AI-driven innovation in Spanish language teaching: With a focus on vocabulary learning
人工智能驱动的西班牙语教学创新——以词汇学习为核心

摘要

本文聚焦人工智能技术在西班牙语词汇教学中的创新应用，旨在突破传统教学模式的局限，提升教学质量与学习成效。研究系统分析了传统教学中存在的教师主导、忽视个体差异、学习动机不足、资源匮乏及评价方式单一等问题，阐述了人工智能在词汇教学中的显著优势，包括个性化学习路径定制、智能辅导与实时反馈、以及多样化学习资源的整合。结合智能学习平台的实际应用案例，探讨了人工智能在创设情境化学习环境与优化词汇记忆策略等方面的具体实践，同时指出了当前面临的技术操作门槛、内容准确性与学生自主学习能力培养等挑战，并提出了相应对策。研究表明，人工智能能够有效提升学生的词汇学习兴趣与掌握效果，为西班牙语词汇教学提供了创新方向。未来应进一步加强技术与教学的深度融合，推动教学模式的持续革新。

Abstract

This study examines the innovative application of artificial intelligence (AI) in Spanish vocabulary teaching, aiming to overcome the limitations of traditional pedagogical models and enhance instructional quality and learning outcomes. It identifies key issues in conventional teaching practices, such as teacher-centered instruction, inattention to individual differences, lack of motivation, limited resources, and uniform assessment methods. The advantages introduced by AI—including personalized learning customization, intelligent tutoring with immediate feedback, and access to diverse learning materials—are thoroughly discussed. Through practical cases from intelligent learning platforms, the roles of AI in establishing contextual learning and improving vocabulary retention strategies are illustrated. The study also addresses challenges such as technical barriers, content accuracy, and the development of autonomous learning abilities, proposing corresponding solutions. Findings indicate that AI can significantly boost students’ interest and efficiency in vocabulary acquisition, offering an innovative pathway for Spanish language teaching. Further integration of technology and pedagogy is recommended to advance ongoing educational innovation.