Impact of AI-Driven Language Learning Apps on Vocabulary Acquisition among English Learners
DOI:
https://doi.org/10.62583/rseltl.v2i1.32Keywords:
AI-driven language learning, vocabulary acquisition, gamification, learner motivation, educational technologyAbstract
This research investigates how AI powered language learning apps impact acquisition, among learners in China. The main focus is on comparing the effectiveness of these apps to learning methods. The study uses an approach measuring growth over time in experimental and control groups that use different learning methods. It is hypothesised that AI driven apps, which personalise the learning experience and provide feedback can improve retention and recall abilities. Additionally the study explores the influence of gamification in these apps by analysing its effects on learner motivation and engagement. To conduct this research, two groups of learners were involved in a controlled experiment, one group using methods and another group using AI driven apps. The goal of this study was to gather evidence on the effectiveness of AI powered tools for acquisition while providing valuable insights for educators, learners and developers of language learning applications. Ultimately, it aims to contribute to an understanding of technology’s role, in language education.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Liang Wei-Xun, Zhang Jia-Ying
This work is licensed under a Creative Commons Attribution 4.0 International License.
The Research Studies in English Teaching and Learning (RSELTL) Journal adopts the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows for the free distribution and modification of the work, provided that the original author and source are credited. The CC BY 4.0 license is designed to promote the dissemination of scholarly work while protecting the rights of authors.
Author Rights
Under the CC BY 4.0 license, authors retain extensive rights to their work, including but not limited to:
-
Ownership of Copyright: Authors maintain copyright ownership of their work, permitting them to deposit their work in institutional repositories, share their work as they deem appropriate, and publish their work elsewhere, provided that the original publication in RSELTL Journal is properly cited.
-
Use and Distribution: Authors are entitled to unlimited use and distribution of their own work for educational and scholarly purposes, as long as the original work is properly cited.
-
Adaptation and Derivatives: Authors have the right to adapt, modify, or create derivatives of their work, provided that the original work is properly cited, and the modifications do not misrepresent the original work.
User Rights
In accordance with the CC BY 4.0 license, users (readers, scholars, and researchers) are granted the following rights:
-
Access and Distribution: Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of articles published in RSELTL Journal without seeking prior permission from the publisher or the author, as long as the original work and authorship are properly cited.
-
Creation of Derivative Works: Users may adapt or create derivative works from the RSELTL Journal articles, provided that the original work is properly cited, and the derivative work is distributed under the same CC BY 4.0 license.
Responsibilities and Restrictions
-
Attribution: Proper attribution must be given to the original author(s) and the RSELTL Journal, including provision of a link to the original work and indication if any changes were made.
-
No Additional Restrictions: Users must not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
-
Commercial Use: The CC BY 4.0 license permits commercial use of the works, as long as the original work and authorship are properly cited.
