The relevance of this study lies in the development and implementation of accessible, clear, and functional linguistic tools that ensure the realization of rights, freedoms, and legal safety of all participants in smart educational ecosystems. The study reveals a key idea how language and verbal resources operate within legal communications in a digital educational environment oriented toward intelligence, automation, sustainability, and user rights. The digitalization of education and the shift toward smart learning ecosystems are shaping new interaction formats among learners, teachers, administrators, AI systems, and digital platforms. Smart Learning Ecosystems represent an integrated type of system characterized by a complex hybrid-digital learning environment in which the educational process is built upon digital technologies, artificial intelligence, data analysis, and interactions among all participants (learners, educators, platforms, administrators, etc.) to achieve sustainable, adaptive, and inclusive educational goals. The functioning of smart educational ecosystems necessitates the creation of a new linguistic environment, where legal protection must be ensured not only through legal norms but also through language and speech resources as tools for effective communication, interpretation, regulation, and conflict prevention. This study seeks to identify linguistic mechanisms of legal protection aimed at ensuring regulatory transparency, interpretative clarity, and legal accessibility in communications among participants within the digital educational space. The methodology is grounded in the concepts of legal conflict linguistics, digital pedagogy, legal linguistics, digital rights and data protection, and speech act theory. The research employs linguistic, legal, discursive, and cognitive analysis, as well as elements of content analysis and comparative methods to identify the specific features of how linguistic legal protection mechanisms operate in smart learning ecosystems.

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Linguistic Mechanisms of Legal Protection of Participants in Smart Educational Ecosystems

  • Altyn Bakytzhanova,
  • Syrym Zhanzhigitov,
  • Bolat Syzdyk

摘要

The relevance of this study lies in the development and implementation of accessible, clear, and functional linguistic tools that ensure the realization of rights, freedoms, and legal safety of all participants in smart educational ecosystems. The study reveals a key idea how language and verbal resources operate within legal communications in a digital educational environment oriented toward intelligence, automation, sustainability, and user rights. The digitalization of education and the shift toward smart learning ecosystems are shaping new interaction formats among learners, teachers, administrators, AI systems, and digital platforms. Smart Learning Ecosystems represent an integrated type of system characterized by a complex hybrid-digital learning environment in which the educational process is built upon digital technologies, artificial intelligence, data analysis, and interactions among all participants (learners, educators, platforms, administrators, etc.) to achieve sustainable, adaptive, and inclusive educational goals. The functioning of smart educational ecosystems necessitates the creation of a new linguistic environment, where legal protection must be ensured not only through legal norms but also through language and speech resources as tools for effective communication, interpretation, regulation, and conflict prevention. This study seeks to identify linguistic mechanisms of legal protection aimed at ensuring regulatory transparency, interpretative clarity, and legal accessibility in communications among participants within the digital educational space. The methodology is grounded in the concepts of legal conflict linguistics, digital pedagogy, legal linguistics, digital rights and data protection, and speech act theory. The research employs linguistic, legal, discursive, and cognitive analysis, as well as elements of content analysis and comparative methods to identify the specific features of how linguistic legal protection mechanisms operate in smart learning ecosystems.