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DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice
  Questions

DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions

19 November 2021
Lin Ni
Qiming Bao
Xiaoxuan Li
Qianqian Qi
Paul Denny
Jim Warren
Michael Witbrock
Jiamo Liu
    AI4Ed
ArXivPDFHTML

Papers citing "DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions"

3 / 3 papers shown
Title
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao
Juho Leinonen
A. Peng
Wanjun Zhong
Gael Gendron
Tim Pistotti
Alice Huang
Paul Denny
Michael Witbrock
J. Liu
AI4Ed
LRM
173
1
0
20 Jan 2025
Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?
Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?
Leonidas Zotos
H. Rijn
Malvina Nissim
ELM
42
2
0
07 Jul 2024
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Qiming Bao
A. Peng
Tim Hartill
N. Tan
Zhenyun Deng
Michael Witbrock
Jiamou Liu
ReLM
OOD
NAI
LRM
29
13
0
28 Jul 2022
1