动物的文化传播
社会学
文化学习
计算机科学
生态人类学
社会学习
文化遗产
非物质文化遗产
公民新闻
文化分析
分析
参与式文化
全球化
文化艺术品
游戏娱乐
参与式行动研究
大数据
教育技术
学习分析
民族志
文化认同
多媒体
教育学
体验式学习
主动学习(机器学习)
人工智能
戏剧
数字化学习
知识管理
文化知识
文化智力
反射(计算机编程)
文化多样性
智能代理
文化能力
数字媒体
作者
Ritesh Tomer,Pallavi,Virender Kumar Chandoria,Simerpreet,Pooja Singh,Shagufta
出处
期刊:ShodhKosh Journal of Visual and Performing Arts
[Granthaalayah Publications and Printers]
日期:2026-02-17
卷期号:7 (1s): 213-222
标识
DOI:10.29121/shodhkosh.v7.i1s.2026.7163
摘要
The globalization and the loss of intergenerational transmission are rapidly increasing, which poses a threat to the continuation of folk cultural traditions and necessitates interactive and scalable preservation systems. By combining artificial intelligence with learning game worlds, it is possible to create adaptive storytelling, multimodal cultural simulation, and customizable learning paths that can turn passive consumption of heritage into participatory cultural experience. An experimental architecture was developed based on a multilayer design of cultural knowledge graphs, intelligent AI services, gameplay interaction, and learning analytics that were experimentally tested using controlled learner studies. Quantitative findings indicate better normalized learning gain, better retention, better persistence of engagement, and high expert-validated cultural authenticity than non-adaptive digital learning resources. Semantic coherence and responsible cultural representation was achieved through knowledge-graph grounding and community validation. The results show that AI-based cultural games can be used as both pedagogical resources and living digital preservation ecosystems that can maintain long-term engagement with intangible heritage. Scalable multilingual implementation, immersive XR implementation, and privacy-preserving community-based learning models will continue to be the primary areas of the responsible AI-driven cultural education development.
科研通智能强力驱动
Strongly Powered by AbleSci AI