AI Based Future Development and Case Analysis in the Education Service Industry
DOI:
https://doi.org/10.70393/6a69656173.323933ARK:
https://n2t.net/ark:/40704/JIEAS.v3n3a01Disciplines:
Artificial Intelligence TechnologySubjects:
Machine LearningReferences:
30Keywords:
Artificial Intelligence (AI), AI in Education, Adaptive Learning, Natural Language Processing (NLP), Educational Technology (EdTech), Real-time Feedback, AI-as-a-Service (AIaaS)Abstract
The education industry is being transformed by Artificial Intelligence through hyper-personalized learning, real-time feedback, and scalable, modular content delivery. This paper focuses on key AI methodologies—machine learning, natural language processing, computer vision, and speech recognition—and examines how they enable pedagogical innovation, improve operational efficiency, and reshape business models in education. It explores future scenarios such as AI-assisted teaching, lifelong learning ecosystems, and adaptive curriculum design, using real-world case analyses. The study also addresses critical infrastructure challenges, including data quality, system integration, faculty preparedness, and cultural alignment. By combining strategic and technological perspectives, this research provides a comprehensive view of AI’s long-term impact on educational services.
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