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 International Forum on the Integration of Artificial Intelligence in Teaching and Learning 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 move beyond the hype 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 on pedagogical performance, 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 share empirical research and policy frameworks that will define the next generation of smart learning environments, ensuring that technological advancements bridge the digital divide and foster the professional evolution of the "Digital Teacher."

Track 1: Intelligent & Adaptive Pedagogies

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

Track 2: Smart Schools & IoT Integration

• IoT in Education: Smart classrooms, sensor-based learning environments, and attendance automation.
• Wearable Technology: Monitoring student engagement and emotional well-being through IoT devices.
• Edge AI for Privacy: Localized data processing to ensure school data security.

Track 3: Assessment, Integrity & Learning Analytics

• AI-Resistant Assessment: Reimagining evaluation methods to promote critical thinking over memorization.
• Multimodal Learning Analytics (MMLA): Analyzing speech, gesture, and text for holistic student evaluation.
• Blockchain in Education: Secure tracking of micro-credentials and digital skill acquisition.

Track 4: Ethics, Policy & Digital Sovereignty

• Explainable AI (XAI): Ensuring transparency in AI-driven educational decisions.
• Algorithmic Bias: Addressing equity and cultural inclusion in educational software.
• National Digital Sovereignty: Frameworks for protecting national educational data.