Technology Enhanced Language Acquisition: A Computer Science Framework

Abstract

As digital technologies redefine educational landscapes, language acquisition is increasingly shaped by computational innovations. This chapter explores a computer science framework for technology-enhanced language learning, highlighting the integration of artificial intelligence, natural language processing, speech recognition, and intelligent tutoring systems. It analyzes how adaptive
platforms personalize content, generate real-time feedback, and support multimodal engagement across reading, writing, speaking, and listening skills. Case studies of leading applications and a detailed discussion of pedagogical-technical intersections provide insight into the design and implementation of inclusive, ethical, and scalable solutions. This chapter offers educators, developers, and
researchers a roadmap to harness intelligent systems in service of equitable and effective language education.