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Feb 22, 2024 - Yvonne Tse Crepaldi
Tse Crepaldi, Yvonne, 2024, "RaBBiT (Raising Biilingual Babies in Talk)", https://doi.org/10.21979/N9/YZDH3C, DR-NTU (Data), V2
The RaBBiT (Raising Bilingual Babies in Talk) initiative aims to provide research-informed guidance on how to raise bilingual children to expecting parents and parents with young children aged 0 to 6. The production of the videos and booklets are supported by the Lee Kuan Yew Fun...
Adobe PDF - 9.4 MB - MD5: 405a1701ea2f97524ca53e00e68cf484
This booklet consists of a series of exercises for parents of young children and expecting parents to think and plan on the topic of “Language Decision and Communicative Strategies”, created under the RaBBiT (Raising Bilingual Babies in Talk) project, that aims to promote early b...
Adobe PDF - 1.7 MB - MD5: f3d47c86ac129c081a1b1bcf5adba358
This booklet consists of a series of exercises for parents to plan and reflect on the topic of “Family Language Policy”, created under the RaBBiT (Raising Bilingual Babies in Talk) project, that aims to promote early bilingualism. The booklet comes with a related video (https://...
Jun 30, 2023 - Ting Chun Chun
Ting, Chun Chun, 2023, "Contestations Over Urban Space in Contemporary Asian Cities", https://doi.org/10.21979/N9/AR6151, DR-NTU (Data), V1
This project aims to study contemporary Asian cities by examining how their urban spaces are represented culturally and contested politically. As Asia undergoes a rapid process of urbanization and gentrification, the claims on urban space have been multiplying. Whether it is the...
MS Word - 191.5 KB - MD5: d991c8be5374c8666903c8578e4e54b4
grant application
Apr 6, 2023 - Luke Lu
Lu, Luke Jiqun, 2023, "Investigating the Pedagogical Use of Varieties of English in the Singapore Classroom", https://doi.org/10.21979/N9/UKFBBD, DR-NTU (Data), V1
Transcripts of interviews and classroom interaction from titled research project.
MS Word - 23.4 KB - MD5: 3aa6a24cb347750ec2d7a6c141502ecc
MS Word - 26.3 KB - MD5: 46a43e25fadf247de38c9ec4e233474b
MS Word - 17.7 KB - MD5: 373ca372b02c664334aa65394520f1e4
MS Word - 25.0 KB - MD5: f6b87a4ec771cc276323ca528a6fdb06
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