Multidisciplinary research with a focus on practical AI applications. Researchers engage across engineering, medicine, management, education, science, arts, law and many other multidisciplinary areas.
The conference establishes a global intellectual forum for researchers, computer scientists, educators, and engineers. Its objective is to explore how emerging technologies—specifically Artificial Intelligence—can transform educational pedagogy, scientific methodologies, and industrial applications. It bridges the gap between technical AI development and practical classroom/field implementation.
It provides an opportunity to interact with peers outside your immediate vertical (e.g., a software developer collaborating with a child psychologist or school administrator).
Accepted papers are usually published in official conference proceedings, with exceptional submissions recommended for inclusion in peer-reviewed or Scopus-indexed partner journals.
Features keynote presentations from international experts, panel discussions on current technological bottlenecks, and oral or virtual research presentations.
Generative AI in curriculum development, personalized student learning systems, automated grading metrics, virtual classrooms, and digital learning tools.
Machine learning models used to solve complex scientific equations, environmental forecasting, data mining, and smart infrastructure.
Deliberating the social impacts, regulatory frameworks, copyright compliance, and ethical boundaries of deploying AI in academic environments.
Original research papers are accepted from 34 disciplines:
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