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The argument map tree schema of Kialo with an example path through it: all Con-argument boxes and some Pros were emptied to illustrate an example path. [34] A partial argument tree with claims and impact votes for arguments illustrates one form of collective determination of argument weights that is based on equal-weight user voting. [35]
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Thinking Maps were intended to standardize the language and visual organization used in education, which the company believed would close the achievement gap by establishing common ground. The idea was that if all children have the same background knowledge, less time would be spent teaching and re-teaching thought processes.
The original tree is converted to a binary tree: each node with more than two children is replaced by a sub-tree in which each node has exactly two children. Each region representing a node (starting from the root) is divided to two, using a line that keeps the angles between edges as large as possible.
DSRP has been used to apply systems thinking to the fields of evaluation and program planning, including a National Science Foundation-funded initiative to evaluate of large-scale science, technology, engineering, and math education programs, [27] as well as evaluations of the complexity science education programs of the Santa Fe Institute.
One of the thinking processes in the theory of constraints, a current reality tree (CRT) is a tool to analyze many systems or organizational problems at once. By identifying root causes common to most or all of the problems, a CRT can greatly aid focused improvement of the system. A current reality tree is a directed graph.
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The primary thinking processes, as codified by Goldratt and others: Current reality tree (CRT, similar to the current state map used by many organizations) — evaluates the network of cause-effect relations between the undesirable effects (UDE's, also known as gap elements) and helps to pinpoint the root cause(s) of most of the undesirable effects.