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Maths and Artificial Intelligence: Parallel Yet Intersecting Approach in School Curriculum

Snehal Moghe, Bandhu Chandra Kailash, Moghe Prakash

Abstract


Understanding students' level of math and working with them in handling their doubts, queries, deciding how they want to approach math, not only as a subject, but a way of interpreting it, thinking, living it, in a less stressed, anxiety and unnecessary troubles around it, which are generally there. We are studying uses of Artificial Intelligence (AI) in diagnosis of current standing of level of math in students and then provide them curated content online/offline, worksheets, all mapped with Artificial Intelligence (AI), discover their learning path and their ultimate goal for learning math at school level, though extended beyond school/class levels they want to achieve, be it statistics like Data Analytics, Machine Learning (ML), Probability, Differentiation, Integration, Abstract Thinking (in process), etc. This ultimate goal can be determined by them; if they cannot decide, we are helping them with use of AI/ML in form of P-VAE to fill the blank spaces/wrong entries and have proper classified data also. Secondly, usage of AI in creating studies on similar/related user profiles, based on user patterns, these patterns can be in-turn based on the kind of questions correctly answered, demographics, etc. There are the questions to be asked for diagnosis, which will be totally based on Machine Learning (ML).


Keywords


Artificial Intelligence, Maths, Teaching, School, Curriculum, Statistics, Machine Learning, Analytics, Clustering, P-VAE, Content Curation, ProbabilityArtificial intelligence, Maths, teaching, school, curriculum, statistics, machine learning, analytics, c

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