心理学
背景(考古学)
民族
数学教育
样品(材料)
定性研究
教育技术
定性性质
教育学
半结构化面试
语境学习
学习风格
语境效应
多元方法论
教学方法
计算机辅助通信
文化多样性
混合学习
体验式学习
服装
判决
主动学习(机器学习)
个性化学习
研究生
高等教育
认知风格
作者
Wu‐Yuin Hwang,Thi-Rin-Gan Nguyen,Rustam Shadiev
摘要
ABSTRACT Background Cross‐cultural understanding is essential in education as learners increasingly engage with diverse cultural perspectives. Although artificial intelligence ( AI ) tools like contextual recognition and real‐time feedback offer personalised and adaptive support for these tasks, few studies have explored their role in fostering cross‐cultural understanding within authentic learning environments. Objectives This study focused on how AI supported effective learning about traditional foods and clothing from four ethnic groups: Indonesian, Thai, Vietnamese, and Chinese to promote cross‐cultural knowledge and engagement in real‐world contexts. Methods A five‐week quasi‐experimental study was conducted with 25 graduate students (8 females, 17 males, aged 23–35) from four ethnic backgrounds: Indonesian, Thai, Vietnamese, and Chinese. All participants had advanced English proficiency and no prior cross‐cultural learning experience. The AI X‐Cultural App integrated six AI ‐supported features: authentic context recognition, sample sentence generation, scaffolding, inspirational question generation, feedback, and Q&A to support cross‐cultural writing tasks. Data were collected from pre/post essays, system interaction logs, and interviews to assess cross‐cultural understanding, learning behaviours, and user perceptions. Results and Conclusions The study yielded three key findings. First, students showed significant improvements in cross‐cultural understanding after engaging with the X‐Cultural AI app. Second, students' use of AI‐generated questions and Image‐to‐Text Recognition (ITR) features strongly correlated with enhanced writing performance. Finally, interview responses revealed that participants perceived the app as highly supportive in fostering their cross‐cultural learning. These qualitative and quantitative results together indicate the strong potential of AI‐supported tools to help learners connect prior knowledge with new cultural information in real‐world, authentic learning contexts.
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