NO-CODE ARCHITECTURES AND LEARNING ENVIRONMENTS IN EARLY CHILDHOOD AND PRIMARY EDUCATION (I): FUNCTIONAL TAXONOMY AND STRUCTURAL MODELS
NO-CODE ARCHITECTURES AND LEARNING ENVIRONMENTS IN EARLY CHILDHOOD AND PRIMARY EDUCATION (I): FUNCTIONAL TAXONOMY AND STRUCTURAL MODELS

Summary/Abstract: This study investigates integrating no-code architectures, specifically cloud-based platforms such as Google AppSheet®, within Early Childhood and Primary Education (ECPE). To meet the urgent need for flexible digital transformation in educational environments, the research establishes a multidimensional functional taxonomy to transform mobile relational databases into robust psychopedagogical tools. By analyzing the structural dichotomy between administrative backend control panels and interactive child-facing frontends, the study bridges the gap between software development and educational design. The proposed methodological framework evaluates technical affordances against developmental, cognitive, and organizational constraints. The findings provide educators, instructional designers, and researchers with a systematic approach to repurposing productivity-oriented cloud platforms into secure, scalable, and pedagogically aligned digital ecosystems for modern classrooms.

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