mlsanityData to 7 Oct 2026

LLMs in Education: Novel Perspectives, Challenges, and Opportunities

arXiv 2409.11917 ↗First posted 18 Sep 2024cs.CLcited by 7

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Abstract (arXiv)

The role of large language models (LLMs) in education is an increasing area of interest today, considering the new opportunities they offer for teaching, learning, and assessment. This cutting-edge tutorial provides an overview of the educational applications of NLP and the impact that the recent advances in LLMs have had on this field. We will discuss the key challenges and opportunities presented by LLMs, grounding them in the context of four major educational applications: reading, writing, and speaking skills, and intelligent tutoring systems (ITS). This COLING 2025 tutorial is designed for researchers and practitioners interested in the educational applications of NLP and the role LLMs have to play in this area. It is the first of its kind to address this timely topic.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 34 of its 92 references that are in the map. First posted on arXiv 18 Sep 2024.

Builds on

34 of 92 references.

References · 34

  1. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  3. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  4. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  5. 2021HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Unitscited by 2,301
  6. 2019MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalismscited by 653
  7. 2023Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Modelscited by 591
  8. 2024Large Language Models for Education: A Survey and Outlookcited by 185
  9. 2020GECToR -- Grammatical Error Correction: Tag, Not Rewritecited by 177
  10. 2023MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problemscited by 128
  11. 2024VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wildcited by 118
  12. 2023Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluationcited by 97
22 more
  1. 2017JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correctioncited by 96
  2. 2023CoEdIT: Text Editing by Task-Specific Instruction Tuningcited by 67
  3. 2016Automatic Text Scoring Using Neural Networkscited by 51
  4. 2023Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakescited by 51
  5. 2024Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutorscited by 39
  6. 2023Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methodscited by 37
  7. 2023Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instructioncited by 37
  8. 2023BLESS: Benchmarking Large Language Models on Sentence Simplificationcited by 34
  9. 2022Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learningcited by 29
  10. 2021Trends, Limitations and Open Challenges in Automatic Readability Assessment Researchcited by 28
  11. 2023Advancements in Arabic Grammatical Error Detection and Correction: An Empirical Investigationcited by 22
  12. 2022Proficiency assessment of L2 spoken English using wav2vec 2.0cited by 20
  13. 2023Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplificationcited by 20
  14. 2024GPT-3.5 for Grammatical Error Correctioncited by 18
  15. 2022Czech Grammar Error Correction with a Large and Diverse Corpuscited by 17
  16. 2024How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzescited by 17
  17. 2023Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehensioncited by 16
  18. 2024Can GPT-4 do L2 analytic assessment?cited by 16
  19. 2024mEdIT: Multilingual Text Editing via Instruction Tuningcited by 13
  20. 2024ReadCtrl: Personalizing text generation with readability-controlled instruction learningcited by 10
  21. 2021Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systemscited by 8
  22. 2023Prompt-based Learning for Text Readability Assessmentcited by 8

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 4.

7 papers.

  1. 2025Learning "Partner-Aware" Collaborators in Multi-Party Collaborationcited by 2
  2. 2025A Review on Large Language Models for Visual Analyticscited by 1
  3. 2026GuideAI: A Real-time Personalized Learning Solution with Adaptive Interventionscited by 1
  4. 2025Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statisticscited by 0
  5. 2026No Universal Courtesy: A Cross-Linguistic, Multi-Model Study of Politeness Effects on LLMs Using the PLUM Corpuscited by 0
  6. 2026Adaptive Multi-Value Control in LLMs via Causal Activation Steeringcited by 0
  7. 2026A Benchmark for LLM's Understanding of Middle School and High School Science Topicscited by 0