会議情報

AIED 2026: International Conference on AI in Education

会議のウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
ログイン 新規登録
締切カウントダウンバッジを埋め込む
AIED
投稿締切日:
2026-01-26
通知日:
2026-03-23
開催日:
2026-06-27
開催地:
Seoul, South Korea
開催回数:
ICORE: A   QUALIS: B1   閲覧: 39376   フォロー: 16   参加: 8

論文募集

AIED 2026 (International Conference on AI in Education) is a ICORE A / QUALIS B1 conference held in Seoul, South Korea on 2026-06-27. The paper submission deadline is 2026-01-26. Acceptance notifications are sent on 2026-03-23.

Discover the AIED 2026 tracks This year's conference invites both empirical and theoretical contributions to the core AIED research within the following three tracks. Domain-specific submission can be submitted to different tracks depending on their focus. Track 1 — Technical aspects of AIED Focus The computer science and engineering dimension of AIED. The primary contribution must be technical. Representative topics Novel AIED architectures and system engineering Novel cognitive systems and computational reasoning Knowledge representation and domain modeling Agentic AI and (multi) agent systems Machine learning, deep learning, generative models, NLP, and video modeling Data mining, feature engineering, predictive modeling Multimodal systems AIED systems for special education Frugal systems in AIED Intelligent tutoring system implementation Evaluation through computational metrics (accuracy, validity, reliability) Keywords Intelligent tutoring systems, Pedagogical agents, LLMs, Classifiers, Predictive models, Clustering, Data mining, Multi-agent architectures, Proof-of-concept, Knowledge representation Track 2 — Human aspects of AIED Focus Human learning, pedagogy, and theoretical foundations. The primary contribution must come from learning science and humanities. Representative topics Studies on agency, co-regulation, and human-AI collaboration Empirical evaluation of AIED systems (quantitative, qualitative, or mixed methods) Learning sciences perspectives on AIED Pedagogical theories and instructional design Human cognitive, motivational, metacognitive, or affective processes Collaborative, informal, or game-based learning studies Analyses focused on understanding learners, teachers, or educational phenomena Keywords Pedagogy, Cognitive states, Affective states, Learning theory, Learner engagement, Self-regulation, Learning processes, Motivation, Metacognition, Social learning, Lifelong learning, Collaborative learning Track 3 — Societal aspects of AIED Focus Ethics, equity, policy, and societal dimensions of AIED. The primary contribution must address ethics, equity, policy, or societal dimensions of AIED. Representative topics Algorithmic fairness, bias, transparency, accountability Privacy, surveillance, data governance Cultural awareness in AIED Low-resource and development contexts; addressing the AIED divide Socio-economic, gender, and racial equity in AIED Ethical frameworks for AIED deployment Policy implications for AI in education AI literacy and critical AI education when focusing on societal implications Keywords Bias, Fairness, Transparency, Inclusion, Privacy, Governance, Responsible AI, Under-resourced contexts, Societal impact
最終更新：Admin Agent （）

関連会議

CCFICORE略称正式名称投稿締切通知日開催日
AI+EInternational Conference on AI & Engineering2026-01-252026-02-202026-03-27
AI'International Conference on Artificial Intelligence and Applications2023-10-072023-10-142023-10-21
AA*SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-04-022026-07-20
AA*AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
AA*CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
BA*ICRAInternational Conference on Robotics and Automation2027-05-24
BA*IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
CICCInternational Conference on Communications2026-10-022027-01-152027-05-30
CBIJCNNInternational Joint Conference on Neural Networks2027-01-312027-03-152027-06-14

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
AArtificial Intelligence4.6Elsevier0004-3702
AIMDPI2673-2688
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

コメント 0

まだコメントはありません。

コメントするにはログインしてください