Adaptive Learning with AI: How Bots Personalize Foreign Language Education
The integration of artificial intelligence (AI) in language education has led to the emergence of adaptive learning systems that personalize instruction based on individual learners' needs. AI-powered chatbots and virtual tutors offer real-time feedback, interactive engagement, and accessibility, making foreign language learning more efficient. This paper explores the advantages and challenges of AI-driven adaptive learning in language acquisition. While AI enhances personalized learning paths, engagement through gamification, and 24/7 accessibility, it also presents limitations such as a lack of human interaction, authenticity issues, and challenges in assessing fluency and creativity. Additionally, ethical concerns arise regarding its integration into formal curricula and its potential over-reliance by learners. The article argues that AI should be viewed as a complementary tool rather than a replacement for human instruction. Future advancements in AI models, incorporating cultural awareness and emotional intelligence, may bridge some of these gaps, making AI-driven language learning even more effective. A balanced approach, where AI supplements rather than replaces traditional teaching, is essential to ensuring comprehensive and meaningful language acquisition.
Authors
- Gerda Urbaite (ORCID: https://orcid.org/0009-0001-5471-6210)
Publication Details
- Journal
- Luminis Applied Science and Engineering
- Published
- 2025-02-13
- DOI
- https://doi.org/10.69760/lumin.20250001002
- Citations
- 3
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 7.44