The 2026 International Forum on Artificial Intelligence in Education

The rapid evolution of Artificial Intelligence (AI) is reshaping the global educational landscape,necessitating a shift from mere digitization to a structural transformation that addresses the automation of cognitive processes.

The 2026 International Forum on Artificial Intelligence in Education serves as a premier interdisciplinary platform to critically examine the construction of an integrated educational model that embeds AI-driven pedagogy into classroom practices and assessment methods.

By bringing together researchers, policymakers, and technology experts, this forum aims to explore how AI tools from intelligent tutoring systems to generative models can be integrated into curricula to enhance student outcomes and self-regulated learning without compromising human agency or the teacher's role as an essential facilitator.

Key discussions will focus on systemic foresight in curriculum design, the impact of learning analytics, and the establishment of digital governance frameworks that protect cultural identity and academic integrity. Through these lenses, the forum invites the global academic community to define the next generation of smart learning environments and foster the professional evolution of the "Digital Teacher."

TOPICS OF INTEREST

Scope and Related Subareas

The forum welcomes contributions across all related subareas, including but not limited
to the following tracks.

Track 1: Pedagogies

• LLMs & Generative AI: Roles of ChatGPT and similar models in personalized tutoring.
• Adaptive Instructional Systems:Algorithms for real-time content customization.
• Neuro-Education: Leveraging AI to understand cognitive loads.

Track 2: Smart Schools

• IoT in Education: Smart classrooms and attendance automation.
• Wearable Technology: Monitoring engagement and emotional well-being.
• Edge AI for Privacy:Localized data processing for security.

Track 3: Analytics

• AI-Resistant Assessment: Reimagining evaluation for critical thinking.
• Multimodal Analytics (MMLA): Analyzing speech, gesture, and text.
• Blockchain: Secure tracking of micro-credentials.

Track 4: Ethics & Policy

• Explainable AI (XAI): Ensuring transparency in AI decisions.
• Algorithmic Bias: Addressing equity and cultural inclusion.
• Digital Sovereignty: Protecting national educational data.

The proceedings of IF-AIE 2026 will be published in the Advances in Computer Science Applications and Research (ACSAR) series by Springer Nature