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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131 to 140 of 170 Results
Aug 17, 2021 - Sasha Dataset
MS Word - 17.2 KB - MD5: 03544e2370bf2158e57d6aeb14d7c5f8
Personal letter written by Sasha from the perspective of his self-inspired character. Language: French
Aug 17, 2021 - Sasha Dataset
Adobe PDF - 48.6 KB - MD5: f48288bb7d3a4f781807b50583388bad
Aug 17, 2021 - Sasha Dataset
MS Word - 16.4 KB - MD5: 77e04a05ea73caaa798e5a547788ced8
Personal narrative written by Sasha from the perspective of his self-inspired character. Language: French
Aug 17, 2021 - Sasha Dataset
Adobe PDF - 44.8 KB - MD5: 526d708a4becaab844b205ed3e0b506b
Aug 17, 2021 - Sasha Dataset
MS Word - 17.1 KB - MD5: 0795ffe4295537ac39c42d3a30036cf7
Portrait written by Sasha from the perspective of his self-inspired character. Language: French
Aug 17, 2021 - Sasha Dataset
Adobe PDF - 63.1 KB - MD5: 0ab870c5efc977e80838a53e152c3a00
Aug 17, 2021 - Sasha Dataset
MS Word - 15.1 KB - MD5: ab7ce48fe263ba2a53c96f61603f30ec
Meta-linguistic reflection #1 written by Sasha about developing his L2 identities in French. Language: English
Aug 17, 2021 - Sasha Dataset
Adobe PDF - 41.9 KB - MD5: a0bce1c29675c337858036f9d3c62b94
Aug 17, 2021 - Sasha Dataset
MS Word - 16.5 KB - MD5: f0f701cda874978e126bac318c40fa54
Meta-linguistic reflection #2 written by Sasha about developing his L2 identities in French. Language: English
Aug 17, 2021 - Sasha Dataset
Adobe PDF - 56.2 KB - MD5: 7f570fe1c828868158b830e7b2ff080c
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