Call for Papers

Submit your original research to ICETAI 2027

Submission is open early, ahead of the official launch. Deadlines below are indicative, following ICETAI 2026's original schedule (see Important Dates). The exact venue is still to be confirmed.

Conference Theme

“Trustworthy Agentic AI in Education: From Tools to Learning Partners”

ICETAI 2026 showed generative AI in education moving fast toward retrieval-augmented and multi-agent systems, alongside a growing, healthy skepticism about whether AI's outputs — especially in assessment — can be trusted. ICETAI 2027 puts that tension at the center: as AI shifts from a single-prompt tool toward an agentic partner in learning, how do we build, evaluate, and deploy it so it earns that trust?

Conference

ICETAI 2027 is the 2nd edition of the International Conference on Educational Technology and Artificial Intelligence, hosted in Da Nang, Vietnam, on 27 August 2027.

Indicative Topics of Interest

Subject to confirmation.

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Agentic AI and Multi-Agent Systems in Education

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Trustworthy, Explainable and Faithful AI for Learning and Assessment

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Retrieval-Augmented Generation (RAG) for Educational Applications

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From AI Tools to Learning Partners: Human-AI Collaboration in Education

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Artificial Intelligence in Education (AIED)

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Intelligent Tutoring and Learning Support Systems

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Automated Assessment and Evaluation Using AI

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Learning Analytics and Educational Data Mining

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Personalized and Adaptive Learning Systems

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AI-assisted Content Creation and Learning Design

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Mobile Learning in the Era of Wearable and Ubiquitous Computing

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Online and Distance Learning

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Digital Transformation of Education in the AI Era

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Ethics and Responsible AI in Education

Format

Paper Format

  • Length: Maximum 12 pages (including references)
  • File Format: PDF
  • Language: English

Review Process

  • Each submission is reviewed by the organizing committee
  • Track your paper's status by its assigned paper number
  • Decisions and next steps are sent to the corresponding author by email

Submit a Paper


Authors *

Mark one author as the corresponding author.

Author 1

Paper File (PDF) *

Upload your full paper as a PDF, up to 20 MB.

PDF only, up to 20 MB.