2026-09-19T15:18:01Zhttps://api.drum.lib.umd.edu/server/oai/request

oai:drum.lib.umd.edu:1903/330642024-11-13T08:02:04Zcom_1903_2249com_1903_1631com_1903_2col_1903_2780col_1903_3

Marsh, Diana E Nanduri, Dinesh Kumar Digital Repository at the University of Maryland University of Maryland (College Park, Md.) Information Studies 2024-07-02T05:47:42Z 2024-07-02T05:47:42Z 2024 https://doi.org/10.13016/7xtg-fqws http://hdl.handle.net/1903/33064 In an era marked by the rapid disappearance of languages, UNESCO warns that nearly half of the world's linguistic heritage might soon become dormant. Despite its current health, Telugu has seen a decline in usage, reduced focus in India's educational systems, and overshadowing by dominant global languages. This thesis explores Generative Artificial Intelligence (GenAI) to counter this trend, focusing on its application in native language learning for children, key carriers of their ancestral tongues. Through scoping reviews and participatory design sessions with young Telugu-speaking learners and their guardians, the study investigates GenAI's role in enhancing language learning tailored to individual and cultural contexts. It highlights storytelling as a potent mechanism for language acquisition, facilitated by GenAI's ability to personalize learning experiences and bridge generational gaps. The research also addresses ethical considerations vital for designing GenAI tools, promoting inclusivity, bias mitigation, and cultural integrity protection. It showcases a future where technology helps prevent linguistic dormancy and empowers children to celebrate human language and cultural diversity. en Exploring The Role Of Generative Artificial Intelligence In Cultural Relevant Storytelling For Native Language Learning Among Children Thesis Design AI Children Culture Generative AI Language learning Storytelling open.access