npj Science of Learning最新文献

Mental rotation, a crucial aspect of spatial cognition, can be improved through repeated practice. However, the long-term effects of combining training with non-invasive brain stimulation and its neurophysiological correlates are not well understood. This study examined the lasting effects of a 10-day mental rotation training with high-definition transcranial direct current stimulation (HD-tDCS) on behavioral and neural outcomes in 34 healthy participants. Participants were randomly assigned to the Active and Shan groups, with equal group sizes. Mental rotation tests and EEG recordings were conducted at baseline, 1 day, 20 days, and 90 days post-training. Although HD-tDCS showed no significant effect, training led to improved accuracy, faster response times, and enhanced task-evoked EEG responses, with benefits lasting up to 90 days. Notably, task-evoked EEG responses remained elevated 20 days post-training. Individual differences, such as gender and baseline performance, influenced the outcomes. These results emphasize the potential of mental rotation training for cognitive enhancement and suggest a need for further investigation into cognition-related neuroplasticity.

Neuroscience findings offer promising ways to enhance performance in educational settings. Adolescents often experience sleep deprivation, impacting memory processes crucial for learning. The synaptic homeostasis hypothesis (SHY) posits that non-rapid eye movement (NREM) sleep, particularly slow wave activity (0.5-4 Hz), downscales synapses potentiated during wakefulness, facilitating post-sleep encoding. Here, we evaluate the impact of a short nap on memory encoding of a biology lesson in a classroom setting. High school students were randomly assigned to a Nap group allowed to sleep (35-min sleep opportunity) or a Control group engaging in calm activities. Afterwards, they received the lesson and were immediately tested. The Nap group showed better memory encoding, but this was not explained by NREM sleep. Instead, longer periods of NREM sleep showed a negative correlation with performance, possibly due to sleep inertia. Thus, while short naps can enhance academic performance, careful timing may help mitigate potential sleep inertia effects.

Using spatial mapping processes to discriminate between threat and safety is crucial for survival. Little is known why some fail to discriminate during contextual conditioning. We used a virtual reality (VR) contextual conditioning paradigm to elucidate the effects of state and trait anxiety on contextual threat learning. Participants (n = 70) "picked" flowers in a VR environment. Dangerous zone flowers predicted an electric shock, while safe zone flowers did not. Between trials, participants completed a spatial memory task. Galvanic skin response (GSR) and State Trait Anxiety Inventory scores were recorded. Participants were considered learners for correctly identifying both zones. Non-learners, compared to learners, performed worse during the spatial memory task and demonstrated higher state anxiety scores and GSR. Learners showed higher skin conductance response (SCR) in the dangerous compared to the safe zone, while non-learners showed no SCR differences between zones. Results indicate state anxiety may impair spatial mapping, disrupting contextual threat learning.

The ability to adjust movements in response to perturbations is key for an efficient and mature nervous system, which relies on two complementary mechanisms - feedforward adaptation and feedback control. We examined the developmental trajectory of how children employ these two mechanisms using a previously validated visuomotor rotation task, conducted remotely in a large cross-sectional cohort of children aged 3-17 years and adults (n = 656; 353 males & 303 females). Results revealed a protracted developmental trajectory, with children up to ~13-14 years showing immature adaptation. Younger children relied more on feedback control to succeed. When adaptation was the only option, they struggled to succeed, highlighting a limited ability to adapt. Our results show a gradual shift from feedback control to adaptation learning throughout childhood. We also generated percentile curves for adaptation and overall performance, providing a reference for understanding the development of motor adaptation and its trade-off with feedback control.

Ageing is associated with elevated pure-tone thresholds, accompanied by increased difficulties in understanding speech-in-noise. While amplification provides important, but insufficient support, auditory-cognitive training (ACT) might propose a solution. However, generalized effects have been scarce, highlighting the necessity of training designs targeting naturalistic listening situations. We addressed this issue by designing a short-term ACT in a purely auditory- and a virtual multisensory environment, targeting both, sensory and cognitive processing of natural speech. 40 healthy older participants with varying hearing- and cognitive capacities were exposed to both trainings (cross-over design), while speech-in-noise perception was measured before and after each session. Immersive ACT exposure resulted in increased speech-in-noise perception, particularly for individuals with more pronounced hearing loss or reduced auditory working memory capacity. These results demonstrate that combining sensory and cognitive training elements, particularly in a multisensory environment, has the potential to improve speech in noise perception.

Recently, the option to use large language models as a middleware connecting various AI tools and other large language models led to the development of so-called large multimodal foundation models, which have the power to process spoken text, music, images and videos. In this overview, we explain a new set of opportunities and challenges that arise from the integration of large multimodal foundation models in education.

Previous studies have insufficiently explored the influence of task and interpersonal interdependence on synchronous cooperation behavior. To address this gap, this study utilized fNIRS hyperscanning technique to investigate the behavioral and neural mechanisms within both friend and stranger dyads engaging in various levels of interdependent cooperation tasks. Our findings revealed that high interdependent cooperation task can improve the behavioral performance of both friend and stranger dyads, enhancing the intra-brain functional connectivity (FC) of right dorsolateral prefrontal cortex (DLPFC.R) and right supramarginal gyrus (SMG.R) in stranger dyads, as well as the inter-brain synchrony (IBS) of SMG.R. Additionally, high interdependent interpersonal relationship can strengthen the intra-brain FC of DLPFC.R and SMG.R, as well as the IBS of SMG.R, during low interdependent cooperation task. These insights underscore the critical importance of both task and interpersonal interdependences in shaping cooperative behavior and neural synchrony.

The consolidation process stabilizes a new initially labile memory. This consolidation could operate on a shorter timescale during wakefulness after initial motor learning. Within micro-offline learning states, sequences of simple individual actions learned through interleaved practice are condensed into a unified skill through a time-dependent consolidation process occurring during wakeful periods. While emerging evidence links Glutamate and GABA modulations in the primary motor cortex (M1) to motor learning, its relationship with micro-offline consolidation processes in brief resting states during motor learning is unclear. To investigate this issue, we employed Transcranial magnetic stimulation (TMS) to evaluate whether interindividual variation of different neurotransmitters at rest influences motor learning consolidation in humans. Our results point to the role of GABAB in micro-offline motor consolidation processes during motor learning in M1. This finding could have an important impact on planning neuropharmacology or non-invasive brain stimulation approaches in clinical domains, such as post-stroke rehabilitation.

Executive functions (EF) are crucial to regulating learning and are predictors of emerging mathematics. However, interventions that leverage EF to improve mathematics remain poorly understood. 193 four-year-olds (mean age = 3 years; 11 months pre-intervention; 111 female, 69% White) were assessed 5 months apart, with 103 children randomised to an integrated EF and mathematics intervention. Our pre-registered hypotheses proposed that the intervention would improve mathematics more than practice as usual. Multi-level modelling and network analyses were applied to the data. The intervention group improved more than the control group in overall numeracy, even when controlling for differences across settings in EF and mathematics-enhancing practices. EF and mathematics measures showed greater interconnectedness post-intervention. In addition, disadvantaged children in the intervention group made greater gains than in the control group. Our findings emphasise the need to consider EFs in their integration with co-developing functions, and in their educational and socio-economic context.

The introduction of large language models (LLMs) may change future pedagogical practices. Current research mainly focuses on the use of LLMs to tutor students, while the exploration of LLMs' potential to assist teachers is limited. Taking high school mathematics as an example, we propose a method that utilizes LLMs to enhance the quality of teaching plans through guiding the LLM to simulate teacher-student interactions, generate teaching reflections, and subsequently direct the LLM to refine the teaching plan by integrating these teaching process and reflections. Human evaluation results show that this method significantly elevates the quality of the original teaching plans generated directly by LLM. The improved teaching plans are comparable to high-quality ones crafted by human teachers across various assessment dimensions and knowledge modules. This approach provides a pre-class rehearsal simulation and ideas for teaching plan refinement, offering practical evidence for the widespread application of LLMs in teaching preparation.