Beyond Abacus, Mathematics Curriculum and Their Extension Using Artificial Intelligence
Keywords:
Artificial Intelligence (AI), mathematics, Ganitiya Aadhar, abacus, curriculum, school education, machine learning, expert systems, conversational AI, natural language processing, NEP 2020, skillsetAbstract
In today's education system, along with National Education Policy (NEP) 2020, in India, recognizing each student's aptitude for mathematics and collaborating with them to address their queries, worries, and decisions about how to approach math—not just as a subject but also as a way of comprehending, considering, and living it—will aid them in coping with the stress, anxiety, and issues that are usually connected to it. To help students identify their learning path and ultimate goal for mastering math at the school level, as well as any statistics, Data Visualization, Design Thinking, Strategic Thinking- they may wish to pursue outside of the classroom, not limited to: data analytics, machine learning (ML), probability, etc., I investigate the use of artificial intelligence (AI) to diagnose students' current math proficiency and then provide them with worksheets and carefully selected online and offline content that is all mapped with AI. This paper aims at comparing existing systems with usage of AI in monitoring students for their studies and results generation. It also focuses on evaluating and finding out the ratio of higher-order thinking skills (HOTS) as compared with AI skillsets desired among students. We also find the generic causes of bad/below average performance of students in maths, in traditional teaching environment.
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