Abstract

Cognitive development has long been understood through the lens of constructivism, a perspective in developmental psychology advanced by figures like Jean Piaget and Jerome Bruner. Constructivism holds that learners actively build their own mental models of the world by interacting with their environment, revising their understanding through processes of assimilation and accommodation. This view emphasizes the mind’s active role in structuring knowledge, yet traditionally it treats cognition in relative isolation from the biological substrate. In other words, classical constructivist theories often posit a disembodied mind – focusing on how experience shapes thinking but giving comparatively little attention to the neural structures that enable and constrain those cognitive processes. As a result, purely cognitive constructivism may underplay the biological constraints and affordances provided by a developing brain. This paper aims to enrich the constructivist account by firmly situating cognition within its neural context, arguing that cognitive growth is a co-development of mental constructs and neural architecture. By integrating insights from neuroscience – especially the framework of neuroconstructivism – we can better understand how the brain’s plasticity, maturation, and interactions with the environment jointly shape the trajectory of cognitive development. The thesis advanced is that human cognition emerges from the dynamic interplay between neural constraints and experiential plasticity, such that learning and brain development are fundamentally intertwined processes. To support this thesis, we draw on contemporary neuroconstructivist theory and evidence. The discussion begins by revisiting the foundations of cognitive constructivism and its limitations when considered alone. We then introduce neuroconstructivism as an extended framework that incorporates neural development into our understanding of learning. The core mechanisms bridging brain and cognition – neural plasticity, developmental constraints, and progressive specialization of brain function – are examined in detail. The essential role of environmental input is considered, highlighting how enriched versus deprived conditions can dramatically alter neural and cognitive outcomes. We then explore the integrated co-development of brain and cognition, including illustrative phenomena such as the brain’s internal storytelling and self-mapping functions that bind experience to neural activity. Further, we discuss the predictive nature of the brain, looking at theories of predictive coding and the role of the Default Mode Network (DMN) as a neural workspace for constructing and refining internal models of the world. Finally, we consider practical implications of this integrated view: how it can inform educational design and therapeutic interventions, and what parallels it suggests in fields like artificial intelligence. We also address challenges in uniting cognitive and neural perspectives and reflect on ethical considerations in applying neuroscientific insights to learning and development. Through this multifaceted analysis, the paper aims to demonstrate that by rethinking constructivism through neuroscience, we arrive at a more comprehensive and biologically grounded understanding of cognition as a developing system of mind-in-brain.