AI Technologies in Optimizing Language Learning: A View of Vocabulary Acquisition
Keywords:
AI technology, language learning, vocabulary acquisition, educational technologyAbstract
As educational paradigms shift in the digital era, artificial intelligence (AI) technologies have emerged as pivotal tools in language teaching and learning. However, many educators remain unaware of the significance and components of AI technologies in education. This paper provides an overview of AI in optimizing language learning, particularly vocabulary acquisition, through four main aspects. The first aspect covers how AI aligns with theoretical language foundations, especially in constructivism, reinforcement learning, multisensory learning, and incidental learning. Second, it highlights AI features that facilitate language learning, such as personalized language learning, natural language processing, machine learning, adaptive learning, gamification, and computational thinking, with a specific focus on vocabulary acquisition. Third, three types of AI tools are discussed in facilitating vocabulary learning: asynchronous language learning, synchronous interactive platforms, and language assessment. The final aspect addresses the challenges and limitations of AI capabilities, including data privacy, bias, accessibility, over-reliance on technology, and ethical concerns. This paper underscores the potential of AI to transform vocabulary acquisition, enhancing its accessibility and effectiveness for diverse learner populations, while highlighting the need for collaborative efforts among educators, researchers, and technology developers. Ultimately, it contributes to the ongoing discourse on the role of AI in education, providing insights into best practices and future directions for research and implementation in language learning environments.
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