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ICAITE 2026: International Conference on Artificial Intelligence and Teacher Education

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ICAITE
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投稿締切日:
2026-07-20
通知日:
2026-08-20
開催日:
2026-12-06
開催地:
Nagasaki, Japan
開催回数:
主催者:
閲覧: 8326   フォロー: 0   参加: 0

論文募集

ICAITE 2026 (International Conference on Artificial Intelligence and Teacher Education) is an academic conference held in Nagasaki, Japan on 2026-12-06. The paper submission deadline is 2026-07-20. Acceptance notifications are sent on 2026-08-20.

The ICAITE 2026 is the premier interdisciplinary platform for the presentation of new advances and research results in the field of artificial intelligence and teacher education. The conference will build a bridge among educators and scholars around the world. Topics for submission include, but are not limited to: • Fundamentals and Applied Technologies of Artificial Intelligence • Cultivation of Teachers' Digital Competence and Talent Development Models • Innovation in Teacher Education Models and Construction of a High-Quality Teacher Education System • Evidence-Based Practices in AI Teacher Education • Human-Computer Interaction in Teaching Systems • Digitization of Educational Assessment • Intelligent Learning Environments and Personalized Teaching • Educational Robots and Human-Machine Collaborative Teaching • Redefining the Role of Teachers and Teacher-Student Relationships in the Era of Artificial Intelligence • AI-Assisted Teaching and Innovative Teaching and Learning Models • The Impact of Intelligent Technologies on Education • Intelligent Technologies Promoting Educational Equity and the Construction of Teacher Education Communities • Development of a New Ecosystem for Regional Smart Education • Educational Ethics and Data Governance • Artificial Intelligence and the Future of Teaching and Learning • AI in Education：AI in examinations; Automated assessment systems; Analyse learning gaps; AI tutoring; Accessible education for all • Data and Learning Analytics • AI-Powered Educational Games • AI Tools Used in the Classroom • ChatGPT and Chatbot in Education • Develop knowledge and skills about AI • AI in STEM Education • Consider the capabilities, risks and benefits related to using AI • Distance education model • The Effects of AI on E-learning
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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
Journal of Digital Learning in Teacher EducationTaylor & Francis2153-2974
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
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BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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