Title: Research on task management in English teaching based on multimodal fusion neural networks
Authors: Tiantian Tang; Xin Guo
Addresses: College of Applied Technology, Dalian Ocean University, Dalian 116300, Liaoning, China ' Qinhuangdao Open University, Qinhuangdao, 066000, Hebei, China
Abstract: 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 data - including 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.
Keywords: multimodal; fusion neural networks; English teaching; task management.
DOI: 10.1504/IJRIS.2026.155449
International Journal of Reasoning-based Intelligent Systems, 2026 Vol.18 No.18, pp.1 - 11
Received: 02 Dec 2025
Accepted: 07 Jan 2026
Published online: 03 Aug 2026 *


