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An Exploration of AI-Driven Multimodal Teaching Model Construction for College English Reading Instruction

Year: 2025

Type: article

Abstract: Current college English reading instruction is constrained by traditional single-modal approaches, making it hard to meet students’ learning needs in the digital age. The advancement of artificial intelligence (AI) technology has injected new vitality into education, and its integration with multimodal teaching—by incorporating resources like images, audios, and videos—shows great potential to break free from the text-centric paradigm and create a more multidimensional language input environment. Multimodal reading instruction enhances language comprehension, cognitive engagement, and student learning interest. AI integration facilitates individualized learning, shifting teaching from “one-size-fits-all” to “precision-oriented”, which is key to college English education reform.

Source: Applied Science and Innovative Research

DOI: 10.22158/asir.v9n4p1

Author: Yifan Peng

Institution: Wuhan College

Language: English

Topic: Educational Technology and Pedagogy

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4414805283

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