---
title: "AIED (A): papers and universities"
description: "AIED (International Conference on Artificial Intelligence in Education) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 681 of its papers from 2024–2026 (83 in 2024, 249 in 2025, 349 in 2026). By the countries of the authors' institutions, the most papers come from the United States (292), China (62) and Germany (52)."
url: https://scholar4ai.com/proceedings/aied
markdown_url: https://scholar4ai.com/proceedings/aied.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "AIED (International Conference on Artificial Intelligence in Education) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 681 of its papers from 2024–2026 (83 in 2024, 249 in 2025, 349 in 2026). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# AIED: International Conference on Artificial Intelligence in Education — papers and institutions, 2024–2026

Papers of AIED, International Conference on Artificial Intelligence in Education (CORE rank A; field: Applied computing, Human-centred computing), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- AIED (International Conference on Artificial Intelligence in Education) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 681 of its papers from 2024–2026 (83 in 2024, 249 in 2025, 349 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (292), China (62) and Germany (52).
- The institutions with the most papers are Carnegie Mellon University (44), North Carolina State University (22) and Monash University (20).
- Its most-cited paper of these years is “Automated Educational Question Generation at Different Bloom’s Skill Levels Using Large Language Models: Strategies and Evaluation” (2024), with 75 citations.

## Papers per year

*AIED papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 83 | 82 |
| 2025 | 249 | 243 |
| 2026 | 349 | 340 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S106296714](https://openalex.org/S106296714) | Papers of the volumes titled “Artificial Intelligence in Education” (LNAI (not the posters and workshops volumes)), found by DOI through Crossref |

## Who publishes there

*Institutions with the most AIED papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Carnegie Mellon University | 44 |
| 2 | North Carolina State University | 22 |
| 3 | [Monash University](https://scholar4ai.com/institutions/monash-university.md) | 20 |
| 4 | [University of Hong Kong](https://scholar4ai.com/institutions/university-of-hong-kong.md) | 19 |
| 5 | University of Florida | 18 |
| 6 | University of Illinois Urbana-Champaign | 15 |
| 7 | École Polytechnique Fédérale de Lausanne | 14 |
| 8 | University of Massachusetts Amherst | 13 |
| 9 | University of Pennsylvania | 13 |
| 10 | Georgia Institute of Technology | 12 |

*Countries with the most AIED papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 292 |
| 2 | China | 62 |
| 3 | Germany | 52 |
| 4 | Australia | 42 |
| 5 | United Kingdom | 36 |
| 6 | Hong Kong | 33 |
| 7 | Japan | 30 |
| 8 | Switzerland | 29 |
| 9 | Canada | 28 |
| 10 | Brazil | 23 |

*Keywords with the most AIED papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 209 |
| 2 | artificial intelligence in education | 65 |
| 3 | intelligent tutoring systems | 45 |
| 4 | [generative AI](https://scholar4ai.com/keywords/generative-ai.md) | 43 |
| 5 | student engagement | 42 |
| 6 | AI literacy | 37 |
| 7 | programming education | 37 |
| 8 | personalized learning | 36 |
| 9 | generative AI in education | 31 |
| 10 | ChatGPT | 26 |

## Most-cited papers

*Most-cited AIED papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 75 | [Automated Educational Question Generation at Different Bloom’s Skill Levels Using Large Language Models: Strategies and Evaluation](https://doi.org/10.1007/978-3-031-64299-9_12) | 2024-01-01 | Nicy Scaria, Suma Dharani Chenna, Deepak Subramani |
| 2 | 65 | [How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging](https://doi.org/10.1007/978-3-031-64302-6_19) | 2024-01-01 | Qianou Ma, Hua Shen, Kenneth R. Koedinger et al. |
| 3 | 60 | [Jill Watson: A Virtual Teaching Assistant Powered by ChatGPT](https://doi.org/10.1007/978-3-031-64302-6_23) | 2024-01-01 | Karan Taneja, Pratyusha Maiti, Sandeep Kakar et al. |
| 4 | 54 | [Math Education With Large Language Models: Peril or Promise?](https://doi.org/10.1007/978-3-031-98459-4_5) | 2025-01-01 | Harsh Kumar, David M. Rothschild, Daniel G. Goldstein et al. |
| 5 | 51 | [ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development](https://doi.org/10.1007/978-3-031-64299-9_10) | 2024-01-01 | Amanda Barany, Nidhi Nasiar, Chelsea Porter et al. |
| 6 | 42 | [Coding with AI: How Are Tools Like ChatGPT Being Used by Students in Foundational Programming Courses](https://doi.org/10.1007/978-3-031-64299-9_20) | 2024-01-01 | Aashish Ghimire, John Edwards |
| 7 | 42 | [Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System](https://doi.org/10.1007/978-3-031-64302-6_6) | 2024-01-01 | Robin Schmucker, Meng Xia, Amos Azaria et al. |
| 8 | 40 | [VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots](https://doi.org/10.1007/978-3-031-64299-9_13) | 2024-01-01 | Lixiang Yan, Linxuan Zhao, Vanessa Echeverría et al. |
| 9 | 34 | [Towards Automated Multiple Choice Question Generation and Evaluation: Aligning with Bloom’s Taxonomy](https://doi.org/10.1007/978-3-031-64299-9_35) | 2024-01-01 | Kevin Hwang, Kenneth Wang, Maryam Alomair et al. |
| 10 | 31 | [Exploring Teachers’ Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education](https://doi.org/10.1007/978-3-031-64299-9_41) | 2024-01-01 | Soon-young Oh, Yongsu Ahn |

## Cite this page

Scholar4AI. (2026). AIED: International Conference on Artificial Intelligence in Education — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/aied

```bibtex
@misc{scholar4ai-proceedings-aied,
  author = {{Scholar4AI}},
  title = {AIED: International Conference on Artificial Intelligence in Education — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/aied}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).