日本データベース学会の皆様
(重複して受け取られた場合はご容赦ください)
お世話になっております。京都工芸繊維大学のDuanです。
2026年11月13日〜15日に香港で開催されるADMA2026におけるSpecial Session "Educational Data Mining in the Era of Large Language Models (EDM-LLM)" につきまして、投稿締め切りが7月17日に延期されましたのでご案内申し上げます。
ぜひ投稿をご検討いただければ幸いです。
何卒よろしくお願い申し上げます。
+++ General Information +++
The 22nd International Conference on Advanced Data Mining and Applications 2026
Special Session: Educational Data Mining in the Era of Large Language Models (EDM-LLM)
13th ~ 15th November, 2026
Hong Kong
https://adma2026.github.io/
+++ Important Dates +++
- Full/Poster Paper submission: July 17, 2026
- Acceptance notification: September 2, 2026
- Camera-ready papers submission: September 11, 2026
- Conference Dates: November 13-15, 2026
+++ Aims and Scope +++
Educational Data Mining lies at the intersection of data mining, machine learning, the learning sciences, and educational technology. This special session aims to provide a focused forum within ADMA2026 for research on how advanced data mining methods can be used to understand learning processes, support teachers and learners, personalize instruction, and examine the growing role of large language models in educational settings. The session welcomes methodological papers, application papers, benchmark studies, system papers, and reports of industrial practice. It is intended both for work that uses educational data to motivate advances in data mining and for work that applies state of-the-art data mining methods to important educational problems. In particular, the session aims to connect the broader data mining community with real educational challenges involving sequential, relational, textual, code-based, and multimodal data.
+++ Topics +++
The special session will cover, but are not limited to:
- Learner knowledge and performance modeling, knowledge tracing, mastery estimation, and academic risk prediction;
- Domain knowledge modeling, prerequisite discovery, knowledge component discovery, and graph/sequence mining of learning processes;
- Educational recommenders, instructional sequencing, intervention optimization, and reinforcement learning for adaptive learning;
- Multimodal learning analytics using logs, text, code, speech, video, eye-tracking, or classroom interaction data;
- Social and collaborative learning analytics, peer learning, discussion/forum mining, and group interaction modeling;
- Open-ended assessment, automated grading, writing and code analytics, peer review modeling, and educational feedback generation;
- LLM applications in EDM, including intelligent tutoring, hint generation, question generation, feedback synthesis, knowledge component extraction, item difficulty estimation, and classroom support;
- Evaluation of LLMs in education, human-AI comparison, benchmarking against student performance, and studies of AI-assisted learning behaviors;
- Data resources, benchmarks, and cross-platform or cross-institutional studies for educational data mining.
+++ Publication +++
Accepted papers will be published by Springer in their Lecture Notes in Artificial Intelligence (LNAI) and indexed in EI and DBLP.
+++ Submission Instructions +++
Manuscripts must be prepared in accordance with the LNAI format and should not exceed 15 pages. For the template and details on the LNAI style, please check the following website: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…
Papers will go through a full peer review process in a double-blind manner.
Submission site: https://cmt3.research.microsoft.com/ADMA2026
+++ Special Session Chair +++
- Weining Qian, East China Normal University, China
- Yijun Duan, Kyoto Institute of Technology, Japan
- Yun Liu, Kyoto Institute of Technology, Japan
皆様
お世話になっております。
東京科学大学の曹です。
国際会議 *ADMA 2026 (The 22nd International Conference on Advanced Data Mining
and Applications)* の
論文募集（Call for Papers）についてご案内いたします。
ADMA は、データマイニングおよびその応用に関する国際会議であり、
データマイニング理論、アルゴリズム、システム、応用など幅広い研究分野を対象としています。
本会議は *Springer (LNCS/LNAI)* にて proceedings が出版されます。
今年の ADMA は *香港* にて開催されます。
データマイニング、AI、データサイエンスなどの分野に関する研究成果の投稿を歓迎いたします。
------------------------------
■ Conference Information
ADMA 2026 (The 22nd International Conference on Advanced Data Mining and
Applications)
📍 Hong Kong, China
📅 November 1–3, 2026
Conference website
https://adma2026.github.io/
------------------------------
■ Important Dates (Research Track)
-
Paper Submission: *May 29, 2026*
-
Notification: *August 3, 2026*
-
Camera Ready: *August 17, 2026*
------------------------------
■ Calls
Research Track
https://adma2026.github.io/call_for_research_papers.html
Industry Track
https://adma2026.github.io/call_for_industry_papers.html
Special Session Proposals
https://adma2026.github.io/call_for_special_sessions.html
------------------------------
データマイニングおよび関連分野の研究者・学生の皆様からの
ご投稿・ご参加をお待ちしております。
どうぞよろしくお願いいたします。
日本データベース学会の皆様
筑波大の森嶋です．ディジタルライブラリのメジャーカンファレンス ICADL2026
のご案内です．今年はタイです．〆切は7月24日となっております．
https://icadl.net/icadl2026/#call
DLとの関連を書いていただければ，DEIMやWebDBで発表される
多くのトピックはスコープ内ですので，今年も何卒多くのご投稿を
いただければ幸いでございます．
論文集はSpringerから出版され，DBLPにももちろん掲載されます．
どうぞよろしくお願い申し上げます．
森嶋厚行
--
Atsuyuki Morishima <morishima-office(a)ml.cc.tsukuba.ac.jp>
Dean, Institute of Library, Information and Media Science
Leader of the Crowd-in-the-Loop Society Research Team, Institute of
LVibrary, Information and Media Science
Center for Artificial Intelligence Research, University of Tsukuba
https://fusioncomplab.org/people/atsuyuki/
The Crowd4U Initiative
http://crowd4u.org
ISeee Project
http://crowd4u.org/projects/iseee
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