English Listening Prediction Strategy Based on Deep Learning and Its Training Methodology

Abstract

This article explores the role of deep learning in enhancing English listening comprehension with predictive strategies. Many learners struggle with listening due to passive training methods that limit their ability to process spoken language efficiently. Prediction, a fundamental cognitive mechanism, enables proactive comprehension but is often underutilized in language instruction. This study investigates the effectiveness of prediction-based strategy training among non-English major college students by integrating cognitive informatics and neural computation principles. A comparative experiment was conducted in which an experimental group received prediction strategy training supported by deep learning models, while a control group followed traditional methods. After two months, the experimental group demonstrated significantly greater improvement in listening comprehension. Findings highlight the potential of artificial intelligence-driven cognitive modeling to optimize human information processing for language learning.