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In October, 2011 the Learning Registry development team released its Paradata Specification V1.0 [[12] that details the schemata of JSON objects for representing learning resource paradata. In 2016 the US Dept of Ed and others published a spec for various companies to push their paradata to the Learning Registry. [ 13 ]
The use of multiple representations supports and requires tasks that involve decision-making and other problem-solving skills. [2] [3] [4] The choice of which representation to use, the task of making representations given other representations, and the understanding of how changes in one representation affect others are examples of such mathematically sophisticated activities.
Visual learning is a learning style among the learning styles of Neil Fleming's VARK model in which information is presented to a learner in a visual format. Visual learners can utilize graphs, charts, maps, diagrams, and other forms of visual stimulation to effectively interpret information.
Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...
Dalitz plot : This a scatterplot often used in particle physics to represent the relative frequency of various (kinematically distinct) manners in which the products of certain (otherwise similar) three-body decays may move apart; Drain plot : A two-dimensional plot where the data are presented in a hierarchy with multiple levels. The levels ...
In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Euclidean space. The procedure thus appears to be the counterpart of principal component analysis for ...
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Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.