Harnessing Advanced Algorithms to Unify and Analyze Complex Data in Hybrid Education Systems: A Comprehensive Review

Abstract

This paper systematically examines and synthesizes existing research on the development and application of efficient algorithms for the integration and analysis of high-dimensional heterogeneous data in hybrid education systems. The study identifies key challenges, reviews algorithmic approaches, and discusses the impact of these algorithms on enhancing the integration of online and face-to-face learning environments. The findings highlight current gaps and suggest directions for future research.