Contexts provide information that is central to understanding the meaning of events. Studies of associative learning, including Pavlovian fear conditioning and extinction, in animal models and humans ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

In the past decades, significant advances have been made in the understanding of the computational and neural bases of reward-based learning and decision making. On the other hand, computations and ...

In this interdisciplinary analysis, the authors examine the use of visual images in the college classroom. They share examples and critical reflections that illuminate the strengths and challenges in ...

In this paper I attempt to clarify how the relationship between macro and micro social contexts has been addressed in the Vygotskian and Neo-Piagetian approaches to learning. For each approach I look ...

Often, I hear uncertainty about the future framed as a debate around how people learn. There is ongoing speculation — by training and development experts within organizations as a conversation among ...

Psychologists had people learn words from two phonetically similar languages in virtual reality environments. Those who learned each language in its own unique context mixed up fewer words and were ...

Responding to a need for culturally responsive and place-based educational frameworks, the Hawaiʻi DOE’s Office of Hawaiian Education is piloting a proficiency-based pathway to prepare students for ...

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...