This dataverse contains the written French and English productions generated by students from an advanced French course at a large public university, as well as the prompts for each task. The course focused on the development of students' L2 identities in French through self-inspired characters. For each 16 students, the dataverse contains three French productions written from the perspective of students' self-inspired characters, covering the genres of the personal narrative, personal letter, and portrait, and two meta-reflections in English in which students reflect on the development of their L2 identities through the writing process. (Names are pseudonyms.)
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141 to 150 of 170 Results
Aug 17, 2021 - Théo Dataset
MS Word - 16.8 KB - MD5: d5357f1639514a88294bfc530ba2d2a0
Personal letter written by Théo from the perspective of his self-inspired character. Language: French
Aug 17, 2021 - Théo Dataset
Adobe PDF - 46.0 KB - MD5: ee7cef211e1c3169db0b763c4be5a4d4
Aug 17, 2021 - Théo Dataset
MS Word - 17.7 KB - MD5: b52e357d77c9d3e488fe76d99acadc78
Personal narrative written by Théo from the perspective of his self-inspired character. Language: French
Aug 17, 2021 - Théo Dataset
Adobe PDF - 44.9 KB - MD5: 640c14baea4bb41cb441bce30c44e6f2
Aug 17, 2021 - Théo Dataset
MS Word - 17.2 KB - MD5: 16f592f4eaf8cf27fa251777fbb46c00
Portrait written by Théo from the perspective of his self-inspired character. Language: French
Aug 17, 2021 - Théo Dataset
Adobe PDF - 65.1 KB - MD5: 19ecec4af6a2037a03c438f55f19f8fa
Aug 17, 2021 - Théo Dataset
MS Word - 15.4 KB - MD5: c689bfc63ec71e7bbb17cd04d9e1b80f
Meta-linguistic reflection #1 written by Théo about developing his L2 identities in French. Language: English
Aug 17, 2021 - Théo Dataset
Adobe PDF - 41.2 KB - MD5: 66245b84746bee856e455c26c21879ff
Aug 17, 2021 - Théo Dataset
MS Word - 46.5 KB - MD5: 71abb6c1da92f48b279bd81fb098dfc5
Meta-linguistic reflection #2 written by Théo about developing his L2 identities in French. Language: English
Aug 17, 2021 - Théo Dataset
Adobe PDF - 41.8 KB - MD5: a67f974fd844b24633b62f14f9ecba20
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