Automatic distractor generation in multiple-choice questions: a systematic literature review
HW Awalurahman, I Budi - PeerJ Computer Science, 2024 - peerj.com
Background Multiple-choice questions (MCQs) are one of the most used assessment
formats. However, creating MCQs is a challenging task, particularly when formulating the …
formats. However, creating MCQs is a challenging task, particularly when formulating the …
Closing the gap: Automated distractor generation in japanese language testing
T Andersson, P Picazo-Sanchez - Education Sciences, 2023 - mdpi.com
Recent advances in natural language processing have increased interest in automatic
question generation, particularly in education (eg, math, biology, law, medicine, and …
question generation, particularly in education (eg, math, biology, law, medicine, and …
ClimaQA: An Automated Evaluation Framework for Climate Foundation Models
The use of foundation models in climate science has recently gained significant attention.
However, a critical issue remains: the lack of a comprehensive evaluation framework …
However, a critical issue remains: the lack of a comprehensive evaluation framework …
[HTML][HTML] English grammar multiple-choice question generation using Text-to-Text Transfer Transformer
P Chomphooyod, A Suchato, N Tuaycharoen… - … and Education: Artificial …, 2023 - Elsevier
Abstract English grammar multiple-choice questions (MCQs) can be automatically
generated to reduce preparation time. Previous studies have focused on semiautomated …
generated to reduce preparation time. Previous studies have focused on semiautomated …
A lecture centric automated distractor generation for post-graduate software engineering courses
Critical circumstances, natural disasters or pandemics like COVID 19 gave rise to the wide
applicability of E-learning into education system. Efficient and fair online assessment is very …
applicability of E-learning into education system. Efficient and fair online assessment is very …
The unified difficulty ranking mechanism for automatic multiple choice question generation in digital storytelling domain
LL Shwe, S Matayong, S Witosurapot - Education and Information …, 2024 - Springer
Abstract Multiple Choice Questions (MCQs) are an important evaluation technique for both
examinations and learning activities. However, the manual creation of questions is time …
examinations and learning activities. However, the manual creation of questions is time …
Evaluation of influencing factors of China university teaching quality based on fuzzy logic and deep learning technology
J Yu - PloS one, 2024 - journals.plos.org
Nowadays, colleges and universities focus on the assessment model for considering
educational offers, suitable environments, and circumstances for students' growth, as well as …
educational offers, suitable environments, and circumstances for students' growth, as well as …
Aspect based sentiment analysis using multi‐criteria decision‐making and deep learning under COVID‐19 pandemic in India
R Dutta, N Das, M Majumder… - CAAI Transactions on …, 2023 - Wiley Online Library
The COVID‐19 pandemic has a significant impact on the global economy and health. While
the pandemic continues to cause casualties in millions, many countries have gone under …
the pandemic continues to cause casualties in millions, many countries have gone under …
Automatic Item Generation with Reading Passages: A Systematic Literature Review
H Setiawan, I Hidayah… - 2022 8th International …, 2022 - ieeexplore.ieee.org
Automatic Item Generation (AIG) is a system to generate items/questions automatically with
a model using computer technology. AIG can help teachers to provide questions in …
a model using computer technology. AIG can help teachers to provide questions in …
Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI
Recent advancements in Educational AI have focused on models for automatic question
generation. Yet, these advancements face challenges:(1) their" black-box" nature limits …
generation. Yet, these advancements face challenges:(1) their" black-box" nature limits …