Research on task management in English teaching based on multimodal fusion neural networks

This paper addresses the issues of insufficient personalisation and efficiency bottlenecks in traditional English teaching task management by proposing a novel management model based on multimodal fusion neural networks.By deeply integrating multimodal dataincluding student learning behaviour videos, voice interactions, text assignments, and classroom expressions -the model employs neural networks for feature extraction and collaborative analysis.This enables precise perception of learning states, dynamic adaptation of task difficulty, and intelligent recommendation of teaching resources.Experimental results demonstrate that this framework effectively enhances task planning efficiency and personalisation levels, providing a new technical pathway and practical reference for intelligent English teaching management.