The advent of Artificial Intelligence (AI) in this fast-changing education landscape promises to be one of the transformative forces, altering the mode of curation and delivery of educational content. This paper, hence, will analyze the paradigm shift in relevance to relevance in attribution to AI-driven educational content curation, mostly focusing on access to primary schools. In fact, the past establishment and presentation of educational content has been by far much less effective in meeting these differing needs and learning styles of the students, hence to their engagement and clarity negatively. And so, educators and researchers are responding to AI, which tries to give educational content tailored to the personal needs, preferences, and abilities of every single student. Two major strongholds for AI-based educational content curation are that it is relevance-proof and doable. For example, large databases on educational resources can be analyzed by AI, which finds patterns and correlations and results in content recommendation. This personalization leads to increased student involvement since the content is specifically tailored to align with their learning interests, purposes, and cognitive abilities for the ultimate learning experiences. This, in turn, assures marked improvement in how content is curated: improved accessibility in primary schools through AI-driven content curation. This ensures equal opportunities for each and every learner, thus preventing any hurdles to learning through vision, listening, or touching for learners with diverse learning needs and disabilities.

Title

Advance Computing and Innovative Technologies in Engineering (ICACITE), International Conference on

Publisher

IEEE

Publisher Country

India

Indexing

Scopus

Impact Factor

None

Publication Type

Online only

Volume

--

Year

2024

Pages

36