Curriculum Prioritization, Most Essential Learning Competencies (MELCs), COVID-19, Curriculum Coherence, Teacher Agency Share ...

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

The research introduces the Model of Acceptance of Artificial Intelligence Devices, known as the MIDA model, designed ...

This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.

AI has evolved significantly, shifting from narrow, task-specific automation to advanced Cognitive Intelligence Platforms ...

Artificial intelligence (AI)—and especially generative AI—is becoming part of learners’ and educators’ everyday study, teaching, and assessment practices at ...

This study presents a novel model-agnostic framework that integrates large language models (LLMs) with cognitive diagnosis models (CDMs) to enhance the accuracy and robustness of cognitive assessments ...

Lab-grown “reductionist replicas” of the human brain are helping scientists understand fetal development and cognitive disorders, including autism. But ethical questions loom. Brain organoids, which ...

ABSTRACT: Motivation is formed by a breadth of elements, including biological, psychological, social, cultural, and environmental influences, and is characterised as a key component of students’ ...

Abstract: Concept-cognitive learning (CCL) is the process of enabling machines to simulate the concept learning of the human brain. Existing CCL models focus on formal context while neglecting the ...