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 …

Mining big data in education: Affordances and challenges

C Fischer, ZA Pardos, RS Baker… - Review of Research …, 2020 - journals.sagepub.com
The emergence of big data in educational contexts has led to new data-driven approaches
to support informed decision making and efforts to improve educational effectiveness. Digital …

Personalized education in the artificial intelligence era: what to expect next

S Maghsudi, A Lan, J Xu… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
The objective of personalized learning is to design an effective knowledge acquisition track
that matches the learner's strengths and bypasses his/her weaknesses to ultimately meet …

[HTML][HTML] End-to-end generation of multiple-choice questions using text-to-text transfer transformer models

R Rodriguez-Torrealba, E Garcia-Lopez… - Expert Systems with …, 2022 - Elsevier
The increasing worldwide adoption of e-learning tools and widespread increase of online
education has brought multiple challenges, including the ability of generating assessments …

A review on question generation from natural language text

R Zhang, J Guo, L Chen, Y Fan, X Cheng - ACM Transactions on …, 2021 - dl.acm.org
Question generation is an important yet challenging problem in Artificial Intelligence (AI),
which aims to generate natural and relevant questions from various input formats, eg …

Cycle-consistency for robust visual question answering

M Shah, X Chen, M Rohrbach… - Proceedings of the …, 2019 - openaccess.thecvf.com
Despite significant progress in Visual Question Answer-ing over the years, robustness of
today's VQA models leave much to be desired. We introduce a new evaluation protocol and …

Towards human-like educational question generation with large language models

Z Wang, J Valdez, D Basu Mallick… - … conference on artificial …, 2022 - Springer
We investigate the utility of large pretrained language models (PLMs) for automatic
educational assessment question generation. While PLMs have shown increasing promise …

ReadingQuizMaker: a human-NLP collaborative system that supports instructors to design high-quality reading quiz questions

X Lu, S Fan, J Houghton, L Wang, X Wang - Proceedings of the 2023 …, 2023 - dl.acm.org
Despite that reading assignments are prevalent, methods to encourage students to actively
read are limited. We propose a system ReadingQuizMaker that supports instructors to …

Recent advances in neural question generation

L Pan, W Lei, TS Chua, MY Kan - arXiv preprint arXiv:1905.08949, 2019 - arxiv.org
Emerging research in Neural Question Generation (NQG) has started to integrate a larger
variety of inputs, and generating questions requiring higher levels of cognition. These trends …

Quiz maker: Automatic quiz generation from text using NLP

E Gabajiwala, P Mehta, R Singh, R Koshy - Futuristic Trends in Networks …, 2022 - Springer
In the past few years, there has been great technological advancement in the field of deep
learning and natural language processing. One of the applications is automatic generation …