Demystifying unsupervised learning: how it helps and hurts
Humans and machines rarely have access to explicit external feedback or supervision, yet
manage to learn. Most modern machine learning systems succeed because they benefit …
manage to learn. Most modern machine learning systems succeed because they benefit …
Acceptability of a Mindfulness-Based Professional Development Program to Support Educational Leader Well-Being
Objectives This research investigated how school and district leaders perceive and respond
to an adapted version of the Cultivating Awareness and Resilience in Education (CARE) …
to an adapted version of the Cultivating Awareness and Resilience in Education (CARE) …
Single and multiple systems in categorization and category learning
Learning to classify the world into categories is fundamental to human cognition. Some
categorizations seem to be made explicitly based on rules whereas other categorizations …
categorizations seem to be made explicitly based on rules whereas other categorizations …
Generalizations: The grail and the gremlins.
PJ Bauer - 2023 - psycnet.apa.org
The current state of psychological science is such that we frequently fail to achieve one of
the major goals of research: to generalize findings beyond the samples, stimuli, and …
the major goals of research: to generalize findings beyond the samples, stimuli, and …
Category Learning Can Depend on Location-Specific Visual Representations
L Rosedahl, T Watanabe - Journal of Cognitive Enhancement, 2024 - Springer
Category learning is essential to much of our daily lives. Whether we are determining if the
road is icy or just wet, or deciding whether our pet is hungry or just faking it, we are using …
road is icy or just wet, or deciding whether our pet is hungry or just faking it, we are using …
Successful generalization of conceptual knowledge after training to remember specific events
TM Houser, A Resnick, D Zeithamova - Frontiers in Cognition, 2024 - frontiersin.org
Introduction Categorization involves grouping information to make inferences and support
novel decisions. In the laboratory, category learning tasks commonly involve trial-and-error …
novel decisions. In the laboratory, category learning tasks commonly involve trial-and-error …
Investigating the Role of Predictive Representations in Implicit Event Boundaries, Statistical Learning, and Categorization
T Savalia - 2024 - scholarworks.umass.edu
We make sense of the world by extracting meaningful information from a continuous sensory
stream. Extracting meaningful information involves first segmenting this continuous sensory …
stream. Extracting meaningful information involves first segmenting this continuous sensory …
Without even Trying: How Incidental Exposure Shapes Category Learning
L Unger, ER Weichart, N Reardon… - Proceedings of the …, 2023 - escholarship.org
Our knowledge about the world is populated with categories like dog, chair, and cup. Yet
much of what we understand about how we acquire this knowledge comes from studies of …
much of what we understand about how we acquire this knowledge comes from studies of …
Practicing 360-Degree Innovation: Experiencing Design Thinking, Exhibiting Growth Mindset, and Engaging Community in a French Business School Graduate-Level …
D Cheek - Formative Design in Learning: Design Thinking …, 2023 - Springer
A truncated case of a graduate course on practical innovation within a French business
school is presented with attention to the role of design thinking, growth mindset, and student …
school is presented with attention to the role of design thinking, growth mindset, and student …