Year: 2024 | Month: December | Volume 14 | Issue 2
The Impact of AI-Driven Teaching Approaches on STEM Education
Soni Kesarwani
Rashmi Singh
DOI:10.30954/2231-4105.02.2024.3
Abstract:
In the field of education, Artificial intelligence teaching approaches not only modify but also enhance students’ learning experience. In modern times, AI-based machine learning, natural language learning tools, data analytical tools, and personalized learning tools help students experience new things and intensify their motivation. AI in education analyzes huge data to identify patterns and provide suitable recommendations to improve student engagement and performance. AI can also provide immediate and beneficial feedback to allow students to understand their strengths and weaknesses. AI supports collaborative learning environments, promoting
active participation, critical thinking, and problem-solving skills to modify learning paths and deliver adaptive feedback to fulfill the aim of STEM education. AI has completely changed STEM education to provide personalized and flexible learning opportunities. Artificial intelligence helps to analyze data, provide instant feedback, and foster cooperative learning, like machine learning, natural language processing, and data analytics.
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