Conference Information

ICAITE 2026: International Conference on Artificial Intelligence and Teacher Education

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Submission Date:
2026-09-20 Extended
Notification Date:
2026-10-20
Conference Date:
2026-12-06
Location:
Nagasaki, Japan
Years:
Organizer:
Viewed: 8988   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.9 / 100
Ranked #2,897 of 5,687 conferences · Top 51%

#68 of 139 in Education & Learning Technology #322 of 741 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
37
Community attention (10%)
16
Public record completeness (15%)
55

Inputs used: Editions on record: 3 · Researchers who opened this page in the past 24 months: 8

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-25

Call For Papers

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 2026-09-20 (extended). Acceptance notifications are sent on 2026-10-20.

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
Last updated by Dunn Carl on

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