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Problem solving is the process of achieving a goal by overcoming obstacles, ranging from simple personal tasks to complex issues in various fields. The web page explains the different types, methods, and approaches of problem solving in psychology, cognitive sciences, computer science, and logic.
Problem-based learning (PBL) is a teaching method that involves students solving open-ended problems to learn about a subject. PBL aims to develop skills such as critical thinking, collaboration and lifelong learning, and has been applied to various fields of education.
Computational thinking (CT) is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could also execute. CT involves abstraction, data representation, and logically organizing data, and is used in various fields and subjects.
Abstract thinking is the ability to understand concepts that are not tied to concrete objects and experiences. Learn how abstract thinking develops, why it's important, and when it can be a problem.
Cognitive skill is a skill of the mind, such as literacy, reasoning, or problem solving. Learn about the types, functions, and theories of cognitive skills, and how they relate to intelligence and brain science.
Intelligence is a complex and controversial concept that involves various mental abilities and adaptive behaviors. Learn about the different definitions, domains, and historical perspectives of intelligence from psychology, philosophy, and artificial intelligence.
Concrete thinking is a literal way of processing information that focuses on the physical world. Learn how concrete thinking develops, who becomes concrete thinkers, and what challenges they may face.
Critical thinking is the analysis of facts, evidence, observations, and arguments to form a judgement by rational, skeptical, and unbiased means. Learn about the origins, etymology, and characteristics of critical thinking from various sources and perspectives.