Research on Teaching Reform and Innovation in a Time Series Analysis Course Based on Artificial Intelligence
Abstract
Artificial intelligence is developing rapidly, and its applications in the field of education are becoming increasingly widely popular. As a core course in statistics, economics, finance, and related disciplines, the time series analysis course is characterized by its strong theoretical and practical dimensions. This study explores teaching reform and innovation in a time series analysis course based on artificial intelligence. It optimizes teaching content, methodologies, and assessment systems by integrating artificial intelligence tools and techniques. The aim is to enhance students’ learning engagement and practical application skills, cultivate their innovative thinking, and strengthen their ability to solve real-world problems. Furthermore, this study provides valuable insights for teaching reforms in related academic fields.
References
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