Dataset on Enhancing Vocabulary Retention and Pronunciation Accuracy with AI-Driven Animated Characters: A Mixed-Methods Approach

This dataset supports the study "Enhancing Vocabulary Retention and Pronunciation Accuracy through Personalized AI-Driven Animated Characters in Language Learning: A Mixed-Methods Approach". It includes quantitative and qualitative data from 150 participants who used the AI-driven character, ABIM, to improve vocabulary retention and pronunciation in Indonesian. The dataset covers metrics on engagement, perceived improvements, ease of use, and participant feedback on usability and challenges. This data is valuable for research on AI in education, language learning, and user experience in digital tools.

本数据集支持对“通过个性化AI驱动的动画角色提升语言学习中的词汇记忆与发音准确性：混合方法研究”的探讨。该数据集包含了150名参与者使用AI驱动的角色ABIM来提升印尼语词汇记忆与发音能力的定量与定性数据。数据集涵盖了参与度、感知到的改进、易用性以及参与者对可用性和挑战的反馈等指标。这些数据对于AI在教育、语言学习以及数字工具用户体验研究中的研究价值显著。