PRINCIPLES OF THE APPLICATION OF CORPUS ANALYSIS IN INCLUSIVE EDUCATION
Keywords:
Corpus analysis, inclusive education, data-driven learning, lexical competence, accessibility, differentiated instruction.Abstract
This paper looks into core ideas behind using corpus analysis within inclusive education, pulling insights from key researchers including Bukvic (2014), Loguercio (2018), Barber (2018), Crawford (2020), and Keppens et al. (2021). Because of their work in inclusive teaching methods and language studies based on corpora, this research gathers recent results while combining them into one connected model for using corpus tools across varied learning environments. It shows how data-based learning boosts vocabulary skills, encourages independent learners, while also helping tailor teaching for those with special needs. Focus shifts toward access, flexibility, alongside ethical issues when building and using corpora. The analysis proves corpus methods, if matched with inclusion goals, can boost both impact and fairness in EFL teaching - supporting diverse language use along with inclusive classroom strategies.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.