Low-Code Platforms in Public Education: Opportunities and Challenges for Equitable Access

Abstract

Low-code development platforms in the system of public education are a new way to make sure that educational technology is accessible to all and to solve the long-standing problem of digital disparities. Low-code systems offer educators and administrators the opportunity to create complex applications without the need for substantial knowledge in programming, which is a game-changer in the traditional approach to software development within educational establishments. These platforms show considerable promise for speeding up deployment schedules, improving accessibility standards, and enabling tailored learning experiences with integrated artificial intelligence features. Educational organizations adopting low-code platforms indicate greater operational efficiency, lowered development expenses, and improved collaboration among technical and non-technical participants. Nevertheless, the expansion of these platforms presents intricate challenges such as algorithmic bias in AI-based educational suggestions, constraints of automated quality assurance systems, and significant issues regarding student data privacy. The comprehensive data gathering features embedded in contemporary educational platforms prompt essential inquiries regarding surveillance concerns and the safeguarding of digital rights in educational contexts. Effective execution of low-code educational platforms necessitates strong governance structures that reconcile technological advancement with algorithmic responsibility, data security measures, and considerations for educational equity. The merging of accessibility, scalability, and affordability provided by low-code platforms offers unique chances to close digital gaps. Still, diligent focus on bias reduction strategies and privacy safeguards is required to guarantee fair educational results across various institutional settings.