Conference Topics — CAAIE 2027

Call for Papers

Full Topics List

Theme of the Conference: Algorithms, Analytics, AI Applications and Education

AI-Enhanced Teaching & Learning

AI-driven personalised and adaptive learning
Intelligent tutoring and recommendation systems
AI-enhanced curriculum design and instructional strategies
Human – AI collaboration in education
Immersive, experiential and interactive learning with AI

Learning Analytics & Assessment

Learning analytics and educational data mining
AI-supported assessment and feedback
Assessment and AI
AI-driven online proctoring

Smart Education Systems

Smart classrooms and smart campuses
Educational technologies and digital education
Generative AI in teaching and learning
Generative AI in education

Ethics, Governance & Policy

Ethical, privacy, and bias considerations in AI for education
Ethics, governance, and policy in AI education

Lifelong & Professional Learning

AI for lifelong, workplace, and professional learning

Interdisciplinary AI & Applications

Machine learning, deep learning and explainable AI
AI applications in cybersecurity, healthcare, and industry
Data science and intelligent systems supporting education

Authors are kindly invited to submit their formatted full papers including results, tables, figures, and references. Please read the author guidelines carefully.

Types of Submissions and Decisions

The following types of papers can be submitted:

Finished or consolidated R&D work, to be included in one of the Conference themes (10-page limit).
Ongoing work with relevant preliminary results, open to discussion (10-page limit).

All papers will be subject to a double-blind review by at least three members of the Program Committee. Poster papers and company papers are not published in the Conference Proceedings, but are presented and discussed; poster authors should prepare an A1 vertical format poster with a 7-minute discussion slot.

Full Author Guidelines