The Evolutionary Impact of Self-presentation Tactics in Asynchronous Communication on L2 Learners' Language Skill Development
Anxiety in language interaction has long been a challenge in second language learning. Learners who experience high levels of anxiety often avoid real-time communication, missing valuable opportunities to practice. Fortunately, digital toolssuch as online forums, AI chatbots, and avatar systemsnow offer low-pressure environments by allowing learners to respond at their own pace. This study investigates how these tools enhance language skills while addressing ethical concerns, such as overdependence on technology.Key findings reveal that interactions through avatars reduce stress-related brain activity by 28% and boost participation rates by 58% . However, heavy reliance on AI tools comes with a cost: learners ability to internalize grammar rules declines by 5.3% monthly. To address these challenges, the study emphasizes balancing technology with ethical guidelines. For example, platforms designed to respect cultural normslike adapting interfaces for learners from collectivist societiescan foster inclusivity. Collaboration between educators, technologists, and neuroscientists is also critical to creating supportive learning environments.This research ultimately charts a path forward: embracing tools that let learners set their own paceempowering their growth while safeguarding their unique identities and cultural roots. By balancing innovation with ethical grounding, People can ensure technology acts as a supportive partner in language learning, keeping the warmth of human connection alive behind screens rather than letting sterile algorithms dictate how people connect.
Authors
- Yiwen Chen (ORCID: https://orcid.org/0000-0002-9008-8346)
Institutions
- Jiangsu University of Science and Technology (CN)
Publication Details
- Journal
- Lecture Notes in Education Psychology and Public Media
- Published
- 2025-06-27
- DOI
- https://doi.org/10.54254/2753-7048/2025.nd24318
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00