Application of Artificial Intelligence in College English Listening Teaching

Artificial intelligence is playing an increasingly important role in college English teaching. Guided by Krashen's Input Hypothesis in second language acquisition, this study uses the large language model Doubao to adapt a news text from China Daily into listening material for the College English Test Band 4 (CET-4). The research explores audio production and vocabulary list creation for the listening material, clearly demonstrating the application of artificial intelligence in college English news listening teaching. This approach effectively addresses problems in traditional teaching such as outdated news content and difficulty in obtaining appropriately leveled materials, providing an effective path for improving teaching efficiency and quality.