Accuracy and reliability of large language models in assessing learning outcomes achievement across cognitive domains.

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to evaluate the accuracy and reliability of these LLMs in evaluating the achievement of learning outcomes across different cognitive domains in a scientific inquiry course on sports physiology. Human graders and three LLMs, GPT-3.

Feedback matters: EEG correlates of empathy involved in the naturalistic communication of emotions.

Empathy involves the processing of complex information related to dynamic interactions between the empathizer and target. One neural signature of empathy is the suppression of electroencephalographic mu rhythm (8-13 Hz) over the sensorimotor region. It is important to consider that few researchers have studied the effects of empathizer feedback on empathy and its underlying neural mechanism, and most previous research has lacked ecological validity due to standardized emotional stimuli and constraints on the experiment environment.

2021 NEDI-Singapore study: an updated inventory of emergency department characteristics.

Introduction: The last national emergency department (ED) inventory was performed in 2007, and major changes in population demographics, healthcare needs and infrastructure have since occurred. We sought to obtain an updated inventory of EDs in Singapore to identify and describe changes in their characteristics and capabilities across the years.

Methods: In 2021, the National Emergency Department Inventories (NEDI) instrument was administered to the leadership of Singapore EDs.

Entorhinal cortex represents task-relevant remote locations independent of CA1.

Neurons can collectively represent the current sensory experience while an animal is exploring its environment or remote experiences while the animal is immobile. These remote representations can reflect learned associations and be required for learning. Neurons in the medial entorhinal cortex (MEC) reflect the animal's current location during movement, but little is known about what MEC neurons collectively represent during immobility.