedetto, Andrea Cappelli, Roberto Turrin +1
The main objective of exams consists in performing an assessment of students' expertise on a specific subject. Such expertise, also referred to as skill or knowledge level, can the…