🤖 AI Summary
This study addresses the adaptive crisis of constructivist learning theory in the digital age by systematically analyzing its evolution across three technological paradigms: personal computing, networked society, and generative AI. Employing a tripartite methodology—educational theory analysis, cross-era techno-sociological comparison, and generative AI–informed pedagogical framework design—the research introduces the novel concept of “extended personhood” to theorize how digital tools and AI reconfigure learners’ self-conception, agentic capacity, and socio-relational practices. Findings confirm that constructivism remains not only a theoretically appropriate foundation for intelligent education but also a robust scaffold for realizing personalized, equitable, and democratic learning. The study yields actionable, learner-centered implementation pathways for educators and establishes a rigorous theoretical anchor for policymakers guiding technology-enabled educational transformation. (149 words)
📝 Abstract
This article explores the evolution of constructionism as an educational framework, tracing its relevance and transformation across three pivotal eras: the advent of personal computing, the networked society, and the current era of generative AI. Rooted in Seymour Papert’s constructionist philosophy, this study examines how constructionist principles align with the expanding role of digital technology in personal and collective learning. We discuss the transformation of educational environments from hierarchical instructionism to constructionist models that emphasize learner autonomy and interactive, creative engagement. Central to this analysis is the concept of an “expanded personality”, wherein digital tools and AI integration fundamentally reshape individual self-perception and social interactions. By integrating constructionism into the paradigm of smart education, we propose it as a foundational approach to personalized and democratized learning. Our findings underscore constructionism’s enduring relevance in navigating the complexities of technology-driven education, providing insights for educators and policymakers seeking to harness digital innovations to foster adaptive, student-centered learning experiences.