Cognitive Reflection Test and Learning Methods

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Related lectures (31)

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Acquiring Data for Learning: Modern Approaches and Challenges

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Spatial Configuration and Teaching

Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.

Proper Actions and Quotients

Covers proper actions of groups on Riemann surfaces and introduces algebraic curves via square roots.

Landscape and Generalisation in Deep Learning

Explores the challenges and insights of deep learning, focusing on loss landscape, generalization, and feature learning.

How People Learn: Design and Learning Process

Covers observational learning, implicit pattern learning, inquiry learning, procedural learning, and working memory functions.

Acquiring Data for Learning

Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.

Introduction to Machine Learning: Course Overview and Basics

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Active Learning for Molecular Design

Covers machine learning approaches for material design, practical examples, and software tools for research.

Neuroscience and AI: Bridging the Gap

Explores the gap between AI and human intelligence through neuroscience-inspired models and algorithms.

Cognitive Processes: Learning and Thinking

Covers teaching approaches, cognitive processes, and learning strategies, including left-brain thinking, concept mapping, and cooperative learning significance.