The research, led by Dr. Revathe Thillaikumar, a Marie Sklodowska-Curie Actions Postdoctoral Fellow at the Max Planck Institute of Animal Behavior, together with senior author Dr. Caroline Schuppli and colleagues at Universitas Nasional in Indonesia, is the first to demonstrate that social and individual forms of learning interact over many years to build broad, survival-relevant ecological skills in a wild great ape. Until now, scientists have debated to what extent animals acquire their survival skills by watching others or by experimenting on their own, but the long developmental timelines of great apes have made it extraordinarily difficult to connect learning events to concrete outcomes. This study closes that gap with an unusually detailed dataset and a statistical approach that treats each animal as its own developmental story.

The scale of the challenge facing a young orangutan is hard to overstate. An adult orangutan’s diet consists of nearly 250 distinct food items, selected from thousands of different options scattered across the rainforest maze. Some of those options are potentially poisonous. Beyond simply knowing what to eat, an independent orangutan must master how each food should be processed, and when and where each item can be found in the forest. As Thillaikumar asks, how do infants master this complex diet curriculum during their first years of life? Humans offer a clue, because throughout our evolutionary history we too had to learn an immense set of survival skills across many years of development, drawing on a complex interplay of social and individual learning. But whether wild animals use the same combination of learning forms to build their own survival skills had remained unknown.

To answer the question, the team drew on long-term data from the Suaq Balimbing research station in Gunung Leuser National Park, Indonesia, where an international team of researchers and field assistants follows wild Sumatran orangutans across their entire lives. For this study, the researchers analyzed data from 21 immature orangutans recorded from birth until independence at around 8.5 years of age. Across 4,700 hours of observation, they tracked three key behaviors: when the youngsters closely observed their mothers and other nearby orangutans through a behavior known as peering, which serves as a behavioral indicator of social learning; when they explored different items in their habitat, indicating individual learning; and which food items they successfully ate without help from their mothers, a direct measure of ecological competence.

The analytical challenge was formidable. Because orangutans develop so slowly, there is a multi-year lag between a learning event and any measurable change in behavior, as Schuppli explains. To bridge that gap, Thillaikumar worked with theoretical statistician Professor Paul-Christian Bürkner of TU Dortmund University to analyze just under seven thousand records of social and individual learning, keeping each animal’s history separate. This individual-level modeling was, in her words, a linchpin of the study, because it finally allowed the researchers to link the two parts that had previously been unbridgeable: learning and skill development. Rather than averaging across the population, the team could trace how each animal’s own learning tendencies shaped its own eventual diet.

The first major finding is that orangutan infants have genuinely individual learning styles. Over their long development, the immatures differed substantially from one another in how frequently they engaged in social versus individual learning. Thillaikumar admits the team was astonished by how different the infants were from one another in their tendencies to learn. Yet despite this variation, a clear pattern emerged across the group: all immatures engaged in social learning more frequently than individual learning, on average as much as five times more often. The explanation, Schuppli suggests, lies in the economics of risk. Learning purely through individual exploration can be dangerous for a naive orangutan, especially for immatures who are still growing and cannot afford to miss out on feeding opportunities. The safer option may simply be to watch and learn from knowledgeable role models, such as their mothers.

Social learning, it turns out, does far more than provide a safe alternative to exploration. When an infant engaged in social learning, it triggered subsequent exploration for as long as two and a half hours afterward. Each time an infant peered at its mother or another orangutan, it produced a prolonged ripple effect on its own subsequent explorations, priming the youngster to investigate items it had just seen handled by someone else. To disentangle the contributions of the two processes, the authors focused on explorations that were independently initiated, allowing them to test how social and individual learning worked together rather than merely replacing one another.

The answer is that the two forms of learning operate in tandem across the entire developmental period. Infants that engaged in high rates of both social and individual learning ended up with the broadest diet profiles by the time they became independent. Conversely, when both forms of learning were low, individuals ended up with the narrowest diets, producing a striking three-fold difference in diet breadth between the highest and lowest learners. Perhaps most intriguingly, increased social learning could partially compensate for low individual learning, improving diet breadth even when independent exploration was infrequent. As Thillaikumar puts it, social learning stepped in to do the heavy lifting, a result that underlines just how significant it is in the lives of great apes.

For Schuppli, the findings demand a more nuanced appreciation of the mechanisms underlying great ape cultures. It is about more than just social or individual learning, she says; it is about the interplay of complex learning mechanisms that has driven the development of a broad, highly survival-relevant cultural competence in one of our closest living relatives in the wild. That interplay, she argues, suggests that the sophisticated cultural learning seen in humans may have deep evolutionary roots, predating the split between our lineages by many millions of years. In other words, the recipe for human culture, a blend of attentive observation and hands-on experimentation sustained over a long childhood, may already have been simmering in the forests where our ape relatives live today.

Questions remain. The study shows that heightened learning produces broader diets, but exactly how this advantage arises is still open. Are high-learning orangutans simply accumulating knowledge about more items, or are they actually getting better at learning itself? The team now plans to look beyond diet breadth to determine whether greater learning also improves energy intake, and ultimately whether it translates into measurable differences in survival and reproduction. As co-author Dr. Sri Suci Utami-Atmoko of Universitas Nasional notes, questions like these can only be answered by watching animals in their natural environment from birth to death, because long-term field studies provide the time and space to follow long-lived animals across their whole histories. For orangutans, she says, these studies offer a window into how culture and survival have become intertwined over evolutionary time. For the rest of us, they offer a humbling reminder that the path to competence, in the rainforest as in our own species, is neither purely taught nor purely discovered, but built patiently from both.

Subject of Research: How social and individual learning styles shape ecological skill development in wild orangutans

Article Title: Learning style predicts survival skills in young orangutans

Article References: Learning style predicts survival skills in young orangutans. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: orangutans, social learning, individual learning, animal culture, Sumatra, diet breadth, great apes, childhood development, ecological competence, field study, Science journal, Max Planck Institute

At the center of the study is the thalamus, a collection of nuclei buried beneath the cerebral cortex that has long been understood as a relay hub. Sensory signals arriving from the eyes, ears, and body pass through thalamic nuclei before reaching the cortex, but the thalamus is far more than a passive switchboard. It actively gates information, coordinating which signals reach which cortical areas and when. This gating function is thought to be essential for attention, the cognitive ability to select relevant information while filtering out distraction.

Thalamocortical connectivity, the strength and organization of the pathways linking thalamus and cortex, undergoes protracted development across childhood and adolescence. These connections are established through a combination of genetic programming and activity-dependent refinement, a process in which neural circuits are strengthened or pruned based on the patterns of activity they carry. Because learning environments shape the patterns of neural activity a child experiences day after day, researchers have reasoned that such environments could plausibly influence how these circuits mature.

In the new work, the research team examined whether children’s learning environments were associated with developmental differences in thalamocortical attention circuits. The study focused on childhood, a period during which attentional control improves dramatically and during which the underlying brain networks are still actively organizing. Attention in childhood depends on a distributed set of networks, including frontoparietal control systems and subcortical structures such as the thalamus, that together support sustained focus, task switching, and the suppression of distracting stimuli.

The analysis rested on the principle that age and environment interact. Rather than treating brain development as a fixed timetable unfolding identically in every child, the investigators tested whether age-related differences in thalamocortical circuitry varied depending on the characteristics of the environments in which children learned. This interaction approach is important because it distinguishes a simple correlation between environment and brain measures from the more specific hypothesis that environment is linked to the pace or pattern of developmental change.

The thalamus is particularly well positioned to serve as a nexus between environment and cognition. Its nuclei receive inputs not only from sensory organs but also from the basal ganglia, the cerebellum, and prefrontal cortex, placing it at a crossroads of motor, motivational, and executive signals. Different thalamic nuclei project to different cortical territories, from primary sensory areas to association cortices involved in higher-order cognition. This diversity of projections means that environmental influences registered in thalamic activity could, in principle, propagate broadly across the cortical networks that support learning and attention.

Attention itself is not a single capacity but a family of processes. Alerting, orienting, and executive control have been distinguished behaviorally and neurally. Alerting involves achieving and maintaining a state of readiness; orienting directs attention toward salient locations or stimuli; executive control resolves conflict among competing responses. Neuroimaging work over the past two decades has mapped these functions onto partially separable networks, and the thalamus contributes to all three, in part through its regulation of cortical excitability and its role in coordinating oscillatory rhythms that bind distributed cortical regions into coherent functional ensembles.

Developmental neuroscience has established that childhood is a sensitive window for the refinement of these systems. Longitudinal imaging studies show that thalamocortical white matter pathways, including the radiation pathways carrying signals to and from frontal cortex, continue to mature through the school years. Functional connectivity between thalamus and prefrontal regions strengthens with age, paralleling improvements in the ability to sustain attention in classrooms, resist distraction, and follow multi-step instructions. Disruptions to this maturation have been documented in developmental disorders characterized by attentional impairments, underscoring the circuits’ behavioral relevance.

Against this backdrop, the question of whether learning environments matter becomes more than academic. Children spend a substantial proportion of their waking hours in structured learning settings, from classrooms to after-school programs to home study environments, and these settings differ widely in their levels of structure, stimulation, and social interaction. Previous research has linked socioeconomic factors, educational quality, and home literacy environments to differences in cortical thickness, hippocampal volume, and white matter integrity. Extending this line of inquiry to the thalamocortical system connects environmental research to the subcortical machinery that gates cortical input.

The association reported in the study does not establish causation. As with most human developmental research, children were not randomly assigned to environments, and it remains possible that genetic or familial factors simultaneously shape both the environments children inhabit and the trajectories of their brain development. Nevertheless, the finding that age-related differences in thalamocortical attention circuits vary with learning environments is consistent with experimental work in animal models showing that enriched environments promote synaptic growth, myelination, and altered thalamic and cortical circuit organization, while deprived environments retard these processes.

Animal studies have provided some of the strongest causal evidence that environment sculpts thalamocortical circuits. In rodent models, housing animals in enriched cages with toys, running wheels, and social companions increases dendritic complexity in cortical neurons, strengthens inhibitory and excitatory balance in sensory cortices, and modifies the timing of critical periods during which thalamocortical connections are especially malleable. Conversely, early-life deprivation prolongs developmental immaturity in thalamocortical pathways. These findings lend biological plausibility to the human correlative results reported in the new study.

The implications for education are potentially significant. If the pace of thalamocortical maturation is linked to environmental characteristics, then educational settings during childhood may be not merely venues for transmitting knowledge but active participants in shaping the neural substrates of attention itself. Attention is a foundational cognitive skill: children who struggle to regulate attention in early school years are at elevated risk for later academic difficulties, and interventions targeting attention have shown transferable benefits. Understanding the environmental levers that influence attention circuit maturation could inform the design of classrooms, curricula, and enrichment programs.

The study also speaks to broader debates about neuroplasticity in childhood. The traditional view that early development is paramount has given way to an appreciation that brain circuits remain modifiable across childhood and adolescence, even as the magnitude of plasticity declines with age. Thalamocortical circuits, with their activity-dependent refinement mechanisms, exemplify this extended plasticity. The new findings suggest that the modulation is not only intrinsic, driven by the child’s genetic program and spontaneous activity, but also extrinsic, responsive to the structured experiences that learning environments provide.

Methodologically, the research reflects trends in developmental cognitive neuroscience toward large samples, multimodal imaging, and careful modeling of age-by-environment interactions. Measuring learning environments rigorously is challenging, since environments encompass physical features, pedagogical practices, and social dynamics. Studies in this tradition typically rely on validated questionnaires and behavioral assessments to characterize environmental dimensions, which are then related to magnetic resonance imaging measures of brain structure and function while accounting for confounds such as family socioeconomic status and household characteristics.

Future work will need to determine whether the associations observed are stable over time, whether they predict later attentional abilities, and whether interventions that enrich learning environments produce corresponding changes in thalamocortical circuits. Longitudinal designs and randomized enrichment trials, though difficult to conduct, would substantially strengthen the causal interpretation. Integrating genetic data could further clarify how much of the observed variation reflects inherited factors interacting with experience rather than experience alone.

For now, the study contributes a distinctive piece to the puzzle of how minds take shape. The thalamus, once viewed as a simple relay, emerges as a site where the world a child learns in may be woven into the very wiring of attention. As research continues to trace these connections from classroom to cortex, the boundary between education and neuroscience grows thinner, and the case for treating childhood learning environments as matters of public health and brain development grows stronger. The circuits that let a child focus on a teacher’s voice amid a noisy classroom are still under construction throughout childhood, and the new evidence suggests the blueprints are being drawn, at least in part, by the environments themselves.

Subject of Research: Association between childhood learning environments and age-related maturation of thalamocortical attention circuits

Article Title: Learning environments are associated with age-related differences in thalamocortical attention circuits in childhood

Article References: Mino-Matot, T., Kebiri, H., Jorge, J., Ledoux, J.-B., Fornari, E., Bach Cuadra, M., & Denervaud, S. (2026). Learning environments are associated with age-related differences in thalamocortical attention circuits in childhood. npj Science of Learning. https://doi.org/10.1038/s41539-026-00452-4

Image Credits: AI Generated

DOI: 10.1038/s41539-026-00452-4

Keywords: thalamocortical circuits, attention, childhood development, learning environments, brain development, neuroplasticity, thalamus, developmental neuroscience, neuroimaging, cognitive development, education, Learning

Motor competence encompasses the development of physical skills that enable children to perform tasks ranging from basic movements like running and jumping to more complex actions like playing sports or dancing. The researchers assert that the traditional methods of teaching these skills often fall short by not integrating effective motor learning strategies. Through their innovative approach, the study examines how aligning motor competence with structured learning techniques can enhance overall skill acquisition in children.

One of the core hypotheses presented in the study is that effective motor learning strategies can accelerate the development of motor competence. The researchers investigated various training methods that encourage children to engage with their physical environment creatively and purposefully. By applying these methods, children not only learn how to perform motor tasks but also develop a deeper understanding of their body’s capabilities. This dual approach promotes both physical performance and cognitive awareness, fostering a holistic development model.

The importance of this research extends beyond mere physical education. The coordination of motor competence with learning strategies can significantly impact a child’s self-esteem and confidence. When children successfully master a new skill using effective learning strategies, they experience a boost in self-efficacy. This newfound confidence can translate into other areas of their lives, encouraging them to tackle challenges head-on and nurture a growth mindset.

With the rise of digital learning tools and educational apps, the integration of technology into physical skill training has become a focal point of contemporary research. The study highlights how incorporating technology can enhance motor learning experiences. For instance, digital platforms can provide instant feedback, allowing children to correct their movements in real-time. Such tools can serve as both a motivator and a teacher, offering a multifaceted approach that aligns with modern learning preferences.

Moreover, the study emphasizes the role of educators and parents in facilitating this transformative process. Educators are encouraged to adopt these innovative learning strategies within their curricula, thus creating an environment where children can thrive. By actively participating in the skill acquisition journey, parents can reinforce their children’s learning while also fostering stronger family connections through shared activities and challenges.

The findings of this research also bear implications for the broader educational community. Classroom environments can be adapted to include more physical activity, merging academic lessons with movement-based tasks. This approach aligns with daily learning goals while promoting motor competence. Schools that embrace this holistic method of teaching can expect improved engagement and physical health among their students, potentially leading to lower obesity rates and improved academic performance.

As the study gathers attention from educational policymakers, it raises essential questions about traditional educational systems. Is it time for a complete re-evaluation of how physical education is structured in schools? The research advocates for comprehensive training for teachers, enabling them to utilize the motor learning strategies proposed in the study effectively. Such initiatives could reshape physical education into a more dynamic, inclusive, and effective component of the curriculum.

In light of the current emphasis on mental health and well-being in schools, the research also draws connections between motor competence and emotional wellness. Engaging in physical activity is known to positively impact mental health, and by effectively acquiring motor skills, children can experience reduced anxiety and improved mood. Thus, promoting motor competence not only enhances physical ability but also contributes positively to emotional regulation among children.

The importance of community involvement in promoting motor competence cannot be overstated. Local initiatives that provide children with access to recreational activities, sports teams, and movement-based programs play a vital role in reinforcing the strategies proposed by the study. When communities come together to support children’s physical development, they create an enriched environment that fosters learning, growth, and resilience.

As the research unfolds in the academic community, further studies will undoubtedly seek to validate and expand upon its findings. Collaborative efforts among researchers, educators, and health professionals will be crucial in implementing these strategies on a broader scale. This research not only opens the door to new insights into motor learning but also invites global conversations about the future of childhood education and skill acquisition.

Ultimately, the study led by Orangi, Ghorbanzadeh, and Basereh presents a compelling case for redefining our approach to childhood skill acquisition. By aligning motor competence with innovative learning strategies, there is an opportunity to transform the developmental landscape for children everywhere. As these techniques gain traction, the potential for positive change in children’s physical and cognitive development will undoubtedly reverberate across generations.

In conclusion, this research heralds a new era of understanding in skill acquisition for children. By integrating motor competence with proactive learning strategies, we can forge a path toward a healthier, more active generation. This shift not only enhances physical capabilities but also nurtures emotional and cognitive development, paving the way for holistic growth in children.

Subject of Research: Coordination of motor competence and motor learning strategies in childhood skill acquisition.

Article Title: A new idea in skill acquisition of children: coordinating motor competence with motor learning strategies.

Article References:

Orangi, B.M., Ghorbanzadeh, B. & Basereh, A. A new idea in skill acquisition of children: coordinating motor competence with motor learning strategies.
BMC Pediatr 25, 640 (2025). https://doi.org/10.1186/s12887-025-06019-3

Image Credits: AI Generated

DOI: 10.1186/s12887-025-06019-3

Keywords: skill acquisition, motor competence, motor learning strategies, childhood development, physical education, holistic development, cognitive skills, emotional wellness.