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Using ANAI, citizen data scientists and other developers with limited machine learning expertise can easily ingest data, generate insights and build/train ML models.
Evaluate the performance of a student and track their learnings to give a personalized syllabus using an AI-based recommendation system.
Take care of administrative works such as student attendance, admission processes, etc. using AI saving a lot of time, cost, and trivial errors that usually happen.
Deploy AI-based chatbots for doubt clearing to help students solve their doubts 24 x 7, without any limitations.
AI systems can indirectly enable students and teachers from all over the globe to connect and share knowledge with each other and research on relevant things without any borders and limitations.
The cost incurred while building, deploying, and maintaining such AI models is tremendous and can lead to an extra burden on the educational entities using such models.
AI-based systems should be trusted by everyone affected by their decisions. Hence, any bias within the system should be removed as soon as possible as it can affect students in the future.