mlsanityData to 7 Oct 2026

Scalable Educational Question Generation with Pre-trained Language Models

arXiv 2305.07871 ↗First posted 13 May 2023cs.AI cs.CY cs.IRcited by 19

Not on the map. Why?

Abstract (arXiv)

The automatic generation of educational questions will play a key role in scaling online education, enabling self-assessment at scale when a global population is manoeuvring their personalised learning journeys. We develop textitEduQG, a novel educational question generation model built by adapting a large language model. Our extensive experiments demonstrate that textitEduQG can produce superior educational questions by further pre-training and fine-tuning a pre-trained language model on the scientific text and science question data.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 14 of its 21 references that are in the map. First posted on arXiv 13 May 2023.

Builds on

14 of 21 references.

References · 14

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  3. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  4. 2017Crowdsourcing Multiple Choice Science Questionscited by 742
  5. 2017Learning to Ask: Neural Question Generation for Reading Comprehensioncited by 186
  6. 2021BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translationcited by 35
  7. 2018Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generationcited by 25
  8. 2019TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resourcescited by 18
  9. 2020Simplifying Paragraph-level Question Generation via Transformer Language Modelscited by 12
  10. 2022Leaf: Multiple-Choice Question Generationcited by 9
  11. 2021Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolutioncited by 6
  12. 2020A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generationcited by 4
2 more
  1. 2021Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systemscited by 3
  2. 2022Pre-Training With Scientific Text Improves Educational Question Generationcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 7; 2025: 5; 2026: 5.

19 papers.

Sort:

By area:

  1. 2024Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and Evaluationcited by 29
  2. 2023Can We Trust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resourcescited by 12
  3. 2024An Automatic Question Usability Evaluation Toolkitcited by 9
  4. 2024Building a Domain-specific Guardrail Model in Productioncited by 6
  5. 2024Large Language Models Meet User Interfaces: The Case of Provisioning Feedbackcited by 4
  6. 2024MathViz-E: A Case-study in Domain-Specialized Tool-Using Agentscited by 4
  7. 2024Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trendscited by 3
  8. 2024GPT-Powered Elicitation Interview Script Generator for Requirements Engineering Trainingcited by 3
  9. 2025TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Modelscited by 2
  10. 2025Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Modelscited by 2
  11. 2025Enhancing Diversity of LLM-Generated Educational Taskscited by 2
  12. 2026Cognitively Diverse Multiple-Choice Question Generation: A Hybrid Multi-Agent Framework with Large Language Modelscited by 2
7 more
  1. 2026Small, Private Language Models as Teammates for Educational Assessment Designcited by 2
  2. 2026Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoningcited by 1
  3. 2023Multi-dimensional data refining strategy for effective fine-tuning LLMscited by 0
  4. 2025Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding Is Hintedcited by 0
  5. 2025Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Educationcited by 0
  6. 2026Mix and Match: Context Pairing for Scalable Topic-Controlled Educational Summarisationcited by 0
  7. 2026KT4EQG: Personalized Exercise Question Generation via Knowledge Tracingcited by 0