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A concept inventory is a criterion-referenced test designed to help determine whether a student has an accurate working knowledge of a specific set of concepts. Historically, concept inventories have been in the form of multiple-choice tests in order to aid interpretability and facilitate administration in large classes.
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 ...
The Gregorc Style Delineator is a self-scoring written instrument that elicits responses to a set of 40 specific words. [3] Scoring the responses will give values for a model with two axes: a "perceptual space duality," concrete vs. abstract, and an "ordering duality," sequential vs. random [4] The resulting quadrants are the "styles":
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 and sequential styles of thinking but lesser preferences in interpersonal or imaginative modes, though he asserts all people use all styles to varying degrees.
Conceptual questions or conceptual problems in science, technology, engineering, and mathematics (STEM) education are questions that can be answered based only on the knowledge of relevant concepts, rather than performing extensive calculations. They contrast with most homework and exam problems in science and engineering that typically require ...
Concept learning, also known as category learning, concept attainment, and concept formation, is defined by Bruner, Goodnow, & Austin (1956) as "the search for and testing of attributes that can be used to distinguish exemplars from non exemplars of various categories".
Mathematical models are used in applied mathematics and in the natural sciences (such as physics, biology, earth science, chemistry) and engineering disciplines (such as computer science, electrical engineering), as well as in non-physical systems such as the social sciences [1] (such as economics, psychology, sociology, political science). It ...
Mathematics makes up that part of the human conceptual system that is special in the following way: It is precise, consistent, stable across time and human communities, symbolizable, calculable, generalizable, universally available, consistent within each of its subject matters, and effective as a general tool for description, explanation, and prediction in a vast number of everyday activities ...