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Knowledge-based decision making model [1] Knowledge-Based Decision-Making (KBDM) in management is a decision-making process [2] that uses predetermined criteria to measure and ensure the optimal outcome for a specific topic. KBDM is used to make decisions by establishing a thought process and reasoning behind a decision. [3]
SCAMPER ("substitute, combine, adjust, modify, put to other uses, eliminate, reverse") is an acronym that provides a structured way of assisting students to think out of the box and enhance their knowledge. [1] It is thought to protect students' creativity as they mature. [2]
Lateral thinking has to be distinguished from critical thinking. [8] Critical thinking is primarily concerned with judging the true value of statements and seeking errors whereas lateral thinking focuses more on the "movement value" of statements and ideas. A person uses lateral thinking to move from one known idea to new ideas.
An expert system is an example of a knowledge-based system. Expert systems were the first commercial systems to use a knowledge-based architecture. In general view, an expert system includes the following components: a knowledge base, an inference engine, an explanation facility, a knowledge acquisition facility, and a user interface. [48] [49]
The Design Thinking Playbook. Hoboken, NJ: Wiley, 2018. Liedtka, Jeanne. Designing for Growth: A Design Thinking Tool Kit For Managers. New York: Columbia University Press, 2011. ISBN 0-231-15838-6; Liedtka, Jeanne. Solving Problems with Design Thinking: Ten Stories of What Works. New York: Columbia University Press, 2013. ISBN 0-231-16356-8
ThinkBlocks can be used in multiple ways. Children can play with them as with other blocks, attaching and detaching different blocks with one another and nesting smaller blocks within larger blocks. They are also designed to be used in conjunction with the Patterns of Thinking method, as a so-called "tactile manipulative" used to model ideas. [7]
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems.
The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. [6] [3] Computational thinking involves ideas like abstraction, data representation, and logically organizing data, which are also prevalent in other kinds of thinking, such as scientific thinking, engineering thinking, systems thinking, design thinking, model-based thinking, and ...