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The 70:20:10 model for learning and development (also written as 70-20-10 or 70/20/10) is a learning and development model that suggests a proportional breakdown of how people learn effectively. It is based on a survey conducted in 1996 asking nearly 200 executives to self-report how they believed they learned.
However, it has also been linked with authoritarianism, superstitious beliefs, and stereotypical thinking. [4] [9] Sex and age differences in thinking styles have also been found. Research has consistently found that women tend to rely more on experiential processing whereas men seem to be more prone to the rational system.
These learning styles are not innate to an individual but rather are developed based on an individual's experiences and preferences. [10] Based on this model, the Honey and Mumford's Learning Styles Questionnaire (LSQ) [11] was developed to allow individuals to assess and reflect on how they consume information and learn from their experiences ...
A popular multi-dimensional instrument for the measure of cognitive style is the Myers–Briggs Type Indicator.. Riding (1991) developed a two-dimensional cognitive style instrument, his Cognitive Style Analysis (CSA), which is a compiled computer-presented test that measures individuals' position on two orthogonal dimensions – Wholist-Analytic (W-A) and Verbal-Imagery (V-I).
The format of the instrument is a 116-question online assessment, which determines the degree of preference for each of the model's four styles of thinking. More than one style may be dominant (or a primary preference) at once in this model. [8] [9] For example, in Herrmann's presentation a person may have strong preferences in both analytical ...
The approach works on two levels: a four-stage learning cycle and four distinct learning styles. Kolb's experiential learning theory has a holistic perspective which includes experience, perception, cognition and behaviour. It is a method where a person's skills and job requirements can be assessed in the same language that its commensurability ...