Data-driven learning and professional culture: Using textometry to analyze organizations in applied foreign language programs
In the era of Big Textual Data, Applied Foreign Languages (LEA) programs have a clear niche to occupy in the set of degree programs offering both business and language courses. LEA’s combined emphasis on humanities, social sciences, and business courses has the potential to allow students to gain a...
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| Publicado en: | URI:https://journals.openedition.org/asp, |
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| Autor principal: | |
| Formato: | Article ou chapitre numérique |
| Lenguaje: | Anglais |
| Publicado: |
ASp
2022
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| Materias: | |
| Acceso en línea: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Sumario: | In the era of Big Textual Data, Applied Foreign Languages (LEA) programs have a clear niche to occupy in the set of degree programs offering both business and language courses. LEA’s combined emphasis on humanities, social sciences, and business courses has the potential to allow students to gain a better understanding of the institutional processes in which discourse participates in organizational contexts. In addition, the appearance of textometric software, such as Iramuteq (Ratinaud 2014), provides a relatively user-friendly method for applying discourse analysis to large amounts of organizational discourse. This paper argues that discourse analysis through textometry can be used to enhance LEA students’ analysis of organizational culture though a data-driven learning approach. We present an exploratory study of textometry used in an LEA course. |
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