Mediated Cyberspaces: Deconstructionist Analysis of Artificial Intelligence in Educational Economics

Potential Abstract:
Artificial intelligence (AI) has rapidly permeated various aspects of society, including education. As technology continues to advance, educational institutions are increasingly leveraging AI in an effort to enhance teaching and learning experiences. This paper adopts a deconstructionist lens to analyze the integration of AI in educational economics within mediated cyberspaces. By deconstructing the underlying assumptions and power dynamics inherent in the use of AI in education, this study seeks to uncover the complexities and nuances that shape the intersection of technology, economics, and pedagogy.

Drawing on critical theoretical frameworks, this research examines how AI-mediated cyberspaces in education can both empower and marginalize various stakeholders. By interrogating the ways in which AI algorithms are designed, implemented, and interpreted within educational settings, this study aims to shed light on the potential consequences for equity, access, and student outcomes. Furthermore, it explores the role of educators, policymakers, and technology developers in shaping the ethical and social implications of AI in educational economics.

Through a multi-method approach that combines qualitative analysis, case studies, and policy reviews, this research contributes to a deeper understanding of the complex interplay between artificial intelligence, economics, and education in mediated cyberspaces. By illuminating the underlying power structures and discourses that influence the adoption of AI in education, this study provides valuable insights for educators, researchers, and policymakers seeking to navigate the evolving landscape of educational technology.

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