AIED 2025 Tutorial:
NLP and Generative AI for Language Learning and Assessment

Zheng Yuan1, Mariano Felice2, Yunshi Lan3, Qiao Wang4
1University of Sheffield, UK, 2British Council, UK, 3East China Normal University, China, 4Hosei University, Japan

Date and Time: 9:00-13:00, July 26, 2025 (local time, Italy)
Location: Palermo, Italy

About this Tutorial

This half-day tutorial explores the applications of Natural Language Processing (NLP) and Generative AI in language learning and assessment. Led by experts with multi-disciplinary backgrounds, the session will take place at AIED 2025 and aligns with the conference theme of using AI to create inclusive, personalized, and ethical education.

The tutorial is structured into five main sections:

  1. Introduction to Educational NLP
  2. NLP applications in teaching and learning including tutoring systems and automatic item generation
  3. Assessment technologies such as grammatical error correction and automated writing evaluation
  4. Ethical considerations in educational AI
  5. Future directions in the field

A special emphasis will be placed on how Large Language Models (LLMs) are transforming language education through personalized learning experiences and innovative assessment approaches.

Participants from diverse backgrounds—including AI researchers, educators, EdTech professionals, and graduate students—will gain practical insights into implementing NLP technologies in educational contexts. Through discussions, case studies, and demonstrations, attendees will learn how to leverage cutting-edge AI techniques to enhance learning experiences, create more equitable assessment systems, and address real-world challenges in language education. All tutorial materials will be made publicly available through the organizers' websites and GitHub repositories.

Schedule

Time Session Duration Speaker(s)
09:00–09:20 1. Introduction to Educational NLP 20 mins Yunshi
09:20–10:30 2. Teaching and Learning
09:20–09:50 └─ Tutoring Systems 30 mins Yunshi
09:50–10:20 └─ Automatic Item Generation 30 mins Mariano
10:20–10:30 └─ Q&A 10 mins —
10:30–11:00 ☕ Coffee Break 1 30 mins —
11:00–12:10 3. Assessment
11:00–11:30 └─ Grammatical Error Correction 30 mins Zheng & Qiao
11:30–12:00 └─ Automated Writing Evaluation 30 mins Qiao
12:00–12:10 └─ Q&A 10 mins —
12:10–12:20 ☕ Coffee Break 2 10 mins —
12:20–12:40 4. Ethics 20 mins Mariano
12:40–13:00 5. Moving Forward 20 mins Zheng

Downloads

BibTeX

@article{nlp-generative-ai-language-tutorial,
  author    = {Yuan, Zheng and Felice, Mariano and Lan, Yunshi and Wang, Qiao},
  title     = {NLP and Generative AI for Language Learning and Assessment: Synergies between Research and Practice},
  journal   = {AIED 2025},
  year      = {2025},
}