A systematic review of automatic question generation for educational purposes

G Kurdi, J Leo, B Parsia, U Sattler… - International Journal of …, 2020 - Springer
While exam-style questions are a fundamental educational tool serving a variety of
purposes, manual construction of questions is a complex process that requires training …

Automatic multiple choice question generation from text: A survey

DR Ch, SK Saha - IEEE Transactions on Learning …, 2018 - ieeexplore.ieee.org
Automatic multiple choice question (MCQ) generation from a text is a popular research area.
MCQs are widely accepted for large-scale assessment in various domains and applications …

Machine learning–driven language assessment

B Settles, G T. LaFlair, M Hagiwara - Transactions of the Association …, 2020 - direct.mit.edu
We describe a method for rapidly creating language proficiency assessments, and provide
experimental evidence that such tests can be valid, reliable, and secure. Our approach is the …

A survey on recent approaches to question difficulty estimation from text

L Benedetto, P Cremonesi, A Caines, P Buttery… - ACM Computing …, 2023 - dl.acm.org
Question Difficulty Estimation from Text (QDET) is the application of Natural Language
Processing techniques to the estimation of a value, either numerical or categorical, which …

Text-based question difficulty prediction: A systematic review of automatic approaches

S AlKhuzaey, F Grasso, TR Payne… - International Journal of …, 2023 - Springer
Designing and constructing pedagogical tests that contain items (ie questions) which
measure various types of skills for different levels of students equitably is a challenging task …

Question difficulty prediction for multiple choice problems in medical exams

Z Qiu, X Wu, W Fan - Proceedings of the 28th ACM International …, 2019 - dl.acm.org
In the ITS (Intelligent Tutoring System) services, personalized question recommendation is a
critical function in which the key challenge is to predict the difficulty of each question. Given …

Complexity and difficulty of items in learning systems

R Pelánek, T Effenberger, J Čechák - International Journal of Artificial …, 2022 - Springer
Complexity and difficulty are two closely related but distinct concepts. These concepts are
important in the development of intelligent learning systems, eg, for sequencing items …

Automatic computer science domain multiple-choice questions generation based on informative sentences

F Maheen, M Asif, H Ahmad, S Ahmad, F Alturise… - PeerJ Computer …, 2022 - peerj.com
Students require continuous feedback for effective learning. Multiple choice questions
(MCQs) are extensively used among various assessment methods to provide such …

Automated estimation of item difficulty for multiple-choice tests: An application of word embedding techniques

FY Hsu, HM Lee, TH Chang, YT Sung - Information Processing & …, 2018 - Elsevier
Pretesting is the most commonly used method for estimating test item difficulty because it
provides highly accurate results that can be applied to assessment development activities …

Textual complexity as a predictor of difficulty of listening items in language proficiency tests

A Loukina, SY Yoon, J Sakano, Y Wei… - … of COLING 2016, the …, 2016 - aclanthology.org
In this paper we explore to what extent the difficulty of listening items in an English language
proficiency test can be predicted by the textual properties of the prompt. We show that a …