Evaluating Metaverse-based L2 Vocabulary Learning Effectiveness Using a Proposed Metric of Vocabulary Forgetting Percentage
收藏DataCite Commons2025-08-11 更新2025-09-08 收录
下载链接:
https://figshare.com/articles/dataset/Evaluating_Metaverse-based_L2_Vocabulary_Learning_Effectiveness_Using_a_Proposed_Metric_of_Vocabulary_Forgetting_Percentage/29880485/1
下载链接
链接失效反馈官方服务:
资源简介:
Vocabulary gain and retention are key metrics in second language (L2) vocabulary learning, yet they often overlook the proportional loss of learned vocabulary over time. This study introduces a percentage-based metric—Vocabulary Forgetting Percentage (VFP)—to address this limitation. A quasi-experiment involving 50 Chinese middle school EFL learners compared metaverse-based vocabulary learning (MG) with slides-assisted learning (SG). Across three sessions, participants learned equivalent vocabulary content and completed pretests, immediate post-tests, and delayed post-tests. Independent-samples t-tests were used to compare vocabulary gains, retentions, and VFPs.
提供机构:
figshare
创建时间:
2025-08-11



